{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c20a514c",
   "metadata": {},
   "source": [
    "## Code used to calculate excess deaths from PM2.5 in South America\n",
    "\n",
    "This code was used for the manuscript “Health impacts of smoke exposure in South America: Increased risk for populations in the Amazonian Indigenous territories.” (Bonilla et al. 2023)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "664ee86c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pickle\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as matplotlib\n",
    "import format_plots as fp #from Hannah Nesser\n",
    "\n",
    "##add figure of PM at country level vs indigneou land"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "57db91fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "#loading all the \n",
    "q2014 = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2014.pkl','rb'))\n",
    "q2014_TIs = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2014_ind.pkl','rb'))\n",
    "q2015 = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2015.pkl','rb'))\n",
    "q2015_TIs = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2015_ind.pkl','rb'))\n",
    "q2016 = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2016.pkl','rb'))\n",
    "q2016_TIs = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2016_ind.pkl','rb'))\n",
    "q2017 = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2017.pkl','rb'))\n",
    "q2017_TIs = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2017_ind.pkl','rb'))\n",
    "q2018 = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2018.pkl','rb'))\n",
    "q2018_TIs = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2018_ind.pkl','rb'))\n",
    "q2019 = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2019.pkl','rb'))\n",
    "q2019_TIs = pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2019_ind.pkl','rb'))\n",
    "###the 2014_2019 output needs to be changed bc this last run was not with the correct iterations\n",
    "q2014_2019= pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2014_2019.pkl','rb'))\n",
    "q2014_2019_TIs= pickle.load(open('../AQ_Amazon_files/mortality_SA/mortality_output_dump_2014_2019_ind.pkl','rb'))\n",
    "\n",
    "\n",
    "#mort_full = q['PM25']['Vodonos 2018 all-cause']['fires']['morts_vs_ref']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "21484bdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "brazil_mortlity= pd.DataFrame()\n",
    "brazil_mortlity['year']=['2014','2015','2016','2017','2018','2019']\n",
    "brazil_mortlity['mortality']=[1227039,1264175,1309774,1312664,1316719,1348232]\n",
    "WHO_2016_mort_brazil=1320400 \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "afbad667",
   "metadata": {},
   "outputs": [],
   "source": [
    "##function to make a table of the country total & ind mortalities w/ percentiles for vodonos et al 2018\n",
    "##inputs: mortality output pickle files for the total excess and excess mort for TIs\n",
    "##output: datframe with mort totals per country\n",
    "def country_mort(q,q_TIs):\n",
    "    mort_full = q['PM25']['Vodonos 2018 all-cause']['no_fires']['morts_vs_ref']\n",
    "    mort_full_TIs = q_TIs['PM25']['Vodonos 2018 all-cause']['no_fires']['morts_vs_ref']\n",
    "\n",
    "    country_mort_tot = pd.DataFrame()\n",
    "    country_mort_tot['country']= q['aux']['countries']\n",
    "    country_mort_tot['mean_mort_total']=''\n",
    "    country_mort_tot['perc_2.5']=''\n",
    "    country_mort_tot['perc_97.5']=''\n",
    "    country_mort_tot['mean_mort_TIs']=''\n",
    "    country_mort_tot['perc_2.5_TIs']=''\n",
    "    country_mort_tot['perc_97.5_TIs']=''\n",
    "\n",
    "    #added negative signs so the numbers of mortalities can be the number of mortalitys saved\n",
    "    for i_country, country in enumerate(q['aux']['countries']):\n",
    "        if country_mort_tot['country'][i_country]==country:\n",
    "            mort_vec = mort_full[i_country,:]\n",
    "            mort_mean = np.mean(mort_vec)\n",
    "            country_mort_tot['mean_mort_total'][i_country]=-mort_mean\n",
    "            mort_pct = np.percentile(mort_vec,[2.5,97.5])\n",
    "            country_mort_tot['perc_2.5'][i_country]=-mort_pct[0]\n",
    "            country_mort_tot['perc_97.5'][i_country]=-mort_pct[1]\n",
    "\n",
    "    for i_country, country in enumerate(q_TIs['aux']['countries']):\n",
    "        if country_mort_tot['country'][i_country]==country:\n",
    "            mort_vec = mort_full_TIs[i_country,:]\n",
    "            mort_mean = np.mean(mort_vec)\n",
    "            country_mort_tot['mean_mort_TIs'][i_country]=-mort_mean\n",
    "            mort_pct = np.percentile(mort_vec,[2.5,97.5])\n",
    "            country_mort_tot['perc_2.5_TIs'][i_country]=-mort_pct[0]\n",
    "            country_mort_tot['perc_97.5_TIs'][i_country]=-mort_pct[1]\n",
    "            \n",
    "    country_mort_tot= country_mort_tot[country_mort_tot['mean_mort_total'] != 0]\n",
    "    \n",
    "    #editing the names of countrys to fit with future shapefiles\n",
    "    country_mort_tot['country'][19]='Bolivia'\n",
    "    country_mort_tot['country'][235]='Venezuela'\n",
    "    country_mort_tot['country'][64]='Falkland Islands'\n",
    "    country_mort_tot['country'][146]='Bonaire'\n",
    "    \n",
    "    return country_mort_tot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7f466a9b",
   "metadata": {},
   "outputs": [],
   "source": [
    "##function to make a table of the country total & ind mortalities w/ percentiles for vodonos et al 2018\n",
    "##inputs: mortality output pickle files for the total excess and excess mort for TIs\n",
    "##output: datframe with mort totals per country\n",
    "def country_mort_fires_only(q,q_TIs):\n",
    "    mort_full = q['PM25']['Vodonos 2018 all-cause']['fires_only']['morts_vs_ref']\n",
    "    mort_full_TIs = q_TIs['PM25']['Vodonos 2018 all-cause']['fires_only']['morts_vs_ref']\n",
    "\n",
    "    country_mort_tot = pd.DataFrame()\n",
    "    country_mort_tot['country']= q['aux']['countries']\n",
    "    country_mort_tot['mean_mort_total']=''\n",
    "    country_mort_tot['perc_2.5']=''\n",
    "    country_mort_tot['perc_97.5']=''\n",
    "    country_mort_tot['mean_mort_TIs']=''\n",
    "    country_mort_tot['perc_2.5_TIs']=''\n",
    "    country_mort_tot['perc_97.5_TIs']=''\n",
    "\n",
    "    #added negative signs so the numbers of mortalities can be the number of mortalitys saved\n",
    "    for i_country, country in enumerate(q['aux']['countries']):\n",
    "        if country_mort_tot['country'][i_country]==country:\n",
    "            mort_vec = mort_full[i_country,:]\n",
    "            mort_mean = np.mean(mort_vec)\n",
    "            country_mort_tot['mean_mort_total'][i_country]=-mort_mean\n",
    "            mort_pct = np.percentile(mort_vec,[2.5,97.5])\n",
    "            country_mort_tot['perc_2.5'][i_country]=-mort_pct[0]\n",
    "            country_mort_tot['perc_97.5'][i_country]=-mort_pct[1]\n",
    "\n",
    "    for i_country, country in enumerate(q_TIs['aux']['countries']):\n",
    "        if country_mort_tot['country'][i_country]==country:\n",
    "            mort_vec = mort_full_TIs[i_country,:]\n",
    "            mort_mean = np.mean(mort_vec)\n",
    "            country_mort_tot['mean_mort_TIs'][i_country]=-mort_mean\n",
    "            mort_pct = np.percentile(mort_vec,[2.5,97.5])\n",
    "            country_mort_tot['perc_2.5_TIs'][i_country]=-mort_pct[0]\n",
    "            country_mort_tot['perc_97.5_TIs'][i_country]=-mort_pct[1]\n",
    "            \n",
    "    country_mort_tot= country_mort_tot[country_mort_tot['mean_mort_total'] != 0]\n",
    "    \n",
    "    #editing the names of countrys to fit with future shapefiles\n",
    "    country_mort_tot['country'][19]='Bolivia'\n",
    "    country_mort_tot['country'][235]='Venezuela'\n",
    "    country_mort_tot['country'][64]='Falkland Is.'\n",
    "    country_mort_tot['country'][69]='France'\n",
    "    \n",
    "    return country_mort_tot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c1ad84c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#run country mortality code for all the years and sum the country means for vodonos\n",
    "country_2014=country_mort(q2014,q2014_TIs)\n",
    "country_2015=country_mort(q2015,q2015_TIs)\n",
    "country_2016=country_mort(q2016,q2016_TIs)\n",
    "country_2017=country_mort(q2017,q2017_TIs)\n",
    "country_2018=country_mort(q2018,q2018_TIs)\n",
    "country_2019=country_mort(q2019,q2019_TIs)\n",
    "\n",
    "country_2014_fires_only=country_mort_fires_only(q2014,q2014_TIs)\n",
    "country_2015_fires_only=country_mort_fires_only(q2015,q2015_TIs)\n",
    "country_2016_fires_only=country_mort_fires_only(q2016,q2016_TIs)\n",
    "country_2017_fires_only=country_mort_fires_only(q2017,q2017_TIs)\n",
    "country_2018_fires_only=country_mort_fires_only(q2018,q2018_TIs)\n",
    "country_2019_fires_only=country_mort_fires_only(q2019,q2019_TIs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c24c731",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8ac1b1df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>mean_mort_total</th>\n",
       "      <th>perc_2.5</th>\n",
       "      <th>perc_97.5</th>\n",
       "      <th>mean_mort_TIs</th>\n",
       "      <th>perc_2.5_TIs</th>\n",
       "      <th>perc_97.5_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>1069.408363</td>\n",
       "      <td>1851.696052</td>\n",
       "      <td>279.735034</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>6.356161</td>\n",
       "      <td>11.061303</td>\n",
       "      <td>1.601161</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>785.230939</td>\n",
       "      <td>1352.962895</td>\n",
       "      <td>207.288849</td>\n",
       "      <td>70.696902</td>\n",
       "      <td>121.728073</td>\n",
       "      <td>18.436346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>6532.89566</td>\n",
       "      <td>11308.266617</td>\n",
       "      <td>1695.978117</td>\n",
       "      <td>40.30393</td>\n",
       "      <td>69.428708</td>\n",
       "      <td>10.547858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Chile</td>\n",
       "      <td>848.753572</td>\n",
       "      <td>1475.625652</td>\n",
       "      <td>212.273984</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      country mean_mort_total      perc_2.5    perc_97.5 mean_mort_TIs  \\\n",
       "8   Argentina     1069.408363   1851.696052   279.735034          -0.0   \n",
       "15   Barbados        6.356161     11.061303     1.601161          -0.0   \n",
       "19    Bolivia      785.230939   1352.962895   207.288849     70.696902   \n",
       "22     Brazil      6532.89566  11308.266617  1695.978117      40.30393   \n",
       "39      Chile      848.753572   1475.625652   212.273984          -0.0   \n",
       "\n",
       "   perc_2.5_TIs perc_97.5_TIs  \n",
       "8          -0.0          -0.0  \n",
       "15         -0.0          -0.0  \n",
       "19   121.728073     18.436346  \n",
       "22    69.428708     10.547858  \n",
       "39         -0.0          -0.0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##getting country averages for vodonos due to average 2014-2019 smoke PM2.5 exposure \n",
    "country_mort_2014_2019 = country_mort(q2014_2019,q2014_2019_TIs)\n",
    "country_mort_2014_2019.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2b57e036",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total mortality average: 11983.326479861413Total Ind. mortality average: 226.40872022503865\n"
     ]
    }
   ],
   "source": [
    "total_mort_mean = np.sum(country_mort_2014_2019['mean_mort_total'])\n",
    "ind_total_mort_mean = np.sum(country_mort_2014_2019['mean_mort_TIs'])\n",
    "print(\"Total mortality average: \" + str(total_mort_mean) + \"Total Ind. mortality average: \" + str(ind_total_mort_mean))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6ddd68f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>mean_mort_total</th>\n",
       "      <th>perc_2.5</th>\n",
       "      <th>perc_97.5</th>\n",
       "      <th>mean_mort_TIs</th>\n",
       "      <th>perc_2.5_TIs</th>\n",
       "      <th>perc_97.5_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>906.426856</td>\n",
       "      <td>1569.12159</td>\n",
       "      <td>237.706789</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>1.373009</td>\n",
       "      <td>2.388189</td>\n",
       "      <td>0.349078</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>501.880976</td>\n",
       "      <td>867.518866</td>\n",
       "      <td>134.629062</td>\n",
       "      <td>39.383871</td>\n",
       "      <td>67.96347</td>\n",
       "      <td>10.441868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>7214.950546</td>\n",
       "      <td>12502.355248</td>\n",
       "      <td>1851.484725</td>\n",
       "      <td>32.345821</td>\n",
       "      <td>55.657053</td>\n",
       "      <td>8.542857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Chile</td>\n",
       "      <td>553.607381</td>\n",
       "      <td>962.774817</td>\n",
       "      <td>138.517452</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>980.397619</td>\n",
       "      <td>1705.80227</td>\n",
       "      <td>246.35322</td>\n",
       "      <td>11.124133</td>\n",
       "      <td>19.272587</td>\n",
       "      <td>2.894282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>25.427825</td>\n",
       "      <td>44.294595</td>\n",
       "      <td>6.373598</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Dominica</td>\n",
       "      <td>0.013056</td>\n",
       "      <td>0.020572</td>\n",
       "      <td>0.005632</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Ecuador</td>\n",
       "      <td>94.931408</td>\n",
       "      <td>164.536307</td>\n",
       "      <td>24.868802</td>\n",
       "      <td>4.936003</td>\n",
       "      <td>8.581244</td>\n",
       "      <td>1.347831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>0.00085</td>\n",
       "      <td>0.001453</td>\n",
       "      <td>0.000244</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>French Guiana</td>\n",
       "      <td>3.302637</td>\n",
       "      <td>5.740174</td>\n",
       "      <td>0.843386</td>\n",
       "      <td>0.125926</td>\n",
       "      <td>0.218814</td>\n",
       "      <td>0.032229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Grenada</td>\n",
       "      <td>0.328099</td>\n",
       "      <td>0.570606</td>\n",
       "      <td>0.083545</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Guyana</td>\n",
       "      <td>12.094987</td>\n",
       "      <td>21.030448</td>\n",
       "      <td>3.068309</td>\n",
       "      <td>0.537318</td>\n",
       "      <td>0.932886</td>\n",
       "      <td>0.138732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>0.922551</td>\n",
       "      <td>1.592305</td>\n",
       "      <td>0.260615</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Martinique</td>\n",
       "      <td>0.84105</td>\n",
       "      <td>1.462087</td>\n",
       "      <td>0.215183</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Curacao</td>\n",
       "      <td>0.369153</td>\n",
       "      <td>0.641614</td>\n",
       "      <td>0.094635</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>0.209503</td>\n",
       "      <td>0.364298</td>\n",
       "      <td>0.053453</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Bonaire</td>\n",
       "      <td>0.041482</td>\n",
       "      <td>0.0721</td>\n",
       "      <td>0.010631</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>8.588479</td>\n",
       "      <td>14.937738</td>\n",
       "      <td>2.175941</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>Panama</td>\n",
       "      <td>14.986192</td>\n",
       "      <td>26.071437</td>\n",
       "      <td>3.798326</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Paraguay</td>\n",
       "      <td>368.298129</td>\n",
       "      <td>638.483636</td>\n",
       "      <td>94.117057</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Peru</td>\n",
       "      <td>225.315038</td>\n",
       "      <td>390.576704</td>\n",
       "      <td>59.64701</td>\n",
       "      <td>43.953159</td>\n",
       "      <td>76.189685</td>\n",
       "      <td>11.650737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>Saint Lucia</td>\n",
       "      <td>0.431176</td>\n",
       "      <td>0.749493</td>\n",
       "      <td>0.110419</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>0.31246</td>\n",
       "      <td>0.543179</td>\n",
       "      <td>0.079938</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Suriname</td>\n",
       "      <td>5.989787</td>\n",
       "      <td>10.415078</td>\n",
       "      <td>1.523044</td>\n",
       "      <td>0.000414</td>\n",
       "      <td>0.000717</td>\n",
       "      <td>0.000109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>10.381555</td>\n",
       "      <td>18.071189</td>\n",
       "      <td>2.61476</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>41.505648</td>\n",
       "      <td>71.973276</td>\n",
       "      <td>10.833567</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Venezuela</td>\n",
       "      <td>516.786116</td>\n",
       "      <td>899.55857</td>\n",
       "      <td>129.474597</td>\n",
       "      <td>9.450611</td>\n",
       "      <td>16.40771</td>\n",
       "      <td>2.427173</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              country mean_mort_total      perc_2.5  \\\n",
       "8                           Argentina      906.426856    1569.12159   \n",
       "15                           Barbados        1.373009      2.388189   \n",
       "19                            Bolivia      501.880976    867.518866   \n",
       "22                             Brazil     7214.950546  12502.355248   \n",
       "39                              Chile      553.607381    962.774817   \n",
       "42                           Colombia      980.397619    1705.80227   \n",
       "48                         Costa Rica       25.427825     44.294595   \n",
       "55                           Dominica        0.013056      0.020572   \n",
       "57                            Ecuador       94.931408    164.536307   \n",
       "64                   Falkland Islands         0.00085      0.001453   \n",
       "69                      French Guiana        3.302637      5.740174   \n",
       "82                            Grenada        0.328099      0.570606   \n",
       "87                             Guyana       12.094987     21.030448   \n",
       "90                           Honduras        0.922551      1.592305   \n",
       "127                        Martinique         0.84105      1.462087   \n",
       "143                           Curacao        0.369153      0.641614   \n",
       "144                             Aruba        0.209503      0.364298   \n",
       "146                           Bonaire        0.041482        0.0721   \n",
       "150                         Nicaragua        8.588479     14.937738   \n",
       "161                            Panama       14.986192     26.071437   \n",
       "163                          Paraguay      368.298129    638.483636   \n",
       "164                              Peru      225.315038    390.576704   \n",
       "181                       Saint Lucia        0.431176      0.749493   \n",
       "184  Saint Vincent and the Grenadines         0.31246      0.543179   \n",
       "203                          Suriname        5.989787     10.415078   \n",
       "214               Trinidad and Tobago       10.381555     18.071189   \n",
       "233                           Uruguay       41.505648     71.973276   \n",
       "235                         Venezuela      516.786116     899.55857   \n",
       "\n",
       "       perc_97.5 mean_mort_TIs perc_2.5_TIs perc_97.5_TIs  \n",
       "8     237.706789          -0.0         -0.0          -0.0  \n",
       "15      0.349078          -0.0         -0.0          -0.0  \n",
       "19    134.629062     39.383871     67.96347     10.441868  \n",
       "22   1851.484725     32.345821    55.657053      8.542857  \n",
       "39    138.517452          -0.0         -0.0          -0.0  \n",
       "42     246.35322     11.124133    19.272587      2.894282  \n",
       "48      6.373598          -0.0         -0.0          -0.0  \n",
       "55      0.005632          -0.0         -0.0          -0.0  \n",
       "57     24.868802      4.936003     8.581244      1.347831  \n",
       "64      0.000244          -0.0         -0.0          -0.0  \n",
       "69      0.843386      0.125926     0.218814      0.032229  \n",
       "82      0.083545          -0.0         -0.0          -0.0  \n",
       "87      3.068309      0.537318     0.932886      0.138732  \n",
       "90      0.260615          -0.0         -0.0          -0.0  \n",
       "127     0.215183          -0.0         -0.0          -0.0  \n",
       "143     0.094635          -0.0         -0.0          -0.0  \n",
       "144     0.053453          -0.0         -0.0          -0.0  \n",
       "146     0.010631          -0.0         -0.0          -0.0  \n",
       "150     2.175941          -0.0         -0.0          -0.0  \n",
       "161     3.798326          -0.0         -0.0          -0.0  \n",
       "163    94.117057          -0.0         -0.0          -0.0  \n",
       "164     59.64701     43.953159    76.189685     11.650737  \n",
       "181     0.110419          -0.0         -0.0          -0.0  \n",
       "184     0.079938          -0.0         -0.0          -0.0  \n",
       "203     1.523044      0.000414     0.000717      0.000109  \n",
       "214      2.61476          -0.0         -0.0          -0.0  \n",
       "233    10.833567          -0.0         -0.0          -0.0  \n",
       "235   129.474597      9.450611     16.40771      2.427173  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_mort_2014 = country_mort(q2014,q2014_TIs)\n",
    "country_mort_2014"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b1673084",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "141.857254790729"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_mort_2014['mean_mort_TIs'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96a82c22",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b91d33d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ERF Chen and Hoek non-accidental             due to no_fires       :      -262 morts due to a change of     -6913544 person-chi over      5799584 people (pop-exp: -1.192, base inc:     29 x1,000)\n",
      "ERF Hoek meta-analysis cardiovascular        due to no_fires       :       -94 morts due to a change of     -6913544 person-chi over      5799584 people (pop-exp: -1.192, base inc:      8 x1,000)\n",
      "ERF EPA 2011 all-cause                       due to no_fires       :      -364 morts due to a change of     -6913544 person-chi over      5799584 people (pop-exp: -1.192, base inc:     28 x1,000)\n",
      "ERF Krewski ACS 2009 all-cause               due to no_fires       :      -200 morts due to a change of     -6913544 person-chi over      5799584 people (pop-exp: -1.192, base inc:     28 x1,000)\n",
      "ERF Vodonos 2018 all-cause                   due to no_fires       :      -226 morts due to a change of     -6913544 person-chi over      5799584 people (pop-exp: -1.192, base inc:     30 x1,000)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "scen_name = 'no_fires'\n",
    "exp_factor='PM2.5'\n",
    "ERF_names=['Chen and Hoek non-accidental','Hoek meta-analysis cardiovascular','EPA 2011 all-cause','Krewski ACS 2009 all-cause',\n",
    "          'Vodonos 2018 all-cause']\n",
    "\n",
    "for erf in ERF_names:\n",
    "    d_exp = np.nansum(q2014_2019_TIs['PM25'][erf][scen_name]['delta_exp'])\n",
    "    aff_pop = np.nansum(q2014_2019_TIs['PM25'][erf]['affected_pop'])\n",
    "    base_inc = np.nansum(q2014_2019_TIs['PM25'][erf]['base_morts'])\n",
    "    print('ERF {:40s} due to {:15s}: {:9.0f} morts due to a change of {:12.0f} person-chi over {:12.0f} people (pop-exp: {:6.3f}, base inc: {:6.0f} x1,000)'.format(\n",
    "        erf,scen_name,\n",
    "        np.nansum(np.nanmean(q2014_2019_TIs['PM25'][erf][scen_name]['morts_vs_ref'],axis=-1)),\n",
    "        d_exp,aff_pop,d_exp/aff_pop,base_inc/1000.0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7b381d68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-141.85725479072897"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mort_full = q2014_TIs['PM25']['Vodonos 2018 all-cause']['no_fires']['morts_vs_ref']\n",
    "np.nansum(np.nanmean(mort_full,axis=-1))\n",
    "#np.percentile(mort_full,[2.5,97.5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b99812e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ERF Chen and Hoek non-accidental             due to no_fires       :    -13386 morts due to a change of   -332717280 person-chi over   7349309632 people (pop-exp: -0.045, base inc:  51243 x1,000)\n",
      "ERF Hoek meta-analysis cardiovascular        due to no_fires       :     -5601 morts due to a change of   -332717280 person-chi over   7349309632 people (pop-exp: -0.045, base inc:  17430 x1,000)\n",
      "ERF EPA 2011 all-cause                       due to no_fires       :    -19536 morts due to a change of   -332717280 person-chi over   7349309632 people (pop-exp: -0.045, base inc:  46931 x1,000)\n",
      "ERF Krewski ACS 2009 all-cause               due to no_fires       :    -10717 morts due to a change of   -332717280 person-chi over   7349309632 people (pop-exp: -0.045, base inc:  46931 x1,000)\n",
      "ERF Vodonos 2018 all-cause                   due to no_fires       :    -11983 morts due to a change of   -332717280 person-chi over   7349309632 people (pop-exp: -0.045, base inc:  49521 x1,000)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "scen_name = 'no_fires'\n",
    "exp_factor='PM2.5'\n",
    "ERF_names=['Chen and Hoek non-accidental','Hoek meta-analysis cardiovascular','EPA 2011 all-cause','Krewski ACS 2009 all-cause',\n",
    "          'Vodonos 2018 all-cause']\n",
    "\n",
    "for erf in ERF_names:\n",
    "    d_exp = np.nansum(q2014_2019['PM25'][erf][scen_name]['delta_exp'])\n",
    "    aff_pop = np.nansum(q2014_2019['PM25'][erf]['affected_pop'])\n",
    "    base_inc = np.nansum(q2014_2019['PM25'][erf]['base_morts'])\n",
    "    print('ERF {:40s} due to {:15s}: {:9.0f} morts due to a change of {:12.0f} person-chi over {:12.0f} people (pop-exp: {:6.3f}, base inc: {:6.0f} x1,000)'.format(\n",
    "        erf,scen_name,\n",
    "        np.nansum(np.nanmean(q2014_2019['PM25'][erf][scen_name]['morts_vs_ref'],axis=-1)),\n",
    "        d_exp,aff_pop,d_exp/aff_pop,base_inc/1000.0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f45611bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#fuction to get the total mortalities saved due to not having smoke PM2.5 from all the functions\n",
    "#input: pickle output, ind_output\n",
    "#output: mortality_PM25\n",
    "\n",
    "def mort_pm25(erf,q, scen_name ):\n",
    "    #scen_name = 'no_fires'\n",
    "    #total mortality due to fires PM25\n",
    "    PM25_mort=np.nansum(np.nanmean(q['PM25'][erf][scen_name]['morts_vs_ref'],axis=-1))\n",
    "    \n",
    "    d_exp = np.nansum(q['PM25'][erf][scen_name]['delta_exp'])\n",
    "    #affected population\n",
    "    aff_pop = np.nansum(q['PM25'][erf]['affected_pop'])\n",
    "    #base mortality \n",
    "    base_inc = np.nansum(q['PM25'][erf]['base_morts'])\n",
    "    \n",
    "    return PM25_mort, base_inc\n",
    "\n",
    "def mort_pm25_fires_only(erf,q ):\n",
    "    scen_name = 'fires_only'\n",
    "    #total mortality due to fires PM25\n",
    "    PM25_mort=np.nansum(np.nanmean(q['PM25'][erf][scen_name]['morts_vs_ref'],axis=-1))\n",
    "    \n",
    "    d_exp = np.nansum(q['PM25'][erf][scen_name]['delta_exp'])\n",
    "    #affected population\n",
    "    aff_pop = np.nansum(q['PM25'][erf]['affected_pop'])\n",
    "    #base mortality \n",
    "    base_inc = np.nansum(q['PM25'][erf]['base_morts'])\n",
    "    \n",
    "    return PM25_mort, base_inc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "776e1ed9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef961bd0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2c99cbfb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>Chen_Hoek_total</th>\n",
       "      <th>Hoek_meta_car_total</th>\n",
       "      <th>EPA_total</th>\n",
       "      <th>Krewski_ACS_total</th>\n",
       "      <th>Vodonos_total</th>\n",
       "      <th>Chen_Hoek_TIs</th>\n",
       "      <th>Hoek_meta_car_TIs</th>\n",
       "      <th>EPA_TIs</th>\n",
       "      <th>Krewski_ACS_TIs</th>\n",
       "      <th>Vodonos_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>-12785.687999</td>\n",
       "      <td>-5405.091135</td>\n",
       "      <td>-18745.077134</td>\n",
       "      <td>-10280.663209</td>\n",
       "      <td>-11489.713566</td>\n",
       "      <td>-162.514771</td>\n",
       "      <td>-60.220780</td>\n",
       "      <td>-227.806946</td>\n",
       "      <td>-125.111620</td>\n",
       "      <td>-141.857255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>-13817.582442</td>\n",
       "      <td>-5790.920429</td>\n",
       "      <td>-20205.837699</td>\n",
       "      <td>-11095.511551</td>\n",
       "      <td>-12398.321084</td>\n",
       "      <td>-241.278729</td>\n",
       "      <td>-87.548161</td>\n",
       "      <td>-335.996285</td>\n",
       "      <td>-185.097131</td>\n",
       "      <td>-208.824154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>-15549.226417</td>\n",
       "      <td>-6551.610919</td>\n",
       "      <td>-22607.602676</td>\n",
       "      <td>-12415.049306</td>\n",
       "      <td>-13949.850264</td>\n",
       "      <td>-355.496184</td>\n",
       "      <td>-127.455820</td>\n",
       "      <td>-492.672221</td>\n",
       "      <td>-272.032883</td>\n",
       "      <td>-306.931123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>-14355.440278</td>\n",
       "      <td>-5882.631876</td>\n",
       "      <td>-20944.362691</td>\n",
       "      <td>-11534.195443</td>\n",
       "      <td>-12752.126119</td>\n",
       "      <td>-261.999338</td>\n",
       "      <td>-93.663744</td>\n",
       "      <td>-364.279245</td>\n",
       "      <td>-200.643881</td>\n",
       "      <td>-226.422673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>-9132.324190</td>\n",
       "      <td>-3837.866692</td>\n",
       "      <td>-13315.817022</td>\n",
       "      <td>-7292.105854</td>\n",
       "      <td>-8185.936406</td>\n",
       "      <td>-188.674641</td>\n",
       "      <td>-68.632722</td>\n",
       "      <td>-262.237921</td>\n",
       "      <td>-144.009395</td>\n",
       "      <td>-163.537112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>-14563.267289</td>\n",
       "      <td>-6071.828966</td>\n",
       "      <td>-21136.130939</td>\n",
       "      <td>-11609.979692</td>\n",
       "      <td>-13019.382826</td>\n",
       "      <td>-357.737288</td>\n",
       "      <td>-127.141492</td>\n",
       "      <td>-495.633166</td>\n",
       "      <td>-273.567318</td>\n",
       "      <td>-308.767449</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  Chen_Hoek_total  Hoek_meta_car_total     EPA_total  \\\n",
       "0  2014    -12785.687999         -5405.091135 -18745.077134   \n",
       "1  2015    -13817.582442         -5790.920429 -20205.837699   \n",
       "2  2016    -15549.226417         -6551.610919 -22607.602676   \n",
       "3  2017    -14355.440278         -5882.631876 -20944.362691   \n",
       "4  2018     -9132.324190         -3837.866692 -13315.817022   \n",
       "5  2019    -14563.267289         -6071.828966 -21136.130939   \n",
       "\n",
       "   Krewski_ACS_total  Vodonos_total  Chen_Hoek_TIs  Hoek_meta_car_TIs  \\\n",
       "0      -10280.663209  -11489.713566    -162.514771         -60.220780   \n",
       "1      -11095.511551  -12398.321084    -241.278729         -87.548161   \n",
       "2      -12415.049306  -13949.850264    -355.496184        -127.455820   \n",
       "3      -11534.195443  -12752.126119    -261.999338         -93.663744   \n",
       "4       -7292.105854   -8185.936406    -188.674641         -68.632722   \n",
       "5      -11609.979692  -13019.382826    -357.737288        -127.141492   \n",
       "\n",
       "      EPA_TIs  Krewski_ACS_TIs  Vodonos_TIs  \n",
       "0 -227.806946      -125.111620  -141.857255  \n",
       "1 -335.996285      -185.097131  -208.824154  \n",
       "2 -492.672221      -272.032883  -306.931123  \n",
       "3 -364.279245      -200.643881  -226.422673  \n",
       "4 -262.237921      -144.009395  -163.537112  \n",
       "5 -495.633166      -273.567318  -308.767449  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scen_name = 'fires'\n",
    "exp_factor='PM2.5'\n",
    "ERF_names=['Chen and Hoek non-accidental','Hoek meta-analysis cardiovascular','EPA 2011 all-cause','Krewski ACS 2009 all-cause',\n",
    "          'Vodonos 2018 all-cause']\n",
    "\n",
    "SA_mortality_nofires=pd.DataFrame()\n",
    "SA_mortality_nofires['year'] = [2014,2015,2016,2017,2018,2019]\n",
    "SA_mortality_nofires['Chen_Hoek_total']=[mort_pm25(ERF_names[0],q2014,'no_fires')[0],mort_pm25(ERF_names[0],q2015,'no_fires')[0],mort_pm25(ERF_names[0],q2016,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[0],q2017,'no_fires')[0],mort_pm25(ERF_names[0],q2018,'no_fires')[0],mort_pm25(ERF_names[0],q2019,'no_fires')[0]]\n",
    "SA_mortality_nofires['Hoek_meta_car_total']=[mort_pm25(ERF_names[1],q2014,'no_fires')[0],mort_pm25(ERF_names[1],q2015,'no_fires')[0],mort_pm25(ERF_names[1],q2016,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[1],q2017,'no_fires')[0],mort_pm25(ERF_names[1],q2018,'no_fires')[0],mort_pm25(ERF_names[1],q2019,'no_fires')[0]]\n",
    "SA_mortality_nofires['EPA_total']=[mort_pm25(ERF_names[2],q2014,'no_fires')[0],mort_pm25(ERF_names[2],q2015,'no_fires')[0],mort_pm25(ERF_names[2],q2016,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[2],q2017,'no_fires')[0],mort_pm25(ERF_names[2],q2018,'no_fires')[0],mort_pm25(ERF_names[2],q2019,'no_fires')[0]]\n",
    "SA_mortality_nofires['Krewski_ACS_total']=[mort_pm25(ERF_names[3],q2014,'no_fires')[0],mort_pm25(ERF_names[3],q2015,'no_fires')[0],mort_pm25(ERF_names[3],q2016,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[3],q2017,'no_fires')[0],mort_pm25(ERF_names[3],q2018,'no_fires')[0],mort_pm25(ERF_names[3],q2019,'no_fires')[0]]\n",
    "SA_mortality_nofires['Vodonos_total']=[mort_pm25(ERF_names[4],q2014,'no_fires')[0],mort_pm25(ERF_names[4],q2015,'no_fires')[0],mort_pm25(ERF_names[4],q2016,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[4],q2017,'no_fires')[0],mort_pm25(ERF_names[4],q2018,'no_fires')[0],mort_pm25(ERF_names[4],q2019,'no_fires')[0]]\n",
    "\n",
    "SA_mortality_nofires['Chen_Hoek_TIs']=[mort_pm25(ERF_names[0],q2014_TIs,'no_fires')[0],mort_pm25(ERF_names[0],q2015_TIs,'no_fires')[0],mort_pm25(ERF_names[0],q2016_TIs,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[0],q2017_TIs,'no_fires')[0],mort_pm25(ERF_names[0],q2018_TIs,'no_fires')[0],mort_pm25(ERF_names[0],q2019_TIs,'no_fires')[0]]\n",
    "SA_mortality_nofires['Hoek_meta_car_TIs']=[mort_pm25(ERF_names[1],q2014_TIs,'no_fires')[0],mort_pm25(ERF_names[1],q2015_TIs,'no_fires')[0],mort_pm25(ERF_names[1],q2016_TIs,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[1],q2017_TIs,'no_fires')[0],mort_pm25(ERF_names[1],q2018_TIs,'no_fires')[0],mort_pm25(ERF_names[1],q2019_TIs,'no_fires')[0]]\n",
    "SA_mortality_nofires['EPA_TIs']=[mort_pm25(ERF_names[2],q2014_TIs,'no_fires')[0],mort_pm25(ERF_names[2],q2015_TIs,'no_fires')[0],mort_pm25(ERF_names[2],q2016_TIs,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[2],q2017_TIs,'no_fires')[0],mort_pm25(ERF_names[2],q2018_TIs,'no_fires')[0],mort_pm25(ERF_names[2],q2019_TIs,'no_fires')[0]]\n",
    "SA_mortality_nofires['Krewski_ACS_TIs']=[mort_pm25(ERF_names[3],q2014_TIs,'no_fires')[0],mort_pm25(ERF_names[3],q2015_TIs,'no_fires')[0],mort_pm25(ERF_names[3],q2016_TIs,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[3],q2017_TIs,'no_fires')[0],mort_pm25(ERF_names[3],q2018_TIs,'no_fires')[0],mort_pm25(ERF_names[3],q2019_TIs,'no_fires')[0]]\n",
    "SA_mortality_nofires['Vodonos_TIs']=[mort_pm25(ERF_names[4],q2014_TIs,'no_fires')[0],mort_pm25(ERF_names[4],q2015_TIs,'no_fires')[0],mort_pm25(ERF_names[4],q2016_TIs,'no_fires')[0],\n",
    "                                mort_pm25(ERF_names[4],q2017_TIs,'no_fires')[0],mort_pm25(ERF_names[4],q2018_TIs,'no_fires')[0],mort_pm25(ERF_names[4],q2019_TIs,'no_fires')[0]]\n",
    "\n",
    "SA_mortality_fires_only=pd.DataFrame()\n",
    "SA_mortality_fires_only['year'] = [2014,2015,2016,2017,2018,2019]\n",
    "SA_mortality_fires_only['Chen_Hoek_total']=[mort_pm25(ERF_names[0],q2014,'fires_only')[0],mort_pm25(ERF_names[0],q2015,'fires_only')[0],mort_pm25(ERF_names[0],q2016,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[0],q2017,'fires_only')[0],mort_pm25(ERF_names[0],q2018,'fires_only')[0],mort_pm25(ERF_names[0],q2019,'fires_only')[0]]\n",
    "SA_mortality_fires_only['Hoek_meta_car_total']=[mort_pm25(ERF_names[1],q2014,'fires_only')[0],mort_pm25(ERF_names[1],q2015,'fires_only')[0],mort_pm25(ERF_names[1],q2016,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[1],q2017,'fires_only')[0],mort_pm25(ERF_names[1],q2018,'fires_only')[0],mort_pm25(ERF_names[1],q2019,'fires_only')[0]]\n",
    "SA_mortality_fires_only['EPA_total']=[mort_pm25(ERF_names[2],q2014,'fires_only')[0],mort_pm25(ERF_names[2],q2015,'fires_only')[0],mort_pm25(ERF_names[2],q2016,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[2],q2017,'fires_only')[0],mort_pm25(ERF_names[2],q2018,'fires_only')[0],mort_pm25(ERF_names[2],q2019,'fires_only')[0]]\n",
    "SA_mortality_fires_only['Krewski_ACS_total']=[mort_pm25(ERF_names[3],q2014,'fires_only')[0],mort_pm25(ERF_names[3],q2015,'fires_only')[0],mort_pm25(ERF_names[3],q2016,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[3],q2017,'fires_only')[0],mort_pm25(ERF_names[3],q2018,'fires_only')[0],mort_pm25(ERF_names[3],q2019,'fires_only')[0]]\n",
    "SA_mortality_fires_only['Vodonos_total']=[mort_pm25(ERF_names[4],q2014,'fires_only')[0],mort_pm25(ERF_names[4],q2015,'fires_only')[0],mort_pm25(ERF_names[4],q2016,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[4],q2017,'fires_only')[0],mort_pm25(ERF_names[4],q2018,'fires_only')[0],mort_pm25(ERF_names[4],q2019,'fires_only')[0]]\n",
    "\n",
    "SA_mortality_fires_only['Chen_Hoek_TIs']=[mort_pm25(ERF_names[0],q2014_TIs,'fires_only')[0],mort_pm25(ERF_names[0],q2015_TIs,'fires_only')[0],mort_pm25(ERF_names[0],q2016_TIs,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[0],q2017_TIs,'fires_only')[0],mort_pm25(ERF_names[0],q2018_TIs,'fires_only')[0],mort_pm25(ERF_names[0],q2019_TIs,'fires_only')[0]]\n",
    "SA_mortality_fires_only['Hoek_meta_car_TIs']=[mort_pm25(ERF_names[1],q2014_TIs,'fires_only')[0],mort_pm25(ERF_names[1],q2015_TIs,'fires_only')[0],mort_pm25(ERF_names[1],q2016_TIs,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[1],q2017_TIs,'fires_only')[0],mort_pm25(ERF_names[1],q2018_TIs,'fires_only')[0],mort_pm25(ERF_names[1],q2019_TIs,'fires_only')[0]]\n",
    "SA_mortality_fires_only['EPA_TIs']=[mort_pm25(ERF_names[2],q2014_TIs,'fires_only')[0],mort_pm25(ERF_names[2],q2015_TIs,'fires_only')[0],mort_pm25(ERF_names[2],q2016_TIs,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[2],q2017_TIs,'fires_only')[0],mort_pm25(ERF_names[2],q2018_TIs,'fires_only')[0],mort_pm25(ERF_names[2],q2019_TIs,'fires_only')[0]]\n",
    "SA_mortality_fires_only['Krewski_ACS_TIs']=[mort_pm25(ERF_names[3],q2014_TIs,'fires_only')[0],mort_pm25(ERF_names[3],q2015_TIs,'fires_only')[0],mort_pm25(ERF_names[3],q2016_TIs,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[3],q2017_TIs,'fires_only')[0],mort_pm25(ERF_names[3],q2018_TIs,'fires_only')[0],mort_pm25(ERF_names[3],q2019_TIs,'fires_only')[0]]\n",
    "SA_mortality_fires_only['Vodonos_TIs']=[mort_pm25(ERF_names[4],q2014_TIs,'fires_only')[0],mort_pm25(ERF_names[4],q2015_TIs,'fires_only')[0],mort_pm25(ERF_names[4],q2016_TIs,'fires_only')[0],\n",
    "                                mort_pm25(ERF_names[4],q2017_TIs,'fires_only')[0],mort_pm25(ERF_names[4],q2018_TIs,'fires_only')[0],mort_pm25(ERF_names[4],q2019_TIs,'fires_only')[0]]\n",
    "\n",
    "\n",
    "SA_mortality_nofires\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f151acd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-226.05662747563005"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "np.mean(SA_mortality_nofires['Vodonos_TIs'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f60d9de1",
   "metadata": {},
   "outputs": [],
   "source": [
    "SA_mortality_PM25_0=pd.DataFrame()\n",
    "SA_mortality_PM25_0['year'] = [2014,2015,2016,2017,2018,2019]\n",
    "SA_mortality_PM25_0['Chen_Hoek_total']=[mort_pm25(ERF_names[0],q2014,'pm25_0')[0],mort_pm25(ERF_names[0],q2015,'pm25_0')[0],mort_pm25(ERF_names[0],q2016,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[0],q2017,'pm25_0')[0],mort_pm25(ERF_names[0],q2018,'pm25_0')[0],mort_pm25(ERF_names[0],q2019,'pm25_0')[0]]\n",
    "SA_mortality_PM25_0['Hoek_meta_car_total']=[mort_pm25(ERF_names[1],q2014,'pm25_0')[0],mort_pm25(ERF_names[1],q2015,'pm25_0')[0],mort_pm25(ERF_names[1],q2016,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[1],q2017,'pm25_0')[0],mort_pm25(ERF_names[1],q2018,'pm25_0')[0],mort_pm25(ERF_names[1],q2019,'pm25_0')[0]]\n",
    "SA_mortality_PM25_0['EPA_total']=[mort_pm25(ERF_names[2],q2014,'pm25_0')[0],mort_pm25(ERF_names[2],q2015,'pm25_0')[0],mort_pm25(ERF_names[2],q2016,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[2],q2017,'pm25_0')[0],mort_pm25(ERF_names[2],q2018,'pm25_0')[0],mort_pm25(ERF_names[2],q2019,'pm25_0')[0]]\n",
    "SA_mortality_PM25_0['Krewski_ACS_total']=[mort_pm25(ERF_names[3],q2014,'pm25_0')[0],mort_pm25(ERF_names[3],q2015,'pm25_0')[0],mort_pm25(ERF_names[3],q2016,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[3],q2017,'pm25_0')[0],mort_pm25(ERF_names[3],q2018,'pm25_0')[0],mort_pm25(ERF_names[3],q2019,'pm25_0')[0]]\n",
    "SA_mortality_PM25_0['Vodonos_total']=[mort_pm25(ERF_names[4],q2014,'pm25_0')[0],mort_pm25(ERF_names[4],q2015,'pm25_0')[0],mort_pm25(ERF_names[4],q2016,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[4],q2017,'pm25_0')[0],mort_pm25(ERF_names[4],q2018,'pm25_0')[0],mort_pm25(ERF_names[4],q2019,'pm25_0')[0]]\n",
    "\n",
    "SA_mortality_PM25_0['Chen_Hoek_TIs']=[mort_pm25(ERF_names[0],q2014_TIs,'pm25_0')[0],mort_pm25(ERF_names[0],q2015_TIs,'pm25_0')[0],mort_pm25(ERF_names[0],q2016_TIs,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[0],q2017_TIs,'pm25_0')[0],mort_pm25(ERF_names[0],q2018_TIs,'pm25_0')[0],mort_pm25(ERF_names[0],q2019_TIs,'pm25_0')[0]]\n",
    "SA_mortality_PM25_0['Hoek_meta_car_TIs']=[mort_pm25(ERF_names[1],q2014_TIs,'pm25_0')[0],mort_pm25(ERF_names[1],q2015_TIs,'pm25_0')[0],mort_pm25(ERF_names[1],q2016_TIs,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[1],q2017_TIs,'pm25_0')[0],mort_pm25(ERF_names[1],q2018_TIs,'pm25_0')[0],mort_pm25(ERF_names[1],q2019_TIs,'pm25_0')[0]]\n",
    "SA_mortality_PM25_0['EPA_TIs']=[mort_pm25(ERF_names[2],q2014_TIs,'pm25_0')[0],mort_pm25(ERF_names[2],q2015_TIs,'pm25_0')[0],mort_pm25(ERF_names[2],q2016_TIs,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[2],q2017_TIs,'pm25_0')[0],mort_pm25(ERF_names[2],q2018_TIs,'pm25_0')[0],mort_pm25(ERF_names[2],q2019_TIs,'pm25_0')[0]]\n",
    "SA_mortality_PM25_0['Krewski_ACS_TIs']=[mort_pm25(ERF_names[3],q2014_TIs,'pm25_0')[0],mort_pm25(ERF_names[3],q2015_TIs,'pm25_0')[0],mort_pm25(ERF_names[3],q2016_TIs,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[3],q2017_TIs,'pm25_0')[0],mort_pm25(ERF_names[3],q2018_TIs,'pm25_0')[0],mort_pm25(ERF_names[3],q2019_TIs,'pm25_0')[0]]\n",
    "SA_mortality_PM25_0['Vodonos_TIs']=[mort_pm25(ERF_names[4],q2014_TIs,'pm25_0')[0],mort_pm25(ERF_names[4],q2015_TIs,'pm25_0')[0],mort_pm25(ERF_names[4],q2016_TIs,'pm25_0')[0],\n",
    "                                mort_pm25(ERF_names[4],q2017_TIs,'pm25_0')[0],mort_pm25(ERF_names[4],q2018_TIs,'pm25_0')[0],mort_pm25(ERF_names[4],q2019_TIs,'pm25_0')[0]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0ac2b3a3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b53462fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>Chen_Hoek_total</th>\n",
       "      <th>Hoek_meta_car_total</th>\n",
       "      <th>EPA_total</th>\n",
       "      <th>Krewski_ACS_total</th>\n",
       "      <th>Vodonos_total</th>\n",
       "      <th>Chen_Hoek_TIs</th>\n",
       "      <th>Hoek_meta_car_TIs</th>\n",
       "      <th>EPA_TIs</th>\n",
       "      <th>Krewski_ACS_TIs</th>\n",
       "      <th>Vodonos_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.006457</td>\n",
       "      <td>0.009213</td>\n",
       "      <td>0.010185</td>\n",
       "      <td>0.005265</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.004714</td>\n",
       "      <td>0.006973</td>\n",
       "      <td>0.007454</td>\n",
       "      <td>0.003762</td>\n",
       "      <td>-inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.005606</td>\n",
       "      <td>0.008000</td>\n",
       "      <td>0.008903</td>\n",
       "      <td>0.004544</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.007025</td>\n",
       "      <td>0.010127</td>\n",
       "      <td>0.011014</td>\n",
       "      <td>0.005576</td>\n",
       "      <td>-inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.006090</td>\n",
       "      <td>0.008807</td>\n",
       "      <td>0.009684</td>\n",
       "      <td>0.004917</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.009503</td>\n",
       "      <td>0.013691</td>\n",
       "      <td>0.014944</td>\n",
       "      <td>0.007567</td>\n",
       "      <td>-inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.006429</td>\n",
       "      <td>0.008980</td>\n",
       "      <td>0.010242</td>\n",
       "      <td>0.005214</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.007087</td>\n",
       "      <td>0.010138</td>\n",
       "      <td>0.011148</td>\n",
       "      <td>0.005634</td>\n",
       "      <td>-inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.005201</td>\n",
       "      <td>0.005741</td>\n",
       "      <td>0.002916</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.005407</td>\n",
       "      <td>0.007925</td>\n",
       "      <td>0.008497</td>\n",
       "      <td>0.004288</td>\n",
       "      <td>-inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.005305</td>\n",
       "      <td>0.007624</td>\n",
       "      <td>0.008447</td>\n",
       "      <td>0.004275</td>\n",
       "      <td>-inf</td>\n",
       "      <td>0.009464</td>\n",
       "      <td>0.013531</td>\n",
       "      <td>0.014878</td>\n",
       "      <td>0.007531</td>\n",
       "      <td>-inf</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  Chen_Hoek_total  Hoek_meta_car_total  EPA_total  Krewski_ACS_total  \\\n",
       "0   1.0         0.006457             0.009213   0.010185           0.005265   \n",
       "1   1.0         0.005606             0.008000   0.008903           0.004544   \n",
       "2   1.0         0.006090             0.008807   0.009684           0.004917   \n",
       "3   1.0         0.006429             0.008980   0.010242           0.005214   \n",
       "4   1.0         0.003611             0.005201   0.005741           0.002916   \n",
       "5   1.0         0.005305             0.007624   0.008447           0.004275   \n",
       "\n",
       "   Vodonos_total  Chen_Hoek_TIs  Hoek_meta_car_TIs   EPA_TIs  Krewski_ACS_TIs  \\\n",
       "0           -inf       0.004714           0.006973  0.007454         0.003762   \n",
       "1           -inf       0.007025           0.010127  0.011014         0.005576   \n",
       "2           -inf       0.009503           0.013691  0.014944         0.007567   \n",
       "3           -inf       0.007087           0.010138  0.011148         0.005634   \n",
       "4           -inf       0.005407           0.007925  0.008497         0.004288   \n",
       "5           -inf       0.009464           0.013531  0.014878         0.007531   \n",
       "\n",
       "   Vodonos_TIs  \n",
       "0         -inf  \n",
       "1         -inf  \n",
       "2         -inf  \n",
       "3         -inf  \n",
       "4         -inf  \n",
       "5         -inf  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## percent diff between total mortalities calculated by me vs pm25_0 scenario\n",
    "((SA_mortality_nofires+SA_mortality_fires_only)-SA_mortality_PM25_0)/SA_mortality_PM25_0 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "099fb8fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>Chen_Hoek_total</th>\n",
       "      <th>Hoek_meta_car_total</th>\n",
       "      <th>EPA_total</th>\n",
       "      <th>Krewski_ACS_total</th>\n",
       "      <th>Vodonos_total</th>\n",
       "      <th>Chen_Hoek_TIs</th>\n",
       "      <th>Hoek_meta_car_TIs</th>\n",
       "      <th>EPA_TIs</th>\n",
       "      <th>Krewski_ACS_TIs</th>\n",
       "      <th>Vodonos_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>0.072857</td>\n",
       "      <td>0.074347</td>\n",
       "      <td>0.074702</td>\n",
       "      <td>0.071873</td>\n",
       "      <td>0.065637</td>\n",
       "      <td>0.116336</td>\n",
       "      <td>0.120387</td>\n",
       "      <td>0.115329</td>\n",
       "      <td>0.114094</td>\n",
       "      <td>0.102722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>0.073968</td>\n",
       "      <td>0.074959</td>\n",
       "      <td>0.075961</td>\n",
       "      <td>0.072765</td>\n",
       "      <td>0.068037</td>\n",
       "      <td>0.152264</td>\n",
       "      <td>0.153365</td>\n",
       "      <td>0.150348</td>\n",
       "      <td>0.148968</td>\n",
       "      <td>0.138608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>0.082347</td>\n",
       "      <td>0.084015</td>\n",
       "      <td>0.084055</td>\n",
       "      <td>0.080592</td>\n",
       "      <td>0.076790</td>\n",
       "      <td>0.208723</td>\n",
       "      <td>0.209844</td>\n",
       "      <td>0.205411</td>\n",
       "      <td>0.204053</td>\n",
       "      <td>0.197539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>0.077721</td>\n",
       "      <td>0.077273</td>\n",
       "      <td>0.079575</td>\n",
       "      <td>0.076520</td>\n",
       "      <td>0.069982</td>\n",
       "      <td>0.169983</td>\n",
       "      <td>0.170939</td>\n",
       "      <td>0.167553</td>\n",
       "      <td>0.166184</td>\n",
       "      <td>0.154805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>0.051360</td>\n",
       "      <td>0.052339</td>\n",
       "      <td>0.052551</td>\n",
       "      <td>0.050249</td>\n",
       "      <td>0.046077</td>\n",
       "      <td>0.132906</td>\n",
       "      <td>0.136635</td>\n",
       "      <td>0.130848</td>\n",
       "      <td>0.129472</td>\n",
       "      <td>0.118023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>0.080281</td>\n",
       "      <td>0.081061</td>\n",
       "      <td>0.081678</td>\n",
       "      <td>0.078518</td>\n",
       "      <td>0.074119</td>\n",
       "      <td>0.221133</td>\n",
       "      <td>0.220787</td>\n",
       "      <td>0.217510</td>\n",
       "      <td>0.216253</td>\n",
       "      <td>0.208108</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  Chen_Hoek_total  Hoek_meta_car_total  EPA_total  Krewski_ACS_total  \\\n",
       "0  2014         0.072857             0.074347   0.074702           0.071873   \n",
       "1  2015         0.073968             0.074959   0.075961           0.072765   \n",
       "2  2016         0.082347             0.084015   0.084055           0.080592   \n",
       "3  2017         0.077721             0.077273   0.079575           0.076520   \n",
       "4  2018         0.051360             0.052339   0.052551           0.050249   \n",
       "5  2019         0.080281             0.081061   0.081678           0.078518   \n",
       "\n",
       "   Vodonos_total  Chen_Hoek_TIs  Hoek_meta_car_TIs   EPA_TIs  Krewski_ACS_TIs  \\\n",
       "0       0.065637       0.116336           0.120387  0.115329         0.114094   \n",
       "1       0.068037       0.152264           0.153365  0.150348         0.148968   \n",
       "2       0.076790       0.208723           0.209844  0.205411         0.204053   \n",
       "3       0.069982       0.169983           0.170939  0.167553         0.166184   \n",
       "4       0.046077       0.132906           0.136635  0.130848         0.129472   \n",
       "5       0.074119       0.221133           0.220787  0.217510         0.216253   \n",
       "\n",
       "   Vodonos_TIs  \n",
       "0     0.102722  \n",
       "1     0.138608  \n",
       "2     0.197539  \n",
       "3     0.154805  \n",
       "4     0.118023  \n",
       "5     0.208108  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#smoke percent deaths due to PM2.5 exposure\n",
    "smoke_perc_deaths=pd.DataFrame()\n",
    "smoke_perc_deaths['year'] = [2014,2015,2016,2017,2018,2019]\n",
    "smoke_perc_deaths['Chen_Hoek_total']=SA_mortality_nofires['Chen_Hoek_total']/(SA_mortality_nofires['Chen_Hoek_total']+SA_mortality_fires_only['Chen_Hoek_total'])\n",
    "smoke_perc_deaths['Hoek_meta_car_total']=SA_mortality_nofires['Hoek_meta_car_total']/(SA_mortality_nofires['Hoek_meta_car_total']+SA_mortality_fires_only['Hoek_meta_car_total'])\n",
    "smoke_perc_deaths['EPA_total']=SA_mortality_nofires['EPA_total']/(SA_mortality_nofires['EPA_total']+SA_mortality_fires_only['EPA_total'])\n",
    "smoke_perc_deaths['Krewski_ACS_total']=SA_mortality_nofires['Krewski_ACS_total']/(SA_mortality_nofires['Krewski_ACS_total']+SA_mortality_fires_only['Krewski_ACS_total'])\n",
    "smoke_perc_deaths['Vodonos_total']=SA_mortality_nofires['Vodonos_total']/(SA_mortality_nofires['Vodonos_total']+SA_mortality_fires_only['Vodonos_total'])\n",
    "\n",
    "\n",
    "smoke_perc_deaths['Chen_Hoek_TIs']=SA_mortality_nofires['Chen_Hoek_TIs']/(SA_mortality_nofires['Chen_Hoek_TIs']+SA_mortality_fires_only['Chen_Hoek_TIs'])\n",
    "smoke_perc_deaths['Hoek_meta_car_TIs']=SA_mortality_nofires['Hoek_meta_car_TIs']/(SA_mortality_nofires['Hoek_meta_car_TIs']+SA_mortality_fires_only['Hoek_meta_car_TIs'])\n",
    "smoke_perc_deaths['EPA_TIs']=SA_mortality_nofires['EPA_TIs']/(SA_mortality_nofires['EPA_TIs']+SA_mortality_fires_only['EPA_TIs'])\n",
    "smoke_perc_deaths['Krewski_ACS_TIs']=SA_mortality_nofires['Krewski_ACS_TIs']/(SA_mortality_nofires['Krewski_ACS_TIs']+SA_mortality_fires_only['Krewski_ACS_TIs'])\n",
    "smoke_perc_deaths['Vodonos_TIs']=SA_mortality_nofires['Vodonos_TIs']/(SA_mortality_nofires['Vodonos_TIs']+SA_mortality_fires_only['Vodonos_TIs'])\n",
    "\n",
    "smoke_perc_deaths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0eb9a68b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>mean_nofires</th>\n",
       "      <th>per2.5_nofires</th>\n",
       "      <th>per97.5_nofires</th>\n",
       "      <th>mean_nofires_TIs</th>\n",
       "      <th>per2.5_nofires_TIs</th>\n",
       "      <th>per97.5_nofires_TIs</th>\n",
       "      <th>mean_fires_only</th>\n",
       "      <th>per2.5_fires_only</th>\n",
       "      <th>per97.5_fires_only</th>\n",
       "      <th>mean_fires_only_TIs</th>\n",
       "      <th>per2.5_fires_only_TIs</th>\n",
       "      <th>per97.5_fires_only_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>11489.713566</td>\n",
       "      <td>19921.667839</td>\n",
       "      <td>2949.293020</td>\n",
       "      <td>141.857255</td>\n",
       "      <td>245.224167</td>\n",
       "      <td>37.475820</td>\n",
       "      <td>163559.276419</td>\n",
       "      <td>271092.896533</td>\n",
       "      <td>51254.864274</td>\n",
       "      <td>1239.124145</td>\n",
       "      <td>2083.697891</td>\n",
       "      <td>392.766618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>12398.321084</td>\n",
       "      <td>21464.143633</td>\n",
       "      <td>3209.142545</td>\n",
       "      <td>208.824154</td>\n",
       "      <td>360.878070</td>\n",
       "      <td>54.094112</td>\n",
       "      <td>169830.723982</td>\n",
       "      <td>282186.639986</td>\n",
       "      <td>52327.815444</td>\n",
       "      <td>1297.756080</td>\n",
       "      <td>2186.249833</td>\n",
       "      <td>396.851767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>13949.850264</td>\n",
       "      <td>24170.034577</td>\n",
       "      <td>3579.231725</td>\n",
       "      <td>306.931123</td>\n",
       "      <td>529.879183</td>\n",
       "      <td>79.294688</td>\n",
       "      <td>167713.566783</td>\n",
       "      <td>277976.579462</td>\n",
       "      <td>51136.778288</td>\n",
       "      <td>1246.842309</td>\n",
       "      <td>2123.132181</td>\n",
       "      <td>359.245678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>12752.126119</td>\n",
       "      <td>22074.154535</td>\n",
       "      <td>3275.368732</td>\n",
       "      <td>226.422673</td>\n",
       "      <td>390.945781</td>\n",
       "      <td>59.247147</td>\n",
       "      <td>169466.740558</td>\n",
       "      <td>279953.738388</td>\n",
       "      <td>53643.180360</td>\n",
       "      <td>1236.204145</td>\n",
       "      <td>2084.993950</td>\n",
       "      <td>372.654695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>8185.936406</td>\n",
       "      <td>14181.390773</td>\n",
       "      <td>2131.596124</td>\n",
       "      <td>163.537112</td>\n",
       "      <td>282.660843</td>\n",
       "      <td>43.157443</td>\n",
       "      <td>169473.033578</td>\n",
       "      <td>280523.622257</td>\n",
       "      <td>53451.331089</td>\n",
       "      <td>1222.102431</td>\n",
       "      <td>2051.577856</td>\n",
       "      <td>390.770132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>13019.382826</td>\n",
       "      <td>22534.886283</td>\n",
       "      <td>3368.676738</td>\n",
       "      <td>308.767449</td>\n",
       "      <td>532.795101</td>\n",
       "      <td>80.451722</td>\n",
       "      <td>162635.887842</td>\n",
       "      <td>269668.036669</td>\n",
       "      <td>49784.791994</td>\n",
       "      <td>1174.921996</td>\n",
       "      <td>1998.563140</td>\n",
       "      <td>343.519339</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  mean_nofires  per2.5_nofires  per97.5_nofires  mean_nofires_TIs  \\\n",
       "0  2014  11489.713566    19921.667839      2949.293020        141.857255   \n",
       "1  2015  12398.321084    21464.143633      3209.142545        208.824154   \n",
       "2  2016  13949.850264    24170.034577      3579.231725        306.931123   \n",
       "3  2017  12752.126119    22074.154535      3275.368732        226.422673   \n",
       "4  2018   8185.936406    14181.390773      2131.596124        163.537112   \n",
       "5  2019  13019.382826    22534.886283      3368.676738        308.767449   \n",
       "\n",
       "   per2.5_nofires_TIs  per97.5_nofires_TIs  mean_fires_only  \\\n",
       "0          245.224167            37.475820    163559.276419   \n",
       "1          360.878070            54.094112    169830.723982   \n",
       "2          529.879183            79.294688    167713.566783   \n",
       "3          390.945781            59.247147    169466.740558   \n",
       "4          282.660843            43.157443    169473.033578   \n",
       "5          532.795101            80.451722    162635.887842   \n",
       "\n",
       "   per2.5_fires_only  per97.5_fires_only  mean_fires_only_TIs  \\\n",
       "0      271092.896533        51254.864274          1239.124145   \n",
       "1      282186.639986        52327.815444          1297.756080   \n",
       "2      277976.579462        51136.778288          1246.842309   \n",
       "3      279953.738388        53643.180360          1236.204145   \n",
       "4      280523.622257        53451.331089          1222.102431   \n",
       "5      269668.036669        49784.791994          1174.921996   \n",
       "\n",
       "   per2.5_fires_only_TIs  per97.5_fires_only_TIs  \n",
       "0            2083.697891              392.766618  \n",
       "1            2186.249833              396.851767  \n",
       "2            2123.132181              359.245678  \n",
       "3            2084.993950              372.654695  \n",
       "4            2051.577856              390.770132  \n",
       "5            1998.563140              343.519339  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###vodonos et al. (2018) dataframe\n",
    "#lives saved if there were nofires, or only emissions from fires\n",
    "vodonos_df=pd.DataFrame()\n",
    "vodonos_df['year'] = [2014,2015,2016,2017,2018,2019]\n",
    "vodonos_df['mean_nofires']=-SA_mortality_nofires['Vodonos_total']\n",
    "vodonos_df['per2.5_nofires']=[country_2014['perc_2.5'].sum(),country_2015['perc_2.5'].sum(),country_2016['perc_2.5'].sum(),\n",
    "                             country_2017['perc_2.5'].sum(),country_2018['perc_2.5'].sum(),country_2019['perc_2.5'].sum()]\n",
    "vodonos_df['per97.5_nofires']=[country_2014['perc_97.5'].sum(),country_2015['perc_97.5'].sum(),country_2016['perc_97.5'].sum(),\n",
    "                             country_2017['perc_97.5'].sum(),country_2018['perc_97.5'].sum(),country_2019['perc_97.5'].sum()]\n",
    "\n",
    "vodonos_df['mean_nofires_TIs']=-SA_mortality_nofires['Vodonos_TIs']\n",
    "vodonos_df['per2.5_nofires_TIs']=[country_2014['perc_2.5_TIs'].sum(),country_2015['perc_2.5_TIs'].sum(),country_2016['perc_2.5_TIs'].sum(),\n",
    "                             country_2017['perc_2.5_TIs'].sum(),country_2018['perc_2.5_TIs'].sum(),country_2019['perc_2.5_TIs'].sum()]\n",
    "vodonos_df['per97.5_nofires_TIs']=[country_2014['perc_97.5_TIs'].sum(),country_2015['perc_97.5_TIs'].sum(),country_2016['perc_97.5_TIs'].sum(),\n",
    "                             country_2017['perc_97.5_TIs'].sum(),country_2018['perc_97.5_TIs'].sum(),country_2019['perc_97.5_TIs'].sum()]\n",
    "\n",
    "\n",
    "vodonos_df['mean_fires_only']=-SA_mortality_fires_only['Vodonos_total']\n",
    "vodonos_df['per2.5_fires_only']=[country_2014_fires_only['perc_2.5'].sum(),country_2015_fires_only['perc_2.5'].sum(),country_2016_fires_only['perc_2.5'].sum(),\n",
    "                             country_2017_fires_only['perc_2.5'].sum(),country_2018_fires_only['perc_2.5'].sum(),country_2019_fires_only['perc_2.5'].sum()]\n",
    "vodonos_df['per97.5_fires_only']=[country_2014_fires_only['perc_97.5'].sum(),country_2015_fires_only['perc_97.5'].sum(),country_2016_fires_only['perc_97.5'].sum(),\n",
    "                             country_2017_fires_only['perc_97.5'].sum(),country_2018_fires_only['perc_97.5'].sum(),country_2019_fires_only['perc_97.5'].sum()]\n",
    "\n",
    "vodonos_df['mean_fires_only_TIs']=-SA_mortality_fires_only['Vodonos_TIs']\n",
    "vodonos_df['per2.5_fires_only_TIs']=[country_2014_fires_only['perc_2.5_TIs'].sum(),country_2015_fires_only['perc_2.5_TIs'].sum(),country_2016_fires_only['perc_2.5_TIs'].sum(),\n",
    "                             country_2017_fires_only['perc_2.5_TIs'].sum(),country_2018_fires_only['perc_2.5_TIs'].sum(),country_2019_fires_only['perc_2.5_TIs'].sum()]\n",
    "vodonos_df['per97.5_fires_only_TIs']=[country_2014_fires_only['perc_97.5_TIs'].sum(),country_2015_fires_only['perc_97.5_TIs'].sum(),country_2016_fires_only['perc_97.5_TIs'].sum(),\n",
    "                             country_2017_fires_only['perc_97.5_TIs'].sum(),country_2018_fires_only['perc_97.5_TIs'].sum(),country_2019_fires_only['perc_97.5_TIs'].sum()]\n",
    "\n",
    "\n",
    "vodonos_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18ef051f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b14a6d5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.677363113375044"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#percentage of smoke from fires through Vodonos et al. 2018\n",
    "avg_per_smoke = np.mean(smoke_perc_deaths['Vodonos_total'])\n",
    "avg_per_smoke*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "60021f7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8.652728471769334"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#percentage of smoke from fires through Vodonos et al. 2018 in indigenous territories\n",
    "avg_per_smoke_TIs = np.mean(smoke_perc_deaths['Vodonos_TIs'])\n",
    "avg_per_smoke_TIs*100-avg_per_smoke*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e6448fea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   -250932.018823\n",
       "1   -266001.857968\n",
       "2   -268962.734556\n",
       "3   -263201.491093\n",
       "4   -253387.748677\n",
       "5   -258774.421456\n",
       "Name: EPA_total, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check of total mortality with and without fires for EPA equa.\n",
    "SA_mortality_fires_only['EPA_total']+SA_mortality_nofires['EPA_total']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "272de701",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2c32ab2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 4200x2400 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Figure S10---in paper\n",
    "# esimate of total deaths in South America due to three different concentration-response functions\n",
    "fig, axes = plt.subplots(2, figsize=[14, 8], dpi=300)\n",
    "\n",
    "#####1#####\n",
    "\n",
    "\n",
    "axes[0].set_ylabel(\"Excess mortality\",fontsize = 20)\n",
    "axes[0].plot(SA_mortality_nofires['year'], -SA_mortality_nofires['Vodonos_TIs'],linewidth= 4, label='Vodonos et al. (2018)', alpha=0.75, color='firebrick')\n",
    "axes[0].plot(SA_mortality_nofires['year'], -SA_mortality_nofires['Krewski_ACS_TIs'],linewidth= 4, label='Krewski et al. (2009)', alpha=0.75, color='peru')\n",
    "axes[0].plot(SA_mortality_nofires['year'], -SA_mortality_nofires['EPA_TIs'],linewidth= 4, label='EPA (2011)', alpha=0.75, color='C0')\n",
    "\n",
    "axes[0].set_title( 'a) Excess deaths in Amazonian Indigenous territories.' , y=1.05, fontsize = 20, loc='left');\n",
    "\n",
    "#####2#####\n",
    "\n",
    "axes[1].set_ylabel(\"Excess mortality\",fontsize = 24)\n",
    "\n",
    "\n",
    "axes[1].plot(SA_mortality_nofires['year'], -SA_mortality_nofires['Vodonos_total'],linewidth= 4, label='Vodonos et al. (2018)', alpha=0.75, color='firebrick')\n",
    "axes[1].plot(SA_mortality_nofires['year'], -SA_mortality_nofires['Krewski_ACS_total'],linewidth= 4, label='Krewski et al. (2009)', alpha=0.75, color='peru')\n",
    "axes[1].plot(SA_mortality_nofires['year'], -SA_mortality_nofires['EPA_total'],linewidth= 4, label='EPA (2011)', alpha=0.75, color='C0')\n",
    "\n",
    "\n",
    "\n",
    "axes[1].set_ylabel(\"Excess mortality\",fontsize = 20)\n",
    "axes[1].set_title( 'b) Excess deaths in South America' , y=1.05, fontsize = 20, loc='left');\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "for i in range(0,2):\n",
    "# where some data has already been plotted to ax\n",
    "    axes[i].tick_params(axis='x', labelsize= 20)\n",
    "    axes[i].tick_params(axis='y', labelsize= 20)\n",
    "\n",
    "\n",
    "axes[1].legend(loc='upper center', bbox_to_anchor=(0.5, -0.15),\n",
    "          ncol=3, borderaxespad=0.5, fontsize=18)\n",
    "#fig.tight_layout()\n",
    "plt.subplots_adjust(left=0.1,\n",
    "                    bottom=0.1, \n",
    "                    right=0.9, \n",
    "                    top=0.9, \n",
    "                    wspace=0.4, \n",
    "                    hspace=0.4)\n",
    "plt.suptitle(\"Deaths due to smoke PM$_{2.5}$\", y=1.0005, fontsize=24)\n",
    "plt.draw()\n",
    "plt.show()\n",
    "fig.savefig('../PP2_figs/AmazonHealth_FigureS10.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "364c2800",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f0e0becd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22607.60267646196"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.max(-SA_mortality_nofires['EPA_total'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "da14500d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>mean_nofires</th>\n",
       "      <th>per2.5_nofires</th>\n",
       "      <th>per97.5_nofires</th>\n",
       "      <th>mean_nofires_TIs</th>\n",
       "      <th>per2.5_nofires_TIs</th>\n",
       "      <th>per97.5_nofires_TIs</th>\n",
       "      <th>mean_fires_only</th>\n",
       "      <th>per2.5_fires_only</th>\n",
       "      <th>per97.5_fires_only</th>\n",
       "      <th>mean_fires_only_TIs</th>\n",
       "      <th>per2.5_fires_only_TIs</th>\n",
       "      <th>per97.5_fires_only_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>11489.713566</td>\n",
       "      <td>19921.667839</td>\n",
       "      <td>2949.293020</td>\n",
       "      <td>141.857255</td>\n",
       "      <td>245.224167</td>\n",
       "      <td>37.475820</td>\n",
       "      <td>163559.276419</td>\n",
       "      <td>271092.896533</td>\n",
       "      <td>51254.864274</td>\n",
       "      <td>1239.124145</td>\n",
       "      <td>2083.697891</td>\n",
       "      <td>392.766618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>12398.321084</td>\n",
       "      <td>21464.143633</td>\n",
       "      <td>3209.142545</td>\n",
       "      <td>208.824154</td>\n",
       "      <td>360.878070</td>\n",
       "      <td>54.094112</td>\n",
       "      <td>169830.723982</td>\n",
       "      <td>282186.639986</td>\n",
       "      <td>52327.815444</td>\n",
       "      <td>1297.756080</td>\n",
       "      <td>2186.249833</td>\n",
       "      <td>396.851767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>13949.850264</td>\n",
       "      <td>24170.034577</td>\n",
       "      <td>3579.231725</td>\n",
       "      <td>306.931123</td>\n",
       "      <td>529.879183</td>\n",
       "      <td>79.294688</td>\n",
       "      <td>167713.566783</td>\n",
       "      <td>277976.579462</td>\n",
       "      <td>51136.778288</td>\n",
       "      <td>1246.842309</td>\n",
       "      <td>2123.132181</td>\n",
       "      <td>359.245678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>12752.126119</td>\n",
       "      <td>22074.154535</td>\n",
       "      <td>3275.368732</td>\n",
       "      <td>226.422673</td>\n",
       "      <td>390.945781</td>\n",
       "      <td>59.247147</td>\n",
       "      <td>169466.740558</td>\n",
       "      <td>279953.738388</td>\n",
       "      <td>53643.180360</td>\n",
       "      <td>1236.204145</td>\n",
       "      <td>2084.993950</td>\n",
       "      <td>372.654695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>8185.936406</td>\n",
       "      <td>14181.390773</td>\n",
       "      <td>2131.596124</td>\n",
       "      <td>163.537112</td>\n",
       "      <td>282.660843</td>\n",
       "      <td>43.157443</td>\n",
       "      <td>169473.033578</td>\n",
       "      <td>280523.622257</td>\n",
       "      <td>53451.331089</td>\n",
       "      <td>1222.102431</td>\n",
       "      <td>2051.577856</td>\n",
       "      <td>390.770132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>13019.382826</td>\n",
       "      <td>22534.886283</td>\n",
       "      <td>3368.676738</td>\n",
       "      <td>308.767449</td>\n",
       "      <td>532.795101</td>\n",
       "      <td>80.451722</td>\n",
       "      <td>162635.887842</td>\n",
       "      <td>269668.036669</td>\n",
       "      <td>49784.791994</td>\n",
       "      <td>1174.921996</td>\n",
       "      <td>1998.563140</td>\n",
       "      <td>343.519339</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  mean_nofires  per2.5_nofires  per97.5_nofires  mean_nofires_TIs  \\\n",
       "0  2014  11489.713566    19921.667839      2949.293020        141.857255   \n",
       "1  2015  12398.321084    21464.143633      3209.142545        208.824154   \n",
       "2  2016  13949.850264    24170.034577      3579.231725        306.931123   \n",
       "3  2017  12752.126119    22074.154535      3275.368732        226.422673   \n",
       "4  2018   8185.936406    14181.390773      2131.596124        163.537112   \n",
       "5  2019  13019.382826    22534.886283      3368.676738        308.767449   \n",
       "\n",
       "   per2.5_nofires_TIs  per97.5_nofires_TIs  mean_fires_only  \\\n",
       "0          245.224167            37.475820    163559.276419   \n",
       "1          360.878070            54.094112    169830.723982   \n",
       "2          529.879183            79.294688    167713.566783   \n",
       "3          390.945781            59.247147    169466.740558   \n",
       "4          282.660843            43.157443    169473.033578   \n",
       "5          532.795101            80.451722    162635.887842   \n",
       "\n",
       "   per2.5_fires_only  per97.5_fires_only  mean_fires_only_TIs  \\\n",
       "0      271092.896533        51254.864274          1239.124145   \n",
       "1      282186.639986        52327.815444          1297.756080   \n",
       "2      277976.579462        51136.778288          1246.842309   \n",
       "3      279953.738388        53643.180360          1236.204145   \n",
       "4      280523.622257        53451.331089          1222.102431   \n",
       "5      269668.036669        49784.791994          1174.921996   \n",
       "\n",
       "   per2.5_fires_only_TIs  per97.5_fires_only_TIs  \n",
       "0            2083.697891              392.766618  \n",
       "1            2186.249833              396.851767  \n",
       "2            2123.132181              359.245678  \n",
       "3            2084.993950              372.654695  \n",
       "4            2051.577856              390.770132  \n",
       "5            1998.563140              343.519339  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vodonos_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d8693c48",
   "metadata": {},
   "outputs": [
    {
     "data": {
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6T6snAAAAAOD6OGfl3LTLgaq1NhpBa1UuRaU01dZVU1ZMIwhqjeSDV3CjFdQ5q9aa5pg074Kgxow20IMgKK9nAQAAAAA4rd67YsrazvFo3rqWsblTSnkNJFhrtJmCLjYTGxIDAHCNCH4+EL33zyS9bYz5nkZb5+9cOuXZcvxF93+6hEd/Kulrer4t9Lm7HBx/4XXvCmPMB9JoP72Baz+S9Ojw2DWGIp/qOJj7LY2G1rMdBwAAAAAAD03rXTlnpZQVr2r1rHWEPUtRzi9u9QzLAloAAAAAAG6DtVbTZDUpSBoLQkcbaBktn6WqdSmloqQiKS6vY0eTqF82LWqS4kFY1EjHQVDvZQmCAgAAAABwK1pr2sak7RzXueveu1IuijEpl7qe673VxWbSFAKbOAEAcAMIfj4wvfePJH1kjPm6RhDvsaSnvfefv8R9PzPGfEMj/Pk72oc/L7eHSmMupkv6/bve9mmMeSzp+xqtpzfhcsvms2u89uVrvaMXBy7PZRwAAAAAANx7pVallJVyVs7l6M2V0epZlcv4Xn1Bq6f3TsF7JtAAAAAAAGfB7Jo7w1iK0ntXrW1pAx3NoK11pVyVcpWUZDQWie6CoME7yVqlXJRykbbj2mF5DbwLhNIeAgAAAADA9Sql6DdzVIxpHxJoTXNMmlNWW+atjZGmMNo9vXenGzAAAA8Awc8Hqvf+haSfLx+vcr9nkr5pjPm+pO/puMXx0FNJ7/fef/om4zwTH0v6pPd+U0HFf37p9tNrvPZTjZDlix7rHMcBAAAAAMC9s9sBNS3NnvVSq2erVblUpVyeC4Iet3o6OcfkGQAAAADg/Blj5L07WgRal9e/pRTlMoKguTTl0qQ4Gj+9W4KgwSk4J+ucchn30xyXc9wIgy5BUF4rAwAAAADw6nrviilrO0flUtbjpVTNMSmlvM5dW2u0mUbgkw2ZAAC4HQQ/8Vp67z+U9ENjzO9pBPrelvSWRsDvr3vvf3HK8V0XY8wu3Pp7N/gw71y6/fk1XvvytS4/1jmOAwAAAACAe6HWEeSMKSvnfGWrZyl5LHitx0FQ58xRkwmtngAAAACA+8C5ZUOjzSRJam3fCJpLVa1NZflQGkFQa42895q8k3dOzjuVOhpEtzEt51gF7zUtmyZ5z3IYAAAAAABepLWmbUzazlFt2bR4bGacFWMaGzQtvLe62Gw0BeatAQC4bbzTjTeyNHreh1bP5xhjHkn6UKO59NkNPtRbN3jty17U0CqdzzgAAAAAALiTeu/KpSilrJSLSq1H3z9q9SxF/SAJaozkvVsXqdJUAgAAAAB4CKy12kzTLgeq1ppKGaHOXIpqbWqtj9fauyCokbz3o03UeXlv1VpTTEkxjSCoMccbKgXvWJwKAAAAAHjwcinazlExpnXj4taaYkyaU1Zr46gx0hRGu6f3zF0DAHAqBD+BF/tY0me9949u+HHOJQR5LuMAAAAAAODOqK0tQc8R9uwHac7e+2gsyVe3elprliaSsRCVBagAAAAAgIfOWqtpspoUJB28ti5jg6VSqlqXUi5KuUiKMhqbKe2CoCGMBanjtfoIi45zDoKgwcvyOhwAAAAA8AD03hVT1naelct+8+JSqrYxKae8hkCtNbrYTNpMQdba0wwYAACsCH4CVzDGvCfpXUlv38LDPbp0+9k1Xvu5axljHr2gwfRcxgEAAAAAwNn6ylbP1pRzUSpFOR+3ekpS8G4sMg1enlZPAAAAAAC+lDFmfR0tjdfltbYRBF2aQVvryqUui1dH46d3dgmDek3eSdYql6Jcynpt79xRENSxoBUAAAAAcI/U1jTPUduY1NrYpLj3rpSzYkzKZb9xcfBOm82kiQ2LAQA4KwQ/gav9SNIPe+9PTz2QG/CWrjfU+brOZRwAAAAAAHypL2v1lKScq3LJyrlc2eoZ1kYRx66oAAAAAAC8AWPM2u65U+sIfY4gaFGtXaW28Ro9jsZPZ83S+OkUnJN1bjSI1qqt4nKOPQqCsmETAAAAAOAuyqVoO0fFmNYmz9aaYkyaY1JbDhojTSHo4mLiNTAAAGeK4CdwiTHmQ0mf996f3MJjPbrpx7jCc495LuMAAAAAAOAcjFbPOoKeKT/X6tlbUypFKVeVnNeJsR3vrYL3mkI4WogKAAAAAACun3NOzjlpM2631pYg6K4VtKm2rpqyYhpBULsEQSfv5J2T8061NdVlEawk2V3b6EEQlNYTAAAAAMA56r0rpqTtHJXLfn4756o5JeWU1xCotUYXm0mbKbBxMQAAZ47gJ3DAGPOOpO9J+vapx3KD3jr1ABbXNg5jzP9F0v/5Fe/29nU9PgAAAADg7mutKeWsmIpyzmqXWj1Lqco5K5eiXK5q9XTrYlAmxwAAAAAAOB1rrTaT1WYKknYbPC0h0DJaPlvrSmls+CSNlpPg/WgTdV7eWzVJ8SAsaszy+n8JggbvCYICAAAAAE6qtqZ5jtrOcZ3j7r0r5ax5Tip1P7cdvNNmM2kKvJ4FAOCuIPiJl2aM+bqk717xrWeSPpf0We/9V7c5phvwsaSPeu+f3tLjXRV+/Pwar/+/3bFxvK5/I+n/ccOPAQAAAAC4Z3IpY5Fnzke7nkq7Vs+qnHdB0OP70uoJAAAAAMDdYIzRFIKmsA+CllrXIGguRb1LKRelXCRFGWmEQJcgaPBWsnZ/zlbrOYdBUDaDAgAAAADchlyKfrONSimtTZ6tNc0xKca0zm8bI22moM1mknfMawMAcNcQ/LzHjDFfk6Te+6+v6ZKPJf3wS77fl90/fiLpw977X17T494KY8z3NQKQT049FgAAAAAAcP1Gq2dRyqPR43KrZy1VqZSl2fO41dMYaQos5AQAAAAA4K4bzZ3j9f3OPghalMtoBM2lLhtFJUmSd3YJg3oF72St3Z8zx+UcN1pBg1cIQY73DwAAAAAA16T3rpiStnM82tg456o5JeWU1xCotUYXm0mbKTC3DQDAHUbw8377TNJvG2N+v/f+sze9WO/955KOnvktLaBvaYRCH0n6XY1W0N83xvxC0vd673/1po9904wxjyV9IOk7vfdnJx4OAAAAAAC4JqUUxTyaPXMpR9/rvSvlMlo9S1G7VOvpnV0Wanp557RseAUAAAAAAO4Z79xoPtlMkqRam0otSyNoXW6PD8UsSXLWrCFQ752ccyNAWqu2cYRFrbUK3q+bSdGuAgAAAAB4VbU1beeoeY7r5sa9d6WUNcc0XqsuQnC6mCaF4JnfBgDgHiD4ef/d6DO23vsXkr6Q9Mvl0F9IemKMeVejOfNTY8z3eu///ibHcQ0+lPRp7/2TUw9EI0h7Xf67N7jvuYzjZfw/JX38ivd5W9L/5wbGAgAAAAA4oda78tLoGXNRa8fNnftWz7F48zDqaYxG40cYCzLZ+RQAAAAAgIfJOSvnpl0OVK210Qhaq3IpKqWptq6asmIaQVBrJB+8ghutoM5ZtdYUU1JMSxDUjLDoxEZTAAAAAICvkHLRdo7ra0ppvD6dY1KMSbt9jY2RNlPQZjOx4RAAAPcMwU/ciN77pxqhzw8kfWSMeXquzZ/GmPckvasRBMQd1Hv/XyX9r69yHybPAAAAAOD+KLUqpayUs3IuR2HO3vto9MxF6YpWT+fsWGzpvbxnsSUAAAAAAHietVbTZDUpSBrvN4w20DJaPktV61JKRUlFUlw2mBpNon5536FJSnm8hyGNnbzD8r5ECF7ee1nemwAAAACAB6v3rpiSfrONKrWux3OumlNUSmU95pzRZpq0mQKbGgMAcE8R/MSN6r0/McY8lvSRpP/+1OO5zBjzSNKPJD3pvT898XBuy+enHsDiXMYBAAAAALhjvrLVs9YR9ixFOb+41TMs7RsAAAAAAACvwhgz3lsIY9lN7121tqUNdDSDttaVclXKVVKSkeS9XYOgwTvJWqVclHKRtuPawbuj9y5YvAsAAAAA919tTds5ap6jWh8z3L13pZQ1x6RS93PiIThdTJOmKZxquAAA4JYQ/MRt+IGkvzbG/LPe+9+dejCX/EjS5733H57o8c8l/Hgu4wAAAAAA4Epf3epZlcv4Xn2u1dMcLZik1RMAAAAAAFwnY4y8d/Lercdqrcqlrs2grXXl0pRLk+Jo/PRuCYIGp+CcrHPKZdxPc1zOcSMMum5i5a4cAwAAAADg7km5aDvPiimvx1qtmmNSTFm7qW9jpM0UdLGZeF0IAMADQvATN673/pkZKyq/JenvTjyclTHmXUnvSfrmqcbQe392xWLTRzf8sM/OdRwAAAAAAOz03pfGi9HsWS+1erZl8WTK5bkgqDGSX9oxpsCCSAAAAAAAcPucc+M9ic243dq+ETSXqlqbyvKhZYGvtUbee03eyTsn551KHQ2i25iWc+z6nkfwoz0UAAAAAHB39N41x6TtHFVqXY/nXDSnpJTKesw5o800aTMFWWtPMVwAAHBCvPuLG2eM+cby5aNTjuMKH0r6qPf+2YnH8Uw399/muev23p+e+TgAAAAAAA9UrSPIGVNWzvm5Vs9SqnLOoy2jHgdBrTVjwSOtngAAAAAA4AxZa5fFuuN2a22EOpdG0FqbWutKaWyCJY3NrYL3o03UeXlv1VpTTEkxpeUco+D374kE73hfBAAAAADOUF029ZnnqNbHbHjv43XgHNPRHHgIThebSVMIpxouAAA4AwQ/cRvekdQlnU3QzxjzgaS3eu/vn3oskj7XcTDyrQc+DgAAAADAA9F7Vy5lLGjM5Wg3U2lpwshFqSytngdJUFo9AQAAAADAXWat1WTtuoh33fSqlDUQ2ruUclHKRVKU0Xg/ZBcEDWG8H5JyVspLWHQ9x8u73bmEQQEAAADgVFLO2s5RcdnkR5JarZpjUkxZbZkHN0baTEEXm4n5bwAAIIngJ27HB8vnswh+GmMeS/q+pO+ceiyLp5IeH9x+dI3XvhzefHYHxgEAAAAAuMdqa0vQc4Q9+0GacyxwbMolK+fy4lbPpcWCBYsAAAAAAOC+MMaM1s4wlvL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btn0B7I2h0dGVyLITZXZvz+zcNzraG2e2H+95nUCTPVBKSWnHI/34Q7paa+ri4rqRaE+AujoaXW/T6UaPrYpYhaYA9EtdWlr+7+++KKUnHC2dgHRsbPPtpZ3bneeOjW0cn7YfLyMjPocCAAAAHDL3P/20tbnz+vWewHN+drZ/v881wO7OzAg/OVCEn/33evvyUIefpZRfJFlK8vVa68+77n8qrXjz2axs+Uz7+pu11n+x0TFrrdeSXCilvJ3kainltVrrn+7NOwAAAAAOklrrcoi5Zotm5/7u+LJrS+bSels0O48JNAH2RCfQfOgWza5gc03IucEWTT8YD71KKSlHjmToyJHk8cf3/Hy11tQHDzbeULoqFl29/bTev9+7CXWzzacLC6lLS3v+vgAgSdL+vYelhYUs9uN8pSxHoOsFpWs2lXbFpSNPPJGxU6cyfvp0Rk+dysjERD8mBgAAACDJ4t27rZhzZmZlg2f7cvGzz5oeb6DdnZnJsX/4D5seA7ZM+NknpZRjaQWP5zMYGz877/PVJH+UJKWU30/yVpLJrESfnZ/CuVRrfWsrB661XiylvJbke6WU3621/sEuzw4AAADskVrr8g/992zL7A4xu4PMe/d648zVwWbnGAJNgD3R+cHxnvhyVXi5fH/XFs3VmzSHVr2+DA01/daAPVBKSRkZydDISPLYY30559Li4tqNpBtEohtuL+3EqO1NqA8e8ty62JfUBwBaoWlno/YOjRw9mrFTp5Zj0LHTp1u329eFoQAAAADb82BhIQs3brSCzlWB5/25uabHYwPz1683PQJsi/Bzj7WDz1eTfDut4LEmeafWeqfJufroUinlQvv6i1kJPTvR53SSl2qtH2znoLXWN0op15L8oJTyH9rH+GX3c0opTyf5buvp4lAAAADYjtWBZneo2b0dc2mdYPOhWzQXFpJam357AIdOGRnp3ZK5aotmT7S5Uby5zvbNMjzc9FsDeKihTmjap2ClPnjQG4u2PzOv2Va6WYz6kOd2H0doCsBuWPz00yx++mk+/2D9H83obAgdO31aGAoAAADQtrS4mIWPPurZ2Hl3ZibzMzNZuHXLz78cJKVk/PTpDI2ONj0JbMuBCT9LKb+X5KUdHKKzgfJSKWUnx9mKyfb5nm9fT3qDx8t7fP79pKQVfHau167rb9dav/GoB661Xi2lnE/yXpLp9hbQH9ZaP2w/5fUkLyeppZRXByi2BQAAYIDUWle2Eq2OLNe53h1g9mzRXCfU9BvUALuvDA9neGJi3S2Y3cHlupszN9qiOTbWip4A2HNleDjDw8MZHh/vy/nq0tJKGLqwsO71Tii6Jj7tfHW/bqMwtf3fFPX+/b68LwD2l8XPPsviZ5/l8w8/XPdxYSgAAABwWNVac+/mzdz91a8yf/16K+xsh54LN26kLi01PSLbMDo1lYlz5zJ+5kzGz55tXT97NuNPPpmhI0eaHg+27SD9JMhzWT+Y3M5PIJa0QsB+KV3XO3N+sytMHASdzZ6rr1+qtb6144PXOpfkuVLK20m+l+SNUspcVoLbzvNEnwAAADSq1pq6uLgSVnZvzOwEmffurYk1eyLN7kCz63l+kxlg95WhoQxPTPSGmOuFmqu2aG60ObPzXIEmANtRhoZa/x4ZG0uOHt3z89VaN91IuuaxhYXlALWuilG3chwA9j9hKAAAAHCQ1Vpzf25uOezsxJ3zs7O5e/26vxTxgDly7Fhv1Hn2bCbal8NjY02PB7vqwPyESa31e0m+V0o5nmQqrY2azya5kNZGyfPdT09vdNl93+r790pN73bLkuTybsSOB8zqLZ9zSV6otf5sN09Sa73Y3vj53SQndvPYAAAADJ6lxcWV0PLevd44syvcXFodb3Zt0Vy+v+t59cGDpt8awOFTykpk2RVfdgeY627RHB3tfd2qLZplZCSl9Ou3kwFgfyilrISmfVBrXT8WfVhsullQ2t5euuax9ubT1O38vcIAbMWOwtBTpzLy2GP9HRgAAAA4lBY/+6wVdrajzvnZ2eXI88H8fNPjsQ3DExPLYefE2bMZ77o+8vjjTY8HfXNgws+OWuvtJLeTfJDkvc797SD0G0leTSsIXf0ndt1bJ/fa6sD0alobLj/ow7n3m+7o82qSi+1fw90/Ua2dbZ9/vuq8AAAA7EO11qTW1KWlVhBZa+qDB63tlV3X69JS0r5cvv7gQesHhJeWks71zmvbjz/o3pi5wRbN7miz+766uNj0twfg8OkONLu3YK7enNkVbq6JN1fdNzw2lnLkiEATAA6oUkrK6GiGRkf78gfXtdbUxcU1G0vXbCttR6LbiU07m09XR6xCU4AthqEnTy5vCB07fTrj3RtDhaEAAABA2+Ldu71RZ3uL5/zsbBY/+6zp8diGodHRnm2dnS2eE+fOZeToUT8HADmA4edG2jHhlSRXSinPJnkryVfSG3rWtKLRW3s8zlyS6STvJvnBXoWOB0Tn/2lfr7V+e69PVmu9Ukp5Lskr6U/kCwAADLjl4LATLnZHit0RY/ftroixJ1zsjhq7I8d1zrHmubWu/9quWfYsstzg+T2vffBg7XGXlpr+5QNgA+uGlqs3ZnbFl0MPCTo714dGR/3BDADQqFJKypEjGTpyJOnD3wje+e/hdaPRrlC0E4uu3n5a79/fWojaFZ/6b23gIFoOQ3/5y3UfH3n88ZUNocJQAAAAOPSW7t3L/I0by0Hn8uXsbO7PzTU9HttQRkYyfvp0xs+dW97c2Qk9R6em/AwBbOLQhJ/daq3XkjxXSnktyXfTGwC+XGv9UTOTDaSa5I1+RJ/LJ6z1UinlYpLj/TonAAAcZD1R3jqB3pqQcZPAcN3Yb7vH3eS1DwsaNw0XV0eZ3WFld5C43mzrnAMAmjQ0OroSV3aizK6tmZ0tmmvizM79Xa9bfo1AEwBgV5RSUkZGMjQykvQpSlpaXNw8Et1se2knRl0Vp6733Lq42Jf3BQy2xc8/z+Lnn28rDB07dWo5Dh3pQ+wPAAAAbM/S4mIWPvqoZ2Nn53Lh5s2k2gN2YJTSijvPnGmFnefOLW/yHDt1KmV4uOkJ4cA6lOFnR631jVLKXJI/b3qWATbdz+izy5/ErzsAwMBYEwx2thJuFhiuF/F1bVbseV4nMOxEgt23t/naLW9lfNg5NnrtI0SWAMDe6wSaG27RXB1qbhRyrnq9QBMAgG5DndB0YqIv56sPHvTGou0NpcvbStfbdLqV7aXt8HT1cYSmwHo2C0OHH3ss4+0YdL2tocJQAAAA2Bu11ty7ebNnY+f8zEzuXr+ehRs3/OzaATM6NbUcdC5fnjuX8SefzNCRI02PB4fSoQ4/k6TWeqWUciHJt5qeZUC908RJ27/uryU538T5AQC2a00k2AkXuzcUro79uiLDbLTJcFUkuNmmxKyz9fChGx07IeNWzrHBTBttZly9+fFhr/W3ewEAu2VodHQ5yOzZgtkVXC5HmaOja7dotjdm9jxvbCxlaKjptwYAALuuDA9neHg4w+PjfTlfXVpaG5F2NpN2gtFOJLo6Pu28ZpNNp90Ra71/vy/vC9hbD774Ip//8pfCUAAAANgDtdbcv317eWPn3ZmZzF+/nvmZmczfuJGle/eaHpFtGDl6dGVj57lzGT9zZvn28NhY0+PBwDn04WeS1Fovl1KEn834cYPnvprk1QbPDwADpda65aDvYVsJHxYlbvb8dTc4bhAyrgkXdxJWrrM1cjmGXB1vbvBa4SIAwPaUkZGVbZjdQWZ3tNn9eNfWzOH1Ys3268rwcNNvDQAA2EAZGmp93h8bS44e3fPz1Vo33Ei64bbSdlzaCUc720u3Epv6IThoxqZh6MREKwY9daoViHa+2reHH388pZQ+Tw0AAAD9tfjZZ62wc3Z2OezsbPJ8MD/f9Hhsw/DExErY2X155kxGnnii6fGALgMRfrZ9L8kfNz3EAJpr8NzvRvgJwDYsh4vrRHzpCgDXbGbsjhg7Wxo3ihG7X7vROTYKILvOsSZ+XG++XYgs0xVGbuW1AACwWhkezvDExLpbNLuDyzXx5uqosyvcHBoby9DIIP3WJgAA0IRSykpo2ged0HTNttKHxaabhKkbHqcdo/q9fdjcg7t388V//I/54j/+x3UfF4YCAABwWDyYn1+OOe/Ozma+/XV3ZiaLn33W9Hhsw9DoaCvmPHs24+2vTuB55Ngxv1cBB8Qg/XTUv296gEFRSjnedfNWY4Mk1xo8N0Bj1ttQuHy9e8vgRoFhJ1zcKDB8SCi47eNucabuiPFhQeOG53zYRkfhIgAAJGltzlkvsuzenLneFs3uOLM72Ow8V6AJAACwNZ3QNGNjfflhjlpr6uLimni0Z1tpVyS61di0s/n0wb17qaviU38Ww2EkDAUAAOAgWbp3L/M3brTCzk7kOTOT+evXc++TT5oej20ow8MZf/LJjJ87txx4Tpw7l/EzZzJ68qTfb4BDYJB+6mo6if/X6oNa6+1SyuX2zekGR7mV5HaSpQZnAA6x63/zN7n7q1+t3ejYiRjX2ei4OmJc97UbhIxb3hoJAAAcbqWsH2Q+bIvmeiHnqvvLyIjf9AcAABggpZSUI0cydORI8vjje36+zp9/rReJbhqfdjahdp67xS2o/uyM/UAYCgAAQL/VBw8y/9FHK5s7uwLPhZs3/eVcB0kpGTt1aiXs/NKXMn7mTCbOncvYqVMpw8NNTwjsoYEJP2utPyulnKi13m56lkFQa/3ePpjhdpITTc8BHF43/92/y9z/8X80PQYAALBftQPN7i2Y623R7L5v3Whz1THKkSN+2A8AAIADp5SSMjKSoZGR5LHH+nLOpcXFLUeiG24v7cSoqwPVdZ5bFxf78r44XIShAAAAPIpaa+7dvNna1tkJPNuXCzdupD540PSIbMPoiRM9Gzsnzp3L+LlzGT99OkOjo02PBzRkYMLPZDkE3HWllK8k+WmS9f7ag+kk7yZ5s9b6t3txfgCa4W9IAQCAw2PNtsxOlLl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      "text/plain": [
       "<Figure size 4200x2700 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Figure 4 --- in paper\n",
    "### Vodonos only for with 2.5 to 97.2 percentile\n",
    "\n",
    "##plot the monthly avgs with and without GFED4s\n",
    "fig, axes = plt.subplots(3, figsize=[14, 9], dpi=300)\n",
    "\n",
    "\n",
    "axes[0].set_ylabel(\"Excess mortality\",fontsize = 20)\n",
    "axes[0].plot(vodonos_df['year'], vodonos_df['mean_nofires_TIs'],linewidth= 4, label='ind', alpha=0.75, color='purple')\n",
    "\n",
    "axes[0].fill_between(vodonos_df['year'], \n",
    "                  vodonos_df['per97.5_nofires_TIs'], \n",
    "                  vodonos_df['per2.5_nofires_TIs'], color=\"slategray\", alpha=0.15, label = 'Mortality- range')\n",
    "\n",
    "axes[0].set_title( 'a) Excess deaths in Amazonian Indigenous territories' , y=1.05, fontsize = 20, loc='left');\n",
    "\n",
    "#####2#####\n",
    "# where some data has already been plotted to ax\n",
    "\n",
    "axes[1].set_ylabel(\"Excess mortality\",fontsize = 24)\n",
    "\n",
    "\n",
    "axes[1].plot(vodonos_df['year'], vodonos_df['mean_nofires'],linewidth= 4, label='Vodonos et al. (2018)', alpha=0.75, color='firebrick')\n",
    "\n",
    "axes[1].fill_between(vodonos_df['year'], \n",
    "                  vodonos_df['per97.5_nofires'], \n",
    "                  vodonos_df['per2.5_nofires'], color=\"slategray\", alpha=0.15, label = 'Mortality- range')\n",
    "\n",
    "\n",
    "\n",
    "axes[1].set_ylabel(\"Excess mortality\",fontsize = 20)\n",
    "axes[1].set_title( 'b) Excess deaths in South America' , y=1.05, fontsize = 20, loc='left');\n",
    "\n",
    "##3###\n",
    "\n",
    "axes[2].plot(vodonos_df['year'],(vodonos_df['mean_nofires_TIs']/(vodonos_df['mean_nofires_TIs']+vodonos_df['mean_fires_only_TIs']))*100,linewidth= 4, label='Average for Indigenous territories', alpha=0.75, color='purple')\n",
    "\n",
    "axes[2].plot(vodonos_df['year'], (vodonos_df['mean_nofires']/(vodonos_df['mean_nofires']+vodonos_df['mean_fires_only']))*100,linewidth= 4, label='Average for South America.', alpha=0.75, color='firebrick' )\n",
    "\n",
    "axes[2].set_ylabel(\"Deaths from PM$_{2.5}$ \\nexposure (\\%)\",fontsize = 20)\n",
    "axes[2].set_title( 'c) Smoke percent deaths from PM$_{2.5}$ exposure' , y=1.05, fontsize = 20, loc='left');\n",
    "\n",
    "# where some data has already been plotted to ax\n",
    "for i in range(0,3):\n",
    "    axes[i].tick_params(axis='x', labelsize= 18)\n",
    "    axes[i].tick_params(axis='y', labelsize= 18)\n",
    "\n",
    "axes[2].legend(loc='upper center', bbox_to_anchor=(0.5, -0.15),\n",
    "          ncol=2, borderaxespad=0.5, fontsize=20)\n",
    "#fig.tight_layout()\n",
    "plt.subplots_adjust(left=0.1,\n",
    "                    bottom=0.1, \n",
    "                    right=0.9, \n",
    "                    top=0.9, \n",
    "                    wspace=0.4, \n",
    "                    hspace=0.4)\n",
    "plt.suptitle(\"Mortality due to smoke exposure\", y=1.0005, fontsize=24)\n",
    "plt.draw()\n",
    "plt.show()\n",
    "fig.savefig('../PP2_figs/AmazonHealth_Figure4.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5b7b5ed0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.6773631133750415"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean((vodonos_df['mean_nofires']/(vodonos_df['mean_nofires']+vodonos_df['mean_fires_only']))*100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a19c69b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2131.596123546299, 37.47581963163603, 24170.034576673952, 532.7951014397484)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## calculate total population in SA\n",
    "min(vodonos_df['per97.5_nofires']),min(vodonos_df['per97.5_nofires_TIs']), max(vodonos_df['per2.5_nofires']),max(vodonos_df['per2.5_nofires_TIs'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e2b0f990",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       ".xr-var-data > table {\n",
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       ".xr-var-name span,\n",
       ".xr-var-data,\n",
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       "\n",
       ".xr-attrs,\n",
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       "\n",
       "dl.xr-attrs {\n",
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       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
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       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                                                                                    (\n",
       "                                                                                                latitude: 4320,\n",
       "                                                                                                longitude: 8640,\n",
       "                                                                                                raster: 20)\n",
       "Coordinates:\n",
       "  * latitude                                                                                   (latitude) float64 ...\n",
       "  * longitude                                                                                  (longitude) float64 ...\n",
       "  * raster                                                                                     (raster) int32 ...\n",
       "Data variables:\n",
       "    spatial_ref                                                                                int64 ...\n",
       "    UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes  (raster, latitude, longitude) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-7e17d3fe-402b-469e-a361-750fec41a563' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e17d3fe-402b-469e-a361-750fec41a563' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 4320</li><li><span class='xr-has-index'>longitude</span>: 8640</li><li><span class='xr-has-index'>raster</span>: 20</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-033c0bcc-0440-4c79-ac17-d7a2115ec125' class='xr-section-summary-in' type='checkbox'  checked><label for='section-033c0bcc-0440-4c79-ac17-d7a2115ec125' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.98 89.94 89.9 ... -89.94 -89.98</div><input id='attrs-3c03a65c-fd2e-4ffd-bdef-bfcad08911fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c03a65c-fd2e-4ffd-bdef-bfcad08911fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02f68017-bd30-45d6-93b4-0cd4328ba98e' class='xr-var-data-in' type='checkbox'><label for='data-02f68017-bd30-45d6-93b4-0cd4328ba98e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([ 89.979167,  89.9375  ,  89.895833, ..., -89.895833, -89.9375  ,\n",
       "       -89.979167])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-86744956-a876-43a9-8d95-a876b542f495' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86744956-a876-43a9-8d95-a876b542f495' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e475c51d-00ad-4328-bb4a-54648480dd99' class='xr-var-data-in' type='checkbox'><label for='data-e475c51d-00ad-4328-bb4a-54648480dd99' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.979167, -179.9375  , -179.895833, ...,  179.895833,  179.9375  ,\n",
       "        179.979167])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>raster</span></div><div class='xr-var-dims'>(raster)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 ... 15 16 17 18 19 20</div><input id='attrs-eec7c831-d1d1-4269-9271-fb1e5ac518a7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eec7c831-d1d1-4269-9271-fb1e5ac518a7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abb23f8e-ff95-4fff-a49b-c09987d082a4' class='xr-var-data-in' type='checkbox'><label for='data-abb23f8e-ff95-4fff-a49b-c09987d082a4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>unknown</dd><dt><span>long_name :</span></dt><dd>raster</dd></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n",
       "       19, 20], dtype=int32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba2667f4-da1e-4978-bcaf-296d5fa6a20f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ba2667f4-da1e-4978-bcaf-296d5fa6a20f' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3fa16dc1-1f3e-4b1f-acd5-6914c87ad9e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fa16dc1-1f3e-4b1f-acd5-6914c87ad9e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c3472ad-8cf6-49c3-8a03-f04f17ffcb18' class='xr-var-data-in' type='checkbox'><label for='data-6c3472ad-8cf6-49c3-8a03-f04f17ffcb18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS[&quot;SIRGAS 2000&quot;,DATUM[&quot;Sistema_de_Referencia_Geocentrico_para_las_AmericaS_2000&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6674&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4674&quot;]]</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314140356</dd><dt><span>inverse_flattening :</span></dt><dd>298.257222101</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>GRS 1980</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>SIRGAS 2000</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;SIRGAS 2000&quot;,DATUM[&quot;Sistema_de_Referencia_Geocentrico_para_las_AmericaS_2000&quot;,SPHEROID[&quot;GRS 1980&quot;,6378137,298.257222101,AUTHORITY[&quot;EPSG&quot;,&quot;7019&quot;]],AUTHORITY[&quot;EPSG&quot;,&quot;6674&quot;]],PRIMEM[&quot;Greenwich&quot;,0,AUTHORITY[&quot;EPSG&quot;,&quot;8901&quot;]],UNIT[&quot;degree&quot;,0.0174532925199433,AUTHORITY[&quot;EPSG&quot;,&quot;9122&quot;]],AXIS[&quot;Latitude&quot;,NORTH],AXIS[&quot;Longitude&quot;,EAST],AUTHORITY[&quot;EPSG&quot;,&quot;4674&quot;]]</dd><dt><span>GeoTransform :</span></dt><dd>-180.0 0.04166666666666666 0.0 90.0 0.0 -0.041666666666666664</dd></dl></div><div class='xr-var-data'><pre>array(0)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes</span></div><div class='xr-var-dims'>(raster, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-48e1b519-4173-4408-b1c5-0b6037f08214' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-48e1b519-4173-4408-b1c5-0b6037f08214' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e53810e2-6e8d-47c7-bb9b-2fdd86626c2e' class='xr-var-data-in' type='checkbox'><label for='data-e53810e2-6e8d-47c7-bb9b-2fdd86626c2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>Persons per square kilometer</dd><dt><span>long_name :</span></dt><dd>UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes</dd><dt><span>min :</span></dt><dd>[ 0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00  0.000e+00\n",
       "  0.000e+00  0.000e+00  0.000e+00  0.000e+00  4.000e+00  0.000e+00\n",
       "  0.000e+00  0.000e+00 -9.999e+03 -9.999e+03  0.000e+00  0.000e+00\n",
       "  0.000e+00  0.000e+00]</dd><dt><span>max :</span></dt><dd>[5.40057148e+04 5.65191953e+04 6.34500156e+04 7.88195078e+04\n",
       " 1.01691797e+05 2.07000000e+02 7.67642000e+05 3.00000000e+00\n",
       " 2.15139427e+01 2.15139389e+01 3.27670000e+04 6.00000000e+00\n",
       " 2.01500000e+03 6.00000000e+00 6.00000000e+00 6.00000000e+00\n",
       " 2.01100000e+03 2.01500000e+03 4.00000000e+00 2.01600000e+03]</dd><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd></dl></div><div class='xr-var-data'><pre>[746496000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f15a1181-b8c3-46bc-a526-4d865b5e4e2d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f15a1181-b8c3-46bc-a526-4d865b5e4e2d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                                                                    (\n",
       "                                                                                                latitude: 4320,\n",
       "                                                                                                longitude: 8640,\n",
       "                                                                                                raster: 20)\n",
       "Coordinates:\n",
       "  * latitude                                                                                   (latitude) float64 ...\n",
       "  * longitude                                                                                  (longitude) float64 ...\n",
       "  * raster                                                                                     (raster) int32 ...\n",
       "Data variables:\n",
       "    spatial_ref                                                                                int64 ...\n",
       "    UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes  (raster, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#uploading population from GPWv4 for South America and Indigenous territories\n",
    "in_pop_clipped=xr.open_dataset('../AQ_Amazon_files/GPWv4pt11/gpw_v4_population_density_adjusted_rev11_2pt5_min_ind_ter2020.nc')\n",
    "SA_pop_clipped=xr.open_dataset('../AQ_Amazon_files/GPWv4pt11/gpw_v4_population_density_adjusted_rev11_2pt5_min_SA.nc')\n",
    "\n",
    "in_pop_clipped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "30c2af08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2b59109df8e0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1yyl1v4HIcvUiIscpqfXXQQMvm5Q4TzIJuVcB/C712DjJFMdq0kA11d9YqtT9LYRe1FUf/hvElKsXETlWBqCbgeoqQq8offJJBfULmWPHSqY4ThMFKjOLLb1U9PzoUvciIm3Q0aG/q6lFvkd44sSBcZIpjltUwEnV+XuH5MeTlIUXEek0i7y1SFGQqnjsBUJ290uUb20PACD5wLf3mFmtv3FKKD0j+cjMLvrGWM/qPhkRkXZiV7P+ok2aTGFm76Z+fgmgsVp/9LpOyURby743iIjMUEfXUY2p88kU+wj59//kvam3Z3dKIiItNGdfz3OKi4+dTOHxYAUh52AfIWnDENbHfpNz/CWEykM9hOpDm2b2rOpcYwPVwE/gGsIq50H54SIi86Z7PaqSrTyIECgOiotnkil63vwjcpIp/Li3EXpheZsxvu1BbDenqsXY00ixgWrXS2Oc90Vjc/bdQkSkQjeveqcB/AkhMeIKqtenngDwPTJbd5C8lNm6Y68iUeMpwlYi2dG3iaaRYgPVBS9x1PMgdQFArfuNiIi0Wk2BKnaLo2naDk75aIXzx+ng4lt+pM8reusO77C8g4q9q9LFzN1E00ixJZQ+91/ibQCPKirwSsetvHEVD1/fb/o0RNrD6qn1F7vF0cHbTtBWUiwh6XAkO1Ys4WiHI3rrjnH2rsqYaBopduPEG/7jFoCvcrqBMkcevr6vYCWSVU+PKnaLo1NTtOUGKu9w3ECoVvE4Zz+qcbbumDRDcKJppEnnqCKfJl2lICWSEZ+efprkdur+elJ1Z4wtjnpTtOXygHMOwGMA97MdjjG37pi03NJE00iaoxIAo8N96lGJHDVGCtlzMysd0hp3i6OalHY4PF29cusOPy46QzDzOsk0Uh9hl+GoaaRx56jGenHplpU3rgIIvSkFKZGU+ssjxWxxNE1bnqoOx0WSVjat4wkQP/rzYjMEj0jmwXwOLLuWK1fsHNXH6Uk2mS/v/eq/Hrmv3pRIFoGaSiiNscXRNG0jqjocnt33lidKnMNhaE4W8T4GcN97Y9EZgpnf/f1kIbCZPfHhw5GFwVmxQ39HxidJvtN0NV2pz+u//W2kTcFKJKOGHhXH2OJomrbCX6GiN+O1+mJGzKIzBP3xpILFgOR1HAa/PdQYqD4guYaQTUIA5wH8JvK50mLp4b7k5/RjecFKQUwWUg2BapwtjqZpyzNpb6bk9c4iLkMwqXqxBWAwyVb1sYFqw8yupU5wJgUKyxauSf2ygSmtKBApSMlC6u7GiUW9GQDYxYSBKpUhmNeezRBMHnuJTKIGybN11vrLRshtkndQ44ZayeK1yIVrUrO8oJUOSsnPClKyqLpaOG7a3kyJfQBLHguAw8oUhe+ROhYIAfMyIrYFid2p9wTJDR5umHgbYcFanVsUX0foTQGHC9fkmCgAiVTo4MaJCe/NGGvaANcTLi4gTAdt+e0pQmWKD8ueihA71hEWKn8W836xParHnjFyCaHSbd/MnpKsM1D1ELlwTeqXnqtKpOetVK1CFl1Xe1RpNW6AO1Flikz2+FOPKZXGWfDb95N4CuAcw9bDb0U+vxYMxRxXAeDMmTPH+dZzoWxOChjtVWWPV5CShdbROaoUcsINcNOJGG6iyhQkH/j7vvQ/H6HGyhTrAC6Y2Xeemj7wrt/jyOfHGKJi4Zpnt6wDwGAwmIPvN8cn6Q3lBavsPFT2eAUoWXgtHtYbwz7CFMsd5lQu90oT9zB67SXCMN9BoJq0MgWAtWyVi5gTjw1U1xB6UX0c1oiquzpF0aI3qUk2WGUDUF5AUpAScR0PVEkKud/9OjtH5Snrt/KG9DywZU1SmWI/lVCRLHV6r+DYA60pSlu06E3qkwSdvCG+mKBVRL0uWQRdn6OKybgrmneyzC6+k1amQEiSS6/7uhJz7q0qShu7cE3GVxZIqoJMVSBSkJKF0PFAhRCcvvCf+wjzQ5MaqzJFyuP0ZookH5YceyAqPd2H+d4F8AHCSmQVpe2Q9LzUyhtXD255j+dJz1vFHC8yb2gAX8fd2srMbpvZU799i/KAcoQnTmTbziap6Gb2xMz+UFSZIuU2yUck/0zyK4TNEyvF9qiyWxpHVbyV9sjOSyXBqqw3lH08Pb+l4T5ZOB3P+ktl3A296UjG3ZjJFOPsXZWWTaaIqnJUGKhIflz0EMI4Y+UEmLTDpGnnVckVClayULo/9LdWNAcFjJ9MEbN3VcRju+WnHJT1qE4D+BNCvvsVKAtvLqSDVF66ejYlvSwYKUjJIul6MgWAR9l08Jzq6VHJFOMguQEg2V14DYdDjtEFzgsDVWao77GnNib3y8YgpcWmze6b5Hkic6GDgYrkI4TsvhWENU+7SA3XkXwLYafhiauoR7htZj+RHAK4mUmmOB/zAuNm/e0hZIssQVvRd0reHFVsTylvrqroMZG5ZO1OlChiZhcBgOROXq+I5NuoSBH3YLaVvNYE5/A0+ZPkm5mySVcB/K7qNcbJ+juHUIy27ymI0iF5SRQxmX9VFdMVpGRhdLso7dNsmw8D7gPYrHjuy9ggxbBD8F+T4rc5h9xFiCUn/BZV0zW3R5W3g6+Z3UPICKk8VtqpbNgvJuCoJyWLrItzVFVJcWb2HkIeQtlrvAMAMdd5Lwgx8Grtee5nsv6iyvAVDf2tkByk7ifbBmfvE6Ew7V9i3kyatfKL64CF8YuinXvTjxWVWhKRzohOivP6rcl1P32N7yNc5wuTHnw4r49UOaUCPU+u2MO0JZS0oHc+PXy1gXf/7gPYq1cAMkVof3G9MAswSwt+ZSF1sEc1TlKcb+V02X9O93p+i8OC4UnbDYTqFN95gDuFsP7qI5Lfl0wP9RGmkBK1llCSOVCWFPHw1UbhcWWvIbIQrN6hv+wO5iTXzOwWydWklBzJKwiLc5fM7O44bQUqk+KSAOXZeCe8uKz51E/6uHsk/4rQy9rJCWxFZldCSebDw9f38e4v/wsAHPwJjKadZ+eisq+hHpUspNeRtwpeeDs7379KchchiIDkEgCY2RaAIcml2Lai9x0nKc5LIn3nAWukJIcXpT3lQ37nve19T9A4mT0+ZbYllGQ+PPjbfw8/2Oj/qKJdfrPUo5JFQ9TXozKzLZL7mearHmwS1xG2agdC8FpGGF6LaSvceSKdFJcqIjuC5IaZXc9sDZJ+nds4HMJLemVECIAjSXcpE5VQiupRkbxB8jOSH3r6YdT2wdJeyTxVIluNAiiYn/rF9dmfnEgbzTY9fYnkMslP/X4PhzvnAiEgxbYVInmJ5B9Jfg/g9yWHrntF9EsFaeYjzOzrqszAbOWLsnJLabFDf0lJ98claYfSIYVzVRW9pfRclsjC8DmqmNtEL29213tUp3xosBa+wPZ9kl95Ly7pBV1A6H0VeeS9qRMA/pHkH8d4z5FK69Nq1X5U0pyHr+/j3b/7AA9+/pOG9kTyxAeh0yS3U/fXy/ba82QImNkmQuZcHyE5Ipnr6eGwonlsW+IfETLr/tnMrvn7ve8djpEhvZQdnzO7D+BGtoMyTqX1OkQFKk9b/AzA2wil4b+oeEolkqv+4zkzu+VtsdkrMgMPfv5T06cg0lpjlFB6bmaD6sMO7PkNCMkOXwDYxuGapj4O1z/FtgE4nEvyYbwPcbgu6puKYg23ygrRTrBt/VTG2ebjhd+IEGUn3ubDu7ZbZrZH8r7f3wcOJhr72fRNOT5KQRfJUVMyhX8hH5C8YmabZrZDctWH5naT6x7JgV8bh+O2jZx6KinC8wx+izAMmFsaKaZa+iwqrRdpapuPvt/WcZjTv4IxsldkNhSkRHLUWMfPh/g2M20jQ4PTtFW8/0sAX3s184l5kkWSeQiEjszWLErqNbLNR+aDXQKwgTCuWZq94sOFqwBw5syZaU5BCrzxy182fQoirdTFWn95krT02Iy7gtf4BGGaJj3P1YOX3zOzL6c7y6Ma3ebDF6c99K5v5fEe4NYBYDAYzMk/m3b58//9b02fgkg7zc8VZ6LtOjJ2igJd7NqocYyTTHEDwDWEooOV23ykkiXS9jKL2pZTSRNDlGeviIg0Zl56VDjcYTeK70e1jTA90/OhvZ6noQ9xOBJ2EqEjU7voyhSZFc1nzexZxfGl46Ze0yqpVbWMMPxXmL0iItIYQ1R5pLZKX7PN7KOI4zfM7LofP7J1h5l97Snq1xE6FkAIgBvHOkeVRvJO+i7C1sYTdx89MK2RvIUQha/68F9l9oqIyHEjcgredYAPw90HsE/yRwCXzeyniKd+lRSmRRgJe5ZzzAkA3yO1tQfJyyQveTHb2sT2qIjDtVN9hLVUE/Phv5GEjHGzV0REjk03h/5WzOwkcDCEdw1ATKLDQzP7ydPY10k+QJiX+s5f6zOEWLAH4BrJB0mCBskXiNy5N1bsHFV6/5CnqvUnIoumo3NUB50KH8JLb7HxZknvaodh990NM3s39Zz3zewbHJbVS9rPp4rcjjUHFiN26O8BwveJoTc9gkooicgi6WagGngppMR5L4MHAFcB/K7geQeVKXy91B5C1YxzyQEkzyIkxH2ZLCj2pLupli/liR36O1KaXURk4XQzUF1FSHZIT7H9vf95oeR5B7+tmf0l1ZN64m33fP7ryNSdt++hZrFDf+n9Q95BmFyLmZATEek+G6vWX5tcTRdrSPNkiWzbbxHS0AckryMEIkPoUR0pNOtxYaQDM4tOTezQXxJND6Iraq6OKyLSZl2co0qCVN6SorwA5mnnWwAGbRpFKw1U40RXEZG51sFANUl6uq+XOhKkYtbOzlJpoGprdBUROW5d7FFhjPR0khsAbiAkTKzhMHuPAM4D+M3Mz7ZA5dBfG6OriMixqrF6+jEbJz39tq+dGgK4aWbpY0fms/IUlFuaWtl+VK2NriIix4nobDJFdHp6EpjM7CnJS35cD2ErjyPbkhTJK7dUh7Ie1dTRVURkbnSzRzVpejrM7BnJR2Z20RPonqUfb8t+VE/Tf2ZObjfvOSIi84rWyUg1Vnr60Yd5CTnp5/5g+/ajUnq6iCy07s5RraKg+kRRAHP7CJXR73j299uZx9uzH5XS00VEgo5m/SU9o+TavR1TrCEpieR3vyb5ZuaQ9uxHpfR0ERHXwUCV3XuK5FmSA4Rd2gvnk3yK53pyFyGB7r3U6xbtR/VVRU9tImOnp3tkXU6GAqdF8tPUBopXECL0UmrnXxGRxnUx6y9ZSuQFZK8AeBeHG9OW7fm3AiC97dKV7AGZXtdMxc5R3QBwEyGrgwAeo4ahP98k8aL/vASEvapI9kkuafNEEWkFq3foL3t9y/uSPk1bypanmQ8RdlG/mU2QK/A4k+n9cIzf7f26OjKJ2Orp+2Y2IHnZN8aaRXr6dQDJh7GHkPaoQCUi7VBToEp2OIenh+d9ST94ywnaMl/wtwDcQuhFnQTwNskXEfNUt0muIcw/vURm7azHgHs47LwA4ROi/16NBCqQ/BhhM60PEcYkp+ry+Qe6RfKmN/VwOCkH1LxDpIjIpIj6elR+3Utf6/K+pJ+aou0gUKXmqA6u1yQ/IXkNYVPEPxSc5pGtnbKZfGb2hOStvNwFT8KrVew2H1+TPO8ndw71jEuerOE1RESOx+zWUfUw+iV9mrYDnpm3g7Dw9zqAtxByDm5XJMj1vee3C+Ar5PQni56fbLhYp+geVZLJ4RtjvVN1PMnVnOY9/zaxZGZbmceGOAxePYQuZd5rrgLAmTNnYk9dRGRqHU1P30TocW0hLP6NmZ8Cwlbz97yD8hPJkQNaUZnCt5//Me8hRNT6M7P1kof7JPupn5cQJvoGSRvCB5v3musAMBgMuvnPRkS6xwC+ij76NMnt1P31iuvhEPlf0qdpS1ydsIdzwYNTz5MxLgD4LnmwTZUpCrefnzaZwsw2/XVW4Tn4ZrZDcuDdzaEy/kSkVeK/Gj83s0H1YQeKvqRP0wZg8mE4M/uc5Gf+mv9iZp9nDmlHZYqy8cu6FnSle0ip+yIirVPX0J+nkw9IXjGzzaIv6dO01cHMbpc83J7KFCIiAq/1V0+k8hGlzUzbyJf0adom5b2hNYSA8xZCIsad7LqoksoUG8c6RyUiIoc6mkwRzdPKLyKVdOEbIa6S/DBn3ukEgO8R6gf+xY+/TPKSmX2HGilQiYhU6OrGiST/iLDg96AJqdm2zMLfk9nhPi+h97knT6RfN5m/2gNwjeQDM/uDF4R4gZrXwb5R54uJiMwls/hbu5xCmDtK/jwB4C6ApwCuZY4dWRKUkt2DcNfMrpnZbTN7F8C3XhQCyM8Wn4p6VCIiETo69Hcj2RY+VfboIYB+znbxF0nuFbzORWTKInmh22Uz+zIpUOt1YU/U+QsAClQiInE6GKjM7KUHlLsIyRFli37ztq1PXAbw+9Tr3vPEiyPHentRsJuYApWISIQu9qh8LukygFvZBIecpIextq33JUwjy5hmsXehApWISBUD8LqDkSqUOLqF0Z1+CeAz+DZLQPn62FlshjgOBSoRkQhdzPpDmKMq6iWVLehtFWX9iYjE6GbW3yrJN7M3YDZDdLOiHpWISIQuzlEhpKX3cTTp4aQv5N0xs2eNnNWYFKhERKoYOpn1h1R6epbX6nt2vKczGQUqEZEKYYffTkaqTp50lgKViEiMbiZT/J7kRqbtJIAlhMrnnaBAJSJSxQB2Mz39KkbnqF4A2FQyhYjIXGllRl+MwkW8XdJYoPLt5/vAkR1/ryB0R5fM7G5T5yYiktXFrL95CFJAs+uobnqA6pNc8sAFM9sCMEzui4i0QjfXUc2FRgKV95x2AcDM7vr2yddxOLm3h1D6Q0SkeRYqU8TcpH5N9aguAjjlPalPva0HYD91TK0bb4mITOW1xd2kdk0O/b3wnlTSw6pEcpXkNsntH374YbZnJyKSQrOom9RvZskUJFdzmvd8DmoXh72nPYQe1hAhvx8IvauR3SbNbB3AOgAMBgP9ixCR46Mg1JiZBSoPKkW2ACS9qD6ARwgBa5Bq25rVuYmIjMVQ24JfkmtmdovkanKdzMt4jm1bBI0M/ZnZHkJm3xW/v5kaBlwGMEzui4g0jYgb9osc+lsluYvw5Rx5Gc+xbbP4XduosXVUeT2uil6YiEhz6hv6u+rBJnEdwEP/Ocl4PhXZthBf6FWZQkSkigF4VVugWiIJHA7f9TCa8RzbthAUqEREIoyR0Xea5Hbq/np6tCg137TiUx1SQYFKRCRGfKB6bmaDvAfS8/IImc19FGc8x7bNPQUqEZFKtZVH2vMbAJwD8AWAbeRnPMe2zT0FKhGRKoZaApWZ7Xjhgn0Au6ls50E24zm2bREoUImIxKhpHVVsxrMyow8pUImIROBrVZxtigKViEgVgwrONkiBSkSkkvaaapIClYhIDAWqxihQiYjEUKBqjAKViEgVM+DVq6bPYmEpUImIxFCPqjEKVCIiVZT11ygFKhGRGOpRNaaxQJXaqbJftsuliEgrKFA1ppEdfn1nyj3fPGxv0XevFJG283VUMTepXSOByq35n30vrngdoTcFHO5eKSLSPEPI+ou5Se0aCVQemPZI7uJwx8oeFnT3ShHpAPWoGtPU0F8Poff0BYB7JPuRz1sluU1y+4cffpjhGYqIpFnI+ou5Se1mlkxBcjWnOZmXWgVwx8yGJHcAJEkUpbtXetLFOgAMBgP9ixCR42GAmaqnN2VmgSp23xQz2/Ie1RYWdPdKEekA9ZYa00h6upndJfkpyT0AJ1Pp6Qu5e6WItJxKKDWqsXVUeeukFnX3ShHpACVKNEaVKUREIph2+G2MApWISCWlnjdJgUpEpIqK0jZKgUpEJEZN6emqaTq+JksoiYh0gpnBXr2KupVRTdPJKFCJiESw1xZ1q6CaphPQ0J+ISIx6hv56UE3TsXU2UD1+/Pg5yX+dwUufBvB8Bq87jTaeE9DO89I5xVm0c/pP0zz5f+PHP2/Z5unIw39Fcjt1f11rRKfT2UBlZr+exeuS3DazQfWRx6eN5wS087x0TnF0TuMxs3+o6aWGqKhpKqM0RyUicnw2EGqZAqppGk2BSkTkmCQ1TFXTdDydHfqboTaOJbfxnIB2npfOKY7OqSGarxofTWVBRESkxTT0l5JdfEdyzf9cTbVdIblM8tOGzmnk/Y/7nKRb2vhvqI3/16S9FKicjxnfyzSvktxFWJh37KvKs+eU9/5NrnRv08WlTRe1ln0urfs31Mb/a9JuClTO/0PsZ5qvmtk5fww45lXlOeeU9/5NrnRvxcWlhRe1Vnwuqfds1b+hNv5fk3ZToCq3lPkW3EOzq8rz3j+v7bi05eLStotaWz6XPD20699Qom3/16RFlPVXIqlsTHLFhyvkqCWSwGEV6B6aubg09b5F2vK5dIb+r0mZhQlU6fmClL3Ut97s8VcAwMw2EVaP91HzqvJxz6nk/RtZ6a6LS76Wfy5DtOjfEHA8/9ek2xYmUE2wdmHPbwBwDsAXALYBJCVepl5VPsE5bRS8f23nlFYWSFt2cWnqfUe07HPJc6z/hiLN/P+adNvCBKoqfoEZkLxiZptmtkNyleQ+gN3UivLBca0qLzinkfef1TlVBNI2XVyKLr5NaNPn0vi/oTHOqdH/a9JuWvArE/Me1z6Afmq4axXhQt0/zhX4Tb1vybm04nMRmQcKVCIi0mpKTxcRkVZToBIRkVZToJJOIvlpCypQ1M5LLV1p+jxE2kSBSuAVAR7W9Fp9kvcnfO7aGLXwRjLBxnx+K3la+8nKA0UWiAKVHNSgq+m19gDcSO6P2TvYmPLtp31+I9SDEimnQCW1ItmHb7VNsgdgZYynD6d8+2mff+wm+IxEFo4W/MoIX/OzDWBgZuu+6PIWgDUASwC2fJFmD8AqgB1vHyIsZl1DuPgOkFrYmbyOma0kW2GY2S0frkteI30eSXvp2qOY5wP4Kudc9xEKxm74e9zNvmfmNbaRGpbLK3WV8/ykt3TS7y9hdGjv4DMq+h1FFpl6VHKEX2j3fP5nj+SqX5BP+p+bCBd3IASiobdfNLN1H/obAgcX8r3kApy5sH/h77cKYMcfO3jcA1nSfq7kfGOfn3eumwiFYzc9SB15Ts5rXE//Xjnnkn3+EkLA2gRw0w878hrZz0hERilQSdZFHF6E93A4LJXdP+gg8KR6XDGGmfsXkHPRR+jB9Pxiv1vyelHPLznXnaLn5Ny/A2CF5GOEmn1V77kDYMffM/n8ql5DRDIUqCTrEXyOyf985D8Pswf6BXnLzLa8J1UoJ5U8eY/HqZ+z55H07L4qeemo50eea/Y9s/eXzeyWmV1A/p5S2fdcRehRJUGyV/Ya85huL1IHzVFJcoFcIrmUzNOk91PyHkGyZXnyc8/nqR6TTAqx3kEIGksk+x4Q9nyeJhmWe+Sv1/PX+gLAleT9EHob66nzSOZzcgu5JvNIVc/3iu/Zcx2kfu+dnOdkz6GfmnPa9M/OUufCzPF7qc9tx3/fkdfI+YxEJEW1/mRiPp+1bmZDz/a7aWaxQ4DTvvfqOMVdmzzXcY37u4nMO/WoZBo7AJZJDhF6SG1ex9SlcxWRFAUqmVjJTsTHoZcM2cUc3PC5RvMhwJHEFZFFpqE/ERFpNWX9iYhIqylQiYhIqylQiYhIqylQiYhIqylQiYhIqylQiYhIq/1/3VgOK9Rkxm4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pop_m2_ind = in_pop_clipped['UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes'][3,:,:]*1.0e-6 # Convert from ppl/km2 to ppl/m2\n",
    "land_m2_ind = in_pop_clipped['UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes'][8,:,:]*1.0e6 ## Convert from km2 to m2\n",
    "\n",
    "pop_m2_SA =SA_pop_clipped['UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes'][3,:,:]*1.0e-6 # Convert from ppl/km2 to ppl/m2\n",
    "land_m2_SA =SA_pop_clipped['UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes'][8,:,:]*1.0e6 ## Convert from km2 to m2\n",
    "\n",
    "pop_ind =pop_m2_ind*land_m2_ind\n",
    "pop_SA =pop_m2_SA*land_m2_SA\n",
    "pop_ind.plot()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "5770baea",
   "metadata": {},
   "outputs": [],
   "source": [
    "#packages for shapefiles\n",
    "import geopandas as gpd\n",
    "import rioxarray as rio\n",
    "from shapely.geometry import mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "82e4a816",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(5799583.5, dtype=float32)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(pop_ind[:,:]).values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "5d7a866c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(4.1224064e+08, dtype=float32)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(pop_SA[:,:]).values"
   ]
  },
  {
   "cell_type": "code",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes&#x27; ()&gt;\n",
       "array(0.00390388)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-95685946-e04a-4a76-86f5-aea0553cef8e' class='xr-array-in' type='checkbox' checked><label for='section-95685946-e04a-4a76-86f5-aea0553cef8e' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.003904</span></div><div class='xr-array-data'><pre>array(0.00390388)</pre></div></div></li><li class='xr-section-item'><input id='section-af272571-c5e3-4d3e-92c3-e71044b32f24' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-af272571-c5e3-4d3e-92c3-e71044b32f24' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-a3b7ac55-dab5-4fb2-8461-7ea1c51612fd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a3b7ac55-dab5-4fb2-8461-7ea1c51612fd' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
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       "<xarray.DataArray 'UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes' ()>\n",
       "array(0.00390388)"
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   "source": [
    "#percent of death in indigenous territories\n",
    "Percent_ind_mort= ind_total_mort_mean/np.sum(pop_ind[:,:])*100\n",
    "Percent_ind_mort"
   ]
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes&#x27; ()&gt;\n",
       "array(0.00290688)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5c6aba38-43e1-4f16-ac60-6ce5197304bb' class='xr-array-in' type='checkbox' checked><label for='section-5c6aba38-43e1-4f16-ac60-6ce5197304bb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.002907</span></div><div class='xr-array-data'><pre>array(0.00290688)</pre></div></div></li><li class='xr-section-item'><input id='section-8ab6e5f2-2a8c-4ba4-b852-a7fff39479a5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8ab6e5f2-2a8c-4ba4-b852-a7fff39479a5' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-997e5e34-6703-4097-afec-b19a54bfcc40' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-997e5e34-6703-4097-afec-b19a54bfcc40' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes' ()>\n",
       "array(0.00290688)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#percent of death in South America\n",
    "Percent_SA_mort= total_mort_mean/np.sum(pop_SA[:,:])*100\n",
    "Percent_SA_mort"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "b1c914b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.014068441"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(pop_ind[:,:]).values/np.sum(pop_SA[:,:]).values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dac20429",
   "metadata": {},
   "source": [
    "### PM2.5 in South America"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "ee61a1f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "## files for PM2.5\n",
    "pm25_2014 =xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2014mean.nc4')\n",
    "pm25_2014_noGFED =xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2014mean_noGFED.nc4')\n",
    "pm25_2015 =xr.open_dataarray('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2015mean.nc4')\n",
    "pm25_2015_noGFED =xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2015mean_noGFED.nc4')\n",
    "pm25_2016 =xr.open_dataarray('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2016mean.nc4')\n",
    "pm25_2016_noGFED =xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2016mean_noGFED.nc4')\n",
    "pm25_2017 =xr.open_dataarray('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2017mean.nc4')\n",
    "pm25_2017_noGFED =xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2017mean_noGFED.nc4')\n",
    "pm25_2018 =xr.open_dataarray('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2018mean.nc4')\n",
    "pm25_2018_noGFED =xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2018mean_noGFED.nc4')\n",
    "pm25_2019 =xr.open_dataarray('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2019mean.nc4')\n",
    "pm25_2019_noGFED =xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2019mean_noGFED.nc4')\n",
    "pm25_2014_2019 =xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2014_2019mean.nc4')\n",
    "pm25_2014_2019_noGFED =xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GEOSChem.PM25.2014_2019mean_noGFED.nc4')\n",
    "\n",
    "##files for indigenous terr PM2.5\n",
    "TIs_pm25_2014=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2014_TIs.nc4')\n",
    "TIs_pm25_2014_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2014_noGFED_TIs.nc4')\n",
    "TIs_pm25_2015=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2015_TIs.nc4')\n",
    "TIs_pm25_2015_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2015_noGFED_TIs.nc4')\n",
    "TIs_pm25_2016=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2016_TIs.nc4')\n",
    "TIs_pm25_2016_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2016_noGFED_TIs.nc4')\n",
    "TIs_pm25_2017=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2017_TIs.nc4')\n",
    "TIs_pm25_2017_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2017_noGFED_TIs.nc4')\n",
    "TIs_pm25_2018=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2018_TIs.nc4')\n",
    "TIs_pm25_2018_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2018_noGFED_TIs.nc4')\n",
    "TIs_pm25_2019=xr.open_dataset('../AQ_Amazon_files//mortality_SA/Data_SA/GC.PM25.2019_TIs.nc4')\n",
    "TIs_pm25_2019_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2019_noGFED_TIs.nc4')\n",
    "TIs_pm25_2014_2019=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2014_2019_TIs.nc4')\n",
    "TIs_pm25_2014_2019_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2014_2019_noGFED_TIs.nc4')\n",
    "\n",
    "##files for SA PM2.5\n",
    "SA_pm25_2014=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2014_SA.nc4')\n",
    "SA_pm25_2014_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2014_noGFED_SA.nc4')\n",
    "SA_pm25_2015=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2015_SA.nc4')\n",
    "SA_pm25_2015_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2015_noGFED_SA.nc4')\n",
    "SA_pm25_2016=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2016_SA.nc4')\n",
    "SA_pm25_2016_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2016_noGFED_SA.nc4')\n",
    "SA_pm25_2017=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2017_SA.nc4')\n",
    "SA_pm25_2017_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2017_noGFED_SA.nc4')\n",
    "SA_pm25_2018=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2018_SA.nc4')\n",
    "SA_pm25_2018_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2018_noGFED_SA.nc4')\n",
    "SA_pm25_2019=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2019_SA.nc4')\n",
    "SA_pm25_2019_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2019_noGFED_SA.nc4')\n",
    "SA_pm25_2014_2019=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2014_2019_SA.nc4')\n",
    "SA_pm25_2014_2019_noGFED=xr.open_dataset('../AQ_Amazon_files/mortality_SA/Data_SA/GC.PM25.2014_2019_noGFED_SA.nc4')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "3426fe9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating a table with all the information\n",
    "#units ug/m3\n",
    "PM25_annualmeans = pd.DataFrame()\n",
    "PM25_annualmeans['year'] =['2014','2015','2016','2017','2018','2019']\n",
    "PM25_annualmeans[\"PM25_SA\"]=[np.nanmean(SA_pm25_2014[\"PM25\"]),np.nanmean(SA_pm25_2015[\"PM25\"]),np.nanmean(SA_pm25_2016[\"PM25\"]),\n",
    "                             np.nanmean(SA_pm25_2017[\"PM25\"]),np.nanmean(SA_pm25_2018[\"PM25\"]),np.nanmean(SA_pm25_2019[\"PM25\"])]\n",
    "PM25_annualmeans[\"PM25_SA\"]=PM25_annualmeans[\"PM25_SA\"].astype(float)\n",
    "PM25_annualmeans[\"PM25_SA_noGFED\"]=[np.nanmean(SA_pm25_2014_noGFED[\"PM25\"]),np.nanmean(SA_pm25_2015_noGFED[\"PM25\"]),np.nanmean(SA_pm25_2016_noGFED[\"PM25\"]),\n",
    "                             np.nanmean(SA_pm25_2017_noGFED[\"PM25\"]),np.nanmean(SA_pm25_2018_noGFED[\"PM25\"]),np.nanmean(SA_pm25_2019_noGFED[\"PM25\"])]\n",
    "PM25_annualmeans[\"PM25_SA_noGFED\"]=PM25_annualmeans[\"PM25_SA_noGFED\"].astype(float)\n",
    "PM25_annualmeans[\"PM25_SA_fires\"]=PM25_annualmeans[\"PM25_SA\"]-PM25_annualmeans[\"PM25_SA_noGFED\"]\n",
    "\n",
    "PM25_annualmeans[\"PM25_TIs\"] = [np.nanmean(TIs_pm25_2014[\"PM25\"]),np.nanmean(TIs_pm25_2015[\"PM25\"]),\n",
    "                                     np.nanmean(TIs_pm25_2016[\"PM25\"]),np.nanmean(TIs_pm25_2017[\"PM25\"]),\n",
    "                                     np.nanmean(TIs_pm25_2018[\"PM25\"]),np.nanmean(TIs_pm25_2019[\"PM25\"])]\n",
    "PM25_annualmeans[\"PM25_TIs\"]=PM25_annualmeans[\"PM25_TIs\"].astype(float)\n",
    "PM25_annualmeans['PM25_TIs_noGFED']=[np.nanmean(TIs_pm25_2014_noGFED[\"PM25\"]),np.nanmean(TIs_pm25_2015_noGFED[\"PM25\"]),\n",
    "                                     np.nanmean(TIs_pm25_2016_noGFED[\"PM25\"]),np.nanmean(TIs_pm25_2017_noGFED[\"PM25\"]),\n",
    "                                     np.nanmean(TIs_pm25_2018_noGFED[\"PM25\"]),np.nanmean(TIs_pm25_2019_noGFED[\"PM25\"])]\n",
    "PM25_annualmeans[\"PM25_TIs_noGFED\"]=PM25_annualmeans[\"PM25_TIs_noGFED\"].astype(float)\n",
    "PM25_annualmeans[\"PM25_TIs_fires\"]=PM25_annualmeans[\"PM25_TIs\"]-PM25_annualmeans[\"PM25_TIs_noGFED\"]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "4baa9801",
   "metadata": {},
   "outputs": [
    {
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       "      <th>year</th>\n",
       "      <th>PM25_SA</th>\n",
       "      <th>PM25_SA_noGFED</th>\n",
       "      <th>PM25_SA_fires</th>\n",
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       "      <td>2014</td>\n",
       "      <td>6.629016</td>\n",
       "      <td>5.386566</td>\n",
       "      <td>1.242450</td>\n",
       "      <td>7.399302</td>\n",
       "      <td>5.782394</td>\n",
       "      <td>1.616908</td>\n",
       "      <td>0.374458</td>\n",
       "      <td>0.770286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>7.563830</td>\n",
       "      <td>5.891315</td>\n",
       "      <td>1.672515</td>\n",
       "      <td>8.947491</td>\n",
       "      <td>6.707218</td>\n",
       "      <td>2.240273</td>\n",
       "      <td>0.567758</td>\n",
       "      <td>1.383661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016</td>\n",
       "      <td>7.584318</td>\n",
       "      <td>5.778536</td>\n",
       "      <td>1.805782</td>\n",
       "      <td>9.306212</td>\n",
       "      <td>6.561954</td>\n",
       "      <td>2.744259</td>\n",
       "      <td>0.938477</td>\n",
       "      <td>1.721894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017</td>\n",
       "      <td>7.209765</td>\n",
       "      <td>5.567838</td>\n",
       "      <td>1.641927</td>\n",
       "      <td>8.215197</td>\n",
       "      <td>5.883830</td>\n",
       "      <td>2.331367</td>\n",
       "      <td>0.689439</td>\n",
       "      <td>1.005432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>6.568462</td>\n",
       "      <td>5.534091</td>\n",
       "      <td>1.034372</td>\n",
       "      <td>7.088744</td>\n",
       "      <td>5.639002</td>\n",
       "      <td>1.449742</td>\n",
       "      <td>0.415370</td>\n",
       "      <td>0.520282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2019</td>\n",
       "      <td>7.661998</td>\n",
       "      <td>5.703073</td>\n",
       "      <td>1.958925</td>\n",
       "      <td>8.906740</td>\n",
       "      <td>6.078244</td>\n",
       "      <td>2.828496</td>\n",
       "      <td>0.869571</td>\n",
       "      <td>1.244742</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year   PM25_SA  PM25_SA_noGFED  PM25_SA_fires  PM25_TIs  PM25_TIs_noGFED  \\\n",
       "0  2014  6.629016        5.386566       1.242450  7.399302         5.782394   \n",
       "1  2015  7.563830        5.891315       1.672515  8.947491         6.707218   \n",
       "2  2016  7.584318        5.778536       1.805782  9.306212         6.561954   \n",
       "3  2017  7.209765        5.567838       1.641927  8.215197         5.883830   \n",
       "4  2018  6.568462        5.534091       1.034372  7.088744         5.639002   \n",
       "5  2019  7.661998        5.703073       1.958925  8.906740         6.078244   \n",
       "\n",
       "   PM25_TIs_fires  PM25_fireenhancement_inTIs  PM25_enhancement_inTIs  \n",
       "0        1.616908                    0.374458                0.770286  \n",
       "1        2.240273                    0.567758                1.383661  \n",
       "2        2.744259                    0.938477                1.721894  \n",
       "3        2.331367                    0.689439                1.005432  \n",
       "4        1.449742                    0.415370                0.520282  \n",
       "5        2.828496                    0.869571                1.244742  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PM25_annualmeans[\"PM25_fireenhancement_inTIs\"]=PM25_annualmeans[\"PM25_TIs_fires\"]-PM25_annualmeans[\"PM25_SA_fires\"]\n",
    "PM25_annualmeans[\"PM25_enhancement_inTIs\"]=PM25_annualmeans[\"PM25_TIs\"]-PM25_annualmeans[\"PM25_SA\"]\n",
    "PM25_annualmeans\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "5d4603da",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "On std Indigenous territories experience an increase of 0.4 ugm-3 in PM2.5 for 2014-2019.\n",
      "On std Indigenous territories experience an increase of 0.21 ugm-3 in PM2.5 for 2014-2019.\n"
     ]
    }
   ],
   "source": [
    "print('On std Indigenous territories experience an increase of ' +str(round(np.std(PM25_annualmeans[\"PM25_enhancement_inTIs\"]),2)) + ' ugm-3 in PM2.5 for 2014-2019.'+\n",
    "     '\\nOn std Indigenous territories experience an increase of ' +str(round(np.std(PM25_annualmeans[\"PM25_fireenhancement_inTIs\"]),2)) + ' ugm-3 in PM2.5 for 2014-2019.') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "720d620c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "On average Indigenous territories experience an increase of 1.11 ugm-3 in PM2.5 for 2014-2019.\n",
      "On average Indigenous territories experience an increase of 0.64 ugm-3 in PM2.5 for 2014-2019.\n"
     ]
    }
   ],
   "source": [
    "print('On average Indigenous territories experience an increase of ' +str(round(np.mean(PM25_annualmeans[\"PM25_enhancement_inTIs\"]),2)) + ' ugm-3 in PM2.5 for 2014-2019.'+\n",
    "     '\\nOn average Indigenous territories experience an increase of ' +str(round(np.mean(PM25_annualmeans[\"PM25_fireenhancement_inTIs\"]),2)) + ' ugm-3 in PM2.5 for 2014-2019.') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "e38f410d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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Ws2WLnC1bZP6eUeXCBRXSfXLTaZW/+87veA3jjWWV/+hj5T/6WFYwoOjTT8tJpeR0d7NILgDMUcYYuem0RvfuU/n8eb/jTBHt6lLznt2KbtjgdxQAmFeqxaoufTk+De7wgArXC35HmjmWtPTJpfVpcDs6tOTxJfd0LWdietzw+WGd7z2v62eua+iroSmT88LJsNrWt2npk0vV2dOp1s7WmfwkQENRigMAzBulc+eVO9Cr/KHDMpW5PWHFikQU/+lPlOzpUXjNGr/jAACwYEyU4K701afBjV64vxLcjxnPyNTM5GNJsuzG3vw7sb2J7ZuakfGMrAA3GQMAgPnHsi1ZAUumZmTZVv14yjMNPYb68XGZFbAafoy2WNVK916ei7XF5Cx17jh1LrY0pqATpDwHAAAA4I4sy1L40UcVfvRRtfytP1B1eFjueEGueOrUnL/uf69MtSb3+Am5x09I/+bfKrz2ETndKTmpboU7O/m5CQB8ZjxPhc+/0Oi+vapczPgdZwqnu1vNe3Yr8thjfkcBgHkjeymrzOGMLh66qKt9V+VVPb8jzZhQPKRVz63Smh1rtPr51fc05e1OWjtb1frf1stuxhhV3apqlZoCoQDXezCvUYoDAMxpXrmswpHPlO3dr/K5ubVCz+2EVq1SomenEj/9qexYzO84AADMe40uwd3CNHZzc36/AAAAD8myLIWckMq58mQpzqt5soONm7br1eoXLyeKcCGHqWWzrVaqKXspq+yl7LSvC0QCUybNTRbobpo6F2urT54DAAAAgGBrq5I7X1Vy56vySiUVT56Sm07L7UurNjrmd7yGKV/4XuUL32t0714FWlrkdHfL6e5WtGuj7HDY73gAsGiYWk35Q4c19s47qly+7HecKWLPPqvm3W8r/OijfkcBgDnPq3q6euKqMocyyhzOaOziwvnZ4Xaa1zarY0d9ulv7xvaGXoObYFmWQrGQQuL6DeY/SnEAgDmpcnVQuQ8OKPf7D+Xl837HmV7AVuyZZ5Xs2anIk09ykxYAAA+hOFKcLMDNSAnux/z6ts3hAgAAmMdCsXopzg7a8qqevKonEzYNOSdijJlc0XPiIh+FqrmrVqopO5BVdmD68lwwGpwsz91p6pyzxOHfNQAAALCI2JGIYltTim1NyRij8vnzctNpFdJpVb6/6He8hqmNjCh38KByBw/KCoUU3bhRTqpekgu2tvodDwAWJFOtKv/JJxp9511VBwf9jvMDy1J8+zY1vb1b4Y7VfqcBgDnNHXaVOVwvwV3+4rIqhYUxZfp2AuGAVqRWqGN7vQiXWJHwOxIwr1CKAwDMGcbz5PYdU+5Ar9zjJ/yOc1eBlhYlXn1ViVde5mQ1AAAPaNZLcD9i2ZasgCVTM5OTToxnJqeSNILxzOS+JMkKWA3dPgAAwGyLtkaVH8zLClj1sr+pr9IZCAUeette1atP1bXqx00T+8P8Vi1WNZYZ01hm+tVbg06wPm1uqXPHqXNOm6OQQ3kOAAAAWEgsy1Jk3TpF1q1Tyx/+oarXr8vt61MhnVbp9GmZas3viA1hKhW5fX1y+/okSeHOTjmpbsVSKYUeeYQFeAHgIZlyWbmPPtLou++qNnTD7zg/sG3Ff/oTNb/9tkIrVvidBgDmJGOMhs4OTRbhhs4O+R1pRsXb41q9fbU6tndo5daVCkao9QAPiv97AAC+q42NKff7D5X74ICq1+f+gWz0qaeU3NUjJ5WSFeRbKQAA96M4UtSVY/UC3NW+qxr5bsTXPJZlKeTUJ51MlOK8mjc5laQRvFp90slEES7khLiwDQAA5rWQE1IoHlIlX1EgFFCtXFOtVJMdsB+q/G88o1qpfqNjIBSoH6vFQxSgFpGqe2/luVAsNP3UufHHwSjn7gAAAID5KLh0qZK7dim5a5c811Wxv1+FdJ/cY8fkZaefVD2flM+fV/n8eY3+//4PBdqWKNZdnyAXfeopWeGw3/EAYN7wymXlDhzQ2K9/o9rIiN9xJlnBgOIvvqSmN3+hUHu733EAYM6pFCoa+HxAmcMZDRwZUHG46HekmWNJ7V3tk9PgWjpbuHcIaBCuBgIAfGGMUfmbb5Tt7VXhs8/m/MpulhNV4oUXldz5qkKrGV8PAMC9mmsluNsJxeqlODtoy6t68qqeTNg05OSTMaY+7USaLNqFYtzUDQAA5r94e1wj50dkh+rHUMYzqharCjrBW4pxlmXJGFOfAHcHxtTfL9UXE7BD9WOnxPLEjH0GzF+VQkWVQkVjF+9enpsoyd1p6lxsaYwVWAEAAIA5zHYcxZ57TrHnnpPxPJW++UZuuk9uOq3KpUt+x2uY2tANZXsPKNt7QFYkImdTl5zxklygqcnveAAwJ3muq2zvAY29/xt5Y3OnNG2FQkq88oqa3vyFgkuW+B0HAOYMY4zGLo5NToO7evyqTG2ai0fzXDgZ1upt9Wlwq59frUgy4nckYEHiKh8AYFZ5pZLyn36q3IEDKl/43u84dxVa06Hkrl2K79ghOxr1Ow4AAHNecaSoq8ev6kpfvQg3cn7E70h3FW2NKj+YlxWwJEuSkbyqp0Ao8NDb9qpe/eZvS/Xtj+8PALDIWfWS0D39Ol4usizrh8f2+Pes8cf3sw3ZP3rfTdvzK9MDb+OmXydLWDdvu5HbaPCf06z+Wd/mMzbqz/qjf/KRzh84r1qxpqGvhmQ8o1A8pJZHW245ljIy9am8FU+1Sk1exZt8XC1W5d5w68U5SwpGg7IsS9GWqCJNXCDEg6sUKhr9flSj349O+7pQPDSlJHe7qXNOm0N5DgAAAPCZZduKrl+v6Pr1av3b/6UqVwflptNy02kVvzor1Ty/IzaEKZVU+OJLFb74UrIsRR57TE6qW04qpdDq1UyUALDoefm8xn73O2V/+zfy8nm/40yyIhEle3aq6fXXFWhp8TsOAMwJtXJNV45dqRfhDmWUu5zzO9KMan2stT4NbkeHlj217JaFJAE0nmXMwm3XAguVZVkbJfVPfN3f36+NGzf6mAi4u8qlS8r2HlD+44/lua7fcaZlBQOKPf+8kj09Cj/+OCeUAQCYxnwswd3O0NdDquQrqpVrqpXrE2xDsdBDnZwynlGlUJEkBcIBBcIBheIhtT3R1pDMwKLhY4nlQctDFGvuv1jT0D+nuV724mdMLCClsZL2/v29codclfNlDX87LOMZWQFLyVVJOa3OtMdTxjNyh11lL2VlavX3ta5rVTAaVDgR1gv//Qv1wtyQq8JQQYXrBblD7uTXtVJtFj8tIIUT4TtOnZucSLeE8hwAAADgBy+fl3uiX276qNzjJ+ZUSaKRgsuW1SfIpVKKPrlBVpCfPwAsHrVsVmPvv6/s/v0ybtHvOJMsJ6qm115T8uc/VyCZ9DsOAPiucL2gzOGMLh66qMtfXl7Q13MCkYBWPrNSa3as0eptqxVfFvc7EjDrTp48qa6urpuf6jLGnJyt/VOKA+YhSnGYL0ytJjedVvZ3+1U8fdrvOHcVaFui5M6dSrz8sgJNTX7HAQBgTiqOjpfg0vO7BPdjxdGiRs6PyBijqlut38xtWwo6wQcqL9xpO63rWmd22snDFFAessSyICf7zPVijQ9/TrNZ9pp4HgAwtw2fG9b7//B9lbNlVYtVjXw/omqhKkmyg7airVGF4+H68ZBtyXj146RyvqzicLE+WVdSMBZUyyMt9UJcMqzX//nral3Xesf9GmNUyVdUGKoX5QrXC3Jv1H+d8tyQO7noATBbwsnwZGHuTlPnYm0xBcIPP50aAAAAwK1MrabS11/LTadVSKdVvXLV70gzwnKicjZtrk+R27JFgUTC70gAMCNqIyP1MlzvAZlSye84k+x4XMmf/0xNr70mO04JAsDiZTyja6evKXMoo8zhjIa/HfY70oxKrEyoY0eHOrZ3aMWWFZzrx6JHKQ7AfaMUh7muOjys3O9/r9wHB1UbnvsHt87mTUrs7JHTvUWWbfsdBwCAOWWyBDcxCe7ciN+RZszIdyMqjhSnTHizbEvBaHDKhJNANKBwIqxIIqJA5KYTW5ZkyVKtUlN2IKtKoVKfdtLZqkA0oEdeeEQ7/q87ZqSAJFEeAgAA/hk+N6zf/fnv5A65MjIqDBaUv5aXV/Hu+l47ZCu+LK5Ye0yWLDltjl775WvTFuLux83luYmS3I8fTxTo7iUv0EjhZLhekls6tSz34wJdIMQFdQAAAOBhVC5fHi/I9an01VfSQrxfzrIUWb9esVR9ilxo5Uq/EwHAQ6veuKGx936t3MGDMpWK33Em2U1JNb3+hpI9O2U7jt9xAMAXpWxJA58NKHM4o0ufXVJpbO6UlhvNClhavnm5OrbXi3BNa5q4Rwe4CaU4APeNUhzmImOMSmfPKru/V4Uvv5Bqc/smIjseV+KlF5XYuVOh5cv9jgMAwJxRGivpyrEri6IE92Ne1dP1M9flVT15NU9Vtz7hxApYcpY4irfHFU6GFQje/oZU4xm5w66yl7IyNVMvxK1rVTgeltPmaM+/3jOzU+IAAAB8VBor6chfHtH53vOSxs8VjZZUypZUKVRULVYlI8mSgtGgQrGQIsmIIs2RyQuHnT2d2vZn23w5ZjLGqJwr33XqXOF6YXK6HTBbwsnw9FPnlsbkLKE8BwAAANyLWi4n99gxuek+uSeOy7hFvyPNiOCK5XK6uxVLpRRZv15WgJ8XAMwflcFBjb37nvIffyRTrfkdZ1KgpUVNv3hDiVdflR3hui+AxcUYo5HzI8ocrk+DG+wfrF/3WaCiLVGt3r5aHds7tOrZVQrHw35HAuYsSnEA7hulOMwlnusq/8knyu7vVeXSJb/j3FV4XaeSPT2KbdsmO8xBKgAAi7kEdzsVt6LsQFaBaEDBcFCFGwXVivULLXbQVrQ1qnA8rKBTnx5nPKOqW1U5X1ZxuDh5g3QwFlTLIy0KRoMKJ8N6/Z+/3rBpJwAAAHNZ5nBGJ351QoPHB+/5Pe2b27XpTzapY1vHDCZrjIny3N2mzrlDLuU5zLpIU2TaqXMT5Tk7aPsdFQAAAJgTTLWq4pmzctNpuX19ql675nekGWHH43I2b5KTSsnZtEl2PO53JAC4rcqVKxp95x3lP/lU8ubOubVA2xI1v/WWEi++KIv7zQAsItVSVZePXlbmcEYDhweUH8z7HWlGtW1om5wG17ahjWlwwD2iFAfgvlGKQyMZY2SKRZlqVVYwKCsavacDufLFi8r29ir/yacypbk99tgKhRTbvk3Jnh5F1q3zOw4AAL6iBHer5keatbx7uVamVmr55uUqjhT1uz//ndwhV0ZGhcGC8tfy8ip3v/Bih2zFl8UVa4/JkiWnzdFrv3yNQhwAAFh0hs8P63zveV0/c11DXw2pnC1P/l44GVbb+jYtfXKpOns61dq58I6VjDEqZ8u3TJ2bUqC77sq9QXkOsy/SHJmcMPfjaXOTz1GeAwAAwCJjjFFl4JLc9FG56T6Vvv1WWoj31QVsRddvqBfkUimFlrf7nQgAVM4MaOydfcofPjKn/u4NLlum5t1vK/7Tn8oKBv2OAwCzInclNzkN7kr6imrluTOxs9FCsZBWPruyXoTb1iFnieN3JGBeohQH4L5RisPDKl+8qPzhwyp/e07lCxfk5X9YvcGOxxVeu1bhx9YpvmOHwh0/rNBtqlUVvvhC2d4DKp0960f0+xJsb1eyZ6fiL76oQCLhdxwAAHxRypZ09djVyRLc8LlhaZH/GDhRglvRvUIrtqy47Umt0lhJR/7yiM73npdUvxheGi2plC2pUqioWqzW/xwtKRgNKhQLKZKMKNIcmVxgoLOnU9v+bJsiTZHZ/HgAAABzjjH16bq1Sk2BUKA+dZfVNSWNH2eOle46dY7yHPwQbYnKaXOmnTpHeQ4AAAALVW1sTO6xY/Upcif65/xiwQ8qtGrVeEGuW5HHH5dlc3wPYPaUv/tOo/veUeGLL/yOMkVo5Qo1vb1b8R3bZQUCfscBgBnlVT0NnhysF+EOZTR6YdTvSDOqaU1TvQS3o0PLNy3n/DbQAJTiANw3SnF4UG5fn0bf+/V9FdoiGzYo8eILqg4OKnvwoLyx7AwmbADLktPdreSuHkW7urjBCgCw6FCCu1XTmqZ6AS515xLcnWQOZ3TiVyc0eHzwnt/Tvrldm/5kkzq2ddz9xQAAAMA9mFikYbIs96MCXeF6QcUbRRWGCjK1Rf4DAGaXJUWbo3KWOneeOtfmyGmlPAcAAID5y5TLKp45IzedViHdp9qNG35HmhF2MilnyxbFUt2KdnXJdpiUAWBmlM6d0+h/3iu3r8/vKFOE1nSoefcexZ57lpIwgAWtOFLUwGcDunjooi59fkmVfMXvSDPGDtpa3r1ca3asUcf2DiVXJf2OBCw4lOIA3DdKcbhftVxOw//u3yl/6HD9CWNUy2Xl5fIyxaK8clnyPMm2ZYfDsqJR2fG4ZNuqjYzIy2YVaGpScMWKObv6jd2UVOLll5V85RUFly3zOw4AALOmlC3p6vGbSnDfUoKbLMF1r9DyLcsVa4s99DaHzw/rfO95XT9zXUNfDamcLU/+XjgZVtv6Ni19cqk6ezrV2tn60PsDAAAAHsTN5bnbTZ2beOwOuTLeIv/BAbPL+mHy3G2nzo0/jrZGZQe46QwAAABzlzFGle+/VyGdltvXp/K5835HmhFWMKDIk08ptjUlJ5VSsK3N70gAFoDi2bMa3btPxf7+u794FoUffVTNf7BHTirFAuwAFiRjjG58c0OZQxllDmd0/cz1BX1vkdPmqGNHhzq2d2jl1pUKOSG/IwELGqU4APeNUhzuR/niRQ3+j/+TaiMjkoyqQzdUu3FDplq9/RuMkanVZCr1lR+sYFBWKDT5OLRmjexodHbC34PIE08ouatHsWefncwJAMBCRgnuVjNRgpuOMUZVt6papaZAKKCgE+TiCAAAAOYVY4yKI8U7Tp1zb7hyr7tyb1CewyyzJKfVqU+Xu8PUudjSmKItlOcAAAAwN1SHh+X29cntO6Zif//kvRYLTWhNh2KplJytWxXu7OS6CIB7ZoxR8dQpje7dq9KZs37HmSLy+ONq3rNb0c2b+XsNwIJTKVR06ctLyhzOaODIgNwh1+9IM8eSlj29TB3b60W41sda+XsdmEWU4gDcN0pxuFflixd19Z/8U3n5vEyppMrly/Lc+oGtFQzKbm6W7TiyIhGZclm14WHVxsakalWmVpPGv0dYti0rHJZsW1YgoNAjj/hajLPCYcV/8hMld/Uo/MgjvuUAAGA2lLIlDZ4YnCzB3fjmBiW4jiYt714+WYSb6RIcAAAAsFgZr16eu3nanHtj6tS5iecW+88pmGWW5CxxJgtzt5s657Q5clodWTY3PwAAAGB2eOWyiv0nx0tyfeOLFy88geZmOd1b5KRSim7cKDsS8TsSgDnIGKPi8eP1Mtw33/odZ4roU0+qec8eRZ56itIEgAVlLDOmzOH6NLirx67Kq3p+R5ox4URYq55fpY7tHVr9/GpFm+fOsA9gsaEUB+C+UYrDvajlcrr8j/4H1UZG5LmuKt9/L+N5sgIBBdvbZTc3y5JRbSyr2vDwZFlugjFGqtVkyuXJ5+xotF6MCwYVXrdOViAwq58ptHKlEj07lXjhBdkxbn4HACxMlOBuRQkOAAAAmNtuLs/dburcxHOU5zDrJspz00ydi7XVJ89RngMAAEAjGWNUPv+d3HRabl9a5Qvf+x1pRlihkKJPPy0nlZKT6lawtdXvSAB8ZoyR++WXGt27T+ULF/yOM0V0U5ead+9RdMN6v6MAQEN4VU9Xjl2pT4M7PKCxzJjfkWZUS2fL5DS4ZRuXyQ7YfkcCIEpxAB4ApTjci+v/4l8of+iwTKmk8nffyXie7FhMoVWrJBnVhkdUGxmpT4SbhjFGplSSvPqKERPFuEBTk0KrV8/8B7FtxbZuVXJXD6vzAAAWpHKurKvHr1KCu8mUEtyWFYotpQQHAAAALATGM3KH3emnzg25cocpz2F2WbalaGt02qlzsaXj5TnOUQMAAOABVIeG6hPk0mkVT52SqU5/r8Z8FX70UTmplGKpboXWruX4GVhEjOep8NnnGt23T5VMxu84UziplJr37FZk3Tq/owDAQysMFTRwZECZwxld+uKSqm7V70gzJhAJaEVqxWQRLrE84XckALdBKQ7AfaMUh7tx+/o0+P/+/0jGqHzhgjzXlR1zFGhdotroqLxc7r62d3MxzrJtWdH6mOHQmjUKJGbmIDPQ0qLEK68o8eorrCQGAFhQKMHdihIcAAAAgJt5Na8+ee7HU+fGH08U6IojxUX/8xRml2Vb9clzS28qy/2oQBdbGlOkOcLNvwAAALgjr1hUsb9fhXRa7rFj8sayfkeaEYHWVjmpbsVSKUWfekpWOOx3JAAzwNRqyh86rLF39qly+YrfcX5gWYo9+6yad7+t8Nq1fqcBgAdmjNH1M9eVOZxR5lBGN76+4XekGRVfHq+X4HZ0aEX3CgUjQb8jAbgLv0tx/C0BAAvQ6Hu/liRVb9yQVyjIeJ68UlnewMADbc+yLCkSkXFdGc+TKhVZoZBqQ0MNL8VFn3pKiZ6dim3dKivItykAwPxXzpV19cRVXUlTgpuQXJ2sF+BSlOAAAAAA3MoO2PVyUdv0Pyt4NU/F4eIdp85NPKY8h0Yxnqn/t3W9oCEN3fF1VmC8PDfN1LlYG+U5AACAxcqORhV79lnFnn1WxvNU/vZbFfr65Kb75tx0pYdRGx5W7sAHyh34QFY4rGjXRsW2bpWzZYsCzc1+xwPwkEy1qtxHH2ns3fdUvXbN7zg/sCzFd2xX89tvK7R6td9pAOCBlHNlXfriki4euqhLn12qn+NeoCzb0rKuZVqzY406tneoeW0z50wB3BfaBgCwwJQvXlTp7FnJGFWvXpXnuvXVtmq1h9quZVlSOCxTLstUq7JCIXmFgrxSSXYk8nDbdqJK/PQFJXt2cjICADDvlfM/mgT3NSW4yRJc9wot37Jc8WVxvyMBAAAAWADsgF0vF91loQ2v6skddqedOjdZngMawNSMCtcKKly7e3luoih3p6lzzhKH8hwAAMACZtm2Ik88ocgTT6j1j/9YlcFBueMFueKZ01LN8ztiQ5hyWe7RtNyjacmyFF7XqVgqJSeVUqijg+NdYB4x5bJyH36o0ffeU21oDk0rCthK/PSnanrrLYVWrPA7DQDcF2OMRr8fVeZQRpnDGQ32D8rUFu7NRpHmiFZvW62O7R1a9ewqRZIPdw8ygMWNUhwALDD5w4clSbVcVjJGsiwpEGjMxgOB+vaMkanVZAUC8kZHZbe3P9DmQms6lOzZpfhPdsiORhuTEQCAWUYJ7lbJVUkt716ulamVlOAAAAAA+M4O2oovi9/1ZxOv6sm94U6ZOndzga5wvaDijSLlOTSMqRnlB/PKD+anfZ0dtH+YPLf0h2lzzpIfps45bY4iTZTnAAAA5rtQe7tCP/uZmn72M3mFgtwT/XLTabnHjsnLT3/cOG8Yo/K351T+9pxG/vr/q+DSNjnd9YJc9MkNskIhvxMCuA2vVFLugw809t6vVRsd9TvOJCsYUPyll9T85psKLlvmdxwAuGe1ck2X05eVOZzRwOEB5a7k/I40o5Y8sUQd2zvUsb1DS59cKsvmPCaAxqAUBwALTPnbc5IkL5eXbFtWpHEXwa3xgp2pVuuT5wIBecX7uwHECgYUe+45JXb2KLL+CS7QAwDmnXK+rMETg5MluKGvhijBjZfgVnSv0IotKxRvpwQHAAAAYP6xg7bi7fG7/kwzUZ6709S5icel0dIsJcdC51W9ey/P3WXqXGxpTOFkmHPzAAAA84Adiym+7XnFtz0vU6up9M039YJcOq3K5St+x2uY6vUhZffvV3b/fllOVE7XJjmplJwtmxVIJv2OByx6nusqu3+/xt7/rbxs1u84k6xQSIlXX1XTm79QsLXV7zgAcE/yg3llDtenwV0+elm1Us3vSDMmGA1q5bMrJ4twsbaY35EALFCU4gBgATHGqHzhQv3xeFkt2Nra2NV5bLu+fc+TNb4fY8xdL6AH2pYouXOnEi+9pEBzc+PyAAAwwyjB3YoSHAAAAIDF7F7Lc7VKrT55bujWAl3heqH+e9ddlcYoz6ExvKqn/NW88lfvXp6bKMzdaepcbGlM4QTlOQAAgLnCCgQU3bBB0Q0b1Ppf/VeqXLkiN51WIZ1W6auvJc/zO2JDGLeowuefq/D555JlKfLEE3JS3Yp1dyu4ahXHp8AsquXyyv7ud8r+zd/MqUmVViSiZE+Pmt54nXvQAMx5Xs3TtVPXJotwI+dG/I40o5Krk5MluOVblisQCvgdCcAiQCkOABYQUyxOnoTwymVJUmDJEtWy2cadAB0vxU1sz9Rq9ceB2x+8Rru6lNy1S86WzbLu8BoAAOaSSqGiqyeu/lCCO0sJLrEyUS/Ajf9DCQ4AAAAA7i4QCiixPKHE8sS0r5soz02W5sYLczdPnStcL6icLc9Scix0XtVT7kpOuSu5aV9nh+wpJbnbTaBz2hzKcwAAAD4IrVih0BtvqOmNN1TL5VU8cVyFo0dVPH5Cnuv6Ha8xjFHpq69U+uorjfzv/0nB9nY5W1OKdXcrsn69rCC3PgIzoTY2prHf/lbZ/ftl3KLfcSZZTlRNP/uZkj//uQKJ6c+1AICfSmMlDXw2oMzhjAY+G1jQ53XtoK32ze3q2N6hNTvWqKmjye9IABYhfjIEgAXEVKs/fDFeWrOCQQWam1UbHm7MTm53YdtMbQrYsZjiL72o5M6dCq1Y0Zj9AgAwQyjB3YoSHAAAAADMnnsuz5XHy3PTTJ0rDFGeQ+N4lXsrzwXCgbtOnYu1xRSKhyjPAQAAzIBAIq74jh2K79ghU62q9NVXKqTTco+mVb12ze94DVMdHFT2/d8q+/5vZcdiim7epFgqpeimzQokuJYFPKzq8LCy77+vbO8BmfLcObdgx+Nqev3nSu7aJTvO/+sA5h5jjIbPDdenwR3K6Nqpawv6viNniaPV21arY0eHVj2zSqFYyO9IABY5SnEAsIBMWQXLtiXPk/E8BVpbG1eKM7c5Wh+/iB1eu1bJ13Yptn277HC4MfsDAKDBflyCu/HVDRlvAZ+Nugc3l+CWb1l+1xsxAQAAAACzLxAOKLEiocSK6X9mq5aq9ZLcNFPn3CFX5dzcucEN81utXFPuck65y/dWnptu6lxsaUyhGOU5AACAB2UFg4o+/bSiTz8t8yd/ouqlSyqk++Sm0yp9883t7/mYh7xCQYXDR1Q4fESybUU3rJeTSslJpRRavtzveMC8Uh0a0th7v1bu4MGpC7L7zG5KqumNN5TcuVO24/gdBwCmqBarunz0si4euqiBIwMqXCv4HWnmWFLbhjat2bFGHds7tOSJJZy7AzCnUIoDgAXEikZlx+Py8nnZ4bC8YlGmVFIgmZQdi8krNODAe3wCnWy7vs9gUPGXXlLTa7sU7uzkYBcAMOdQgrsVJTgAAAAAWLiCkaCSK5NKrkxO+7qJ8twtU+fGH08U6Cr5yiwlx0J3z+W5SKBeklvq3HHqnNPmUJ4DAAC4C8uyFFq9Ws2rV6v5rTdVGxuTe+y43HRabv8JmWLJ74iN4Xkqnj6j4ukzGv6Pv1Jo5crxgly3Io8/LisQ8DshMCdVBgc19u57yn/8kUy15necSYGWFjW9+aYSr77CouwA5pTs5awyhzLKHM7oSt8VeRXP70gzJhQLadXzq9SxvUMd2zoUbYn6HQkA7ohSHAAsIJZlKbx2rYqnTsmKRqViUZ7rKpBMKtDa2tBSnBUKKdjerviO7Vr2D/704bcLAECDVAoVDfYP6nL6MiW4cYkVCS3vXq6VqZWU4AAAAAAAku6zPHeXqXOF6wVVCpTn0Bi1Uk3ZS1llL2WnfV0gErjr1LlYW0xBJ0h5DgAAQFKgqUmJF19Q4sUXZCoVFc+ckZtOq5BOqzZ0w+94DVO5fFmVy5c19utfy04k5GzZIqe7W87mTUybAlT/f2T0nXeV//TTHxZHnwOCS9vU9NZbSrzwgizKcADmAK/q6eqJq8oczmjg8IBGvx/1O9KMal7bXC/Bbe9Qe1e77KDtdyQAuCeU4gBggQk/tk7FU6dkJ+KqjYzIGx2VWbZMgWRS1WDgoVb2MaZeKLAjEYXWrlUgmVRkw4ZGRQcA4IFMlOAmJsENnR2iBDdeglvRvUIrtqxQYgUlOAAAAADAgwlGgkquSiq56i7luWL1h7LcHabOuUMu5Tk0TK1UU3Ygq+zA9OW5YDSo2NKYokuik0W5W8p0S+qT5wAAABYLKxSSs2mTnE2b1Pp3/64qmYzco0dVSKdVPnfe73gN4+Vyyn/yifKffCIrGFDkyafkdG9RLJVScNkyv+MBs6qcyWh03z4VjnwmmblzPT3Y3q7m3W8r/pOfyApySzMAf7nDrgaODChzOKNLn19a0Ocy7ZCtFakVk0W4uy2eBgBzFUeQALDAxLdv19g77yqQSKoaDMpUq/JGRxVoaVGgpVXV69fve5tWIKBAS4tk26peuyYrGFQgUb+5Pr5jR4M/AQAA06u44yW4NCW4CfH2uFakVtRLcN2U4AAAAAAAsy8YDappdZOaVjdN+7qKW5E75N526lxhqCD3ev33FvINJ5hd1WJVY5kxjWXGpn1d0AlOmTJ3u6lzTpujkEN5DgAALCyWZSm8Zo3Ca9aoec8e1UZG5B47psLRtIonT8qUy35HbAhTranY369if7+G//1/UGhNh5zubsVSKYUfe4zpwliwyt99Vy/DffGl31GmCK1apebdbyu2bZusQMDvOAAWKWOMhr4aUuZwRpnDGQ2dGfI70oyKLYtNluBWbl2pYJQqCYD5j7/JAGCBCa9Zo8iGDSqdPavAkiWqDg6qOjgoOx5XoKXlvkpxtuMo0NqqQFNSplpT6Xx9NbDAkiWSZSmyYYPCHR0z9VEAAJB0UwluYhLcGUpwlOAAAAAAAPNVyAkp1BFSU8ddynOFSr04N83UucL1gqrF6iwlx0JXde+tPBeKheS0OVMnzf1o6lxsaYybigAAwLwVaGlR4uWXlXj5ZXnlskqnTqmQ7pObTqs2MuJ3vIapXMyocjGjsXfeld2UVKy7W04qpWhXl+xIxO94wEMrffONRvfuk3vsmN9Rpgg9skbNu3cr9txzlFEB+KJSqOjSF5eUOZzRwJEBuTdcvyPNHEtatnGZOrZ3aM2ONWrpbOHvXgALDmfiAWABan7zFxo8e1bBtiXysll5rqvKpUsKrVkjO5mUl83e+c22rUBTkwKtrbKjUUmS8TxVLl2SajXZjqNg25L6ft56czY+DgBgkaEEdytKcAAAAACAxSYUCykUu4/y3PikuZsLdIXrBRVvFJW/lletVJul5FjoKoWKKoWKxi7eW3lusjR3U2Hu5gl0wQiX7AEAwNxlh8NyurvldHfL/Dd/T+XvvpM7XpArX7jgd7yG8cayyn34kXIffiQrGFR049NyUik53d0KLlnidzzgvhTPntXof96r4smTfkeZItzZqeY9e+SkuilkAJhVxhiNZcbq0+AOZTR4YlBe1fM71owJJ8Na/fxqdezo0OrnVivSRNkfwMJmGbO4by4F5iPLsjZK6p/4ur+/Xxs3bvQxEeai6//iXyh/6LBMqaTyd9/JeJ7sWEyBlpZ6we1HrEhYgZZWBZqbp4ykN5WKKpcuySsUZAUCCq9dKysSUXzHdi397/672fxIAIAFquJWdO3ktckS3PUz12Vqi/vnlHh7XMu7l08pwXFhAAAAAACAB2OMUdWt3nHq3M2PKc9htoXioSkludtNnXPaHMpzAABgzqneuCG3r16QK548JVNdmFOcw2vX1ouBW1MKP/oo1+wwJxljVOw/qdF9+1Q6e9bvOFNEnnhCzX+wR9GuLv7/ATBrapWarh67qouHLmrg8ICyl6YZJLEAtKxr0Zoda9SxvUPLnl4my+bvWwCz5+TJk+rq6rr5qS5jzKyt0EApDpiHKMXhXtRyOV3+R/+DaiMj9Ulx338v43lSICDVajLGyLJtBRKJ+lS4eHzK+40x8kZHVRkclGo1WYFAfdKc4yjQ0qKV/+T/qUCCKTUAgPtXLVanTIKjBEcJDgAAAACAucAYU588d9OkuSmPb7hyr9e/pjyH2RZOhOW0OdNOnXOWUJ4DAAD+8EolFfv75abTKvT1yRtbmDeeB1pa6gW5VLeiGzfKDof9joRFzhgjt69Po/v2qfztOb/jTBF96ik179mtyFNPce0bwKwoXC/Up8Edzujyl5dVLS7Mwr4kBSIBrXxmpTq2d6hjW4fi7fG7vwkAZgilOAD3jVIc7lX54kVd/Sf/VF4+L1MqqXL5sjzXra/OZVkKtrXJTiRkRSKybFvG82RKJXmuK290dHIVL9txFFq5UlYkIjse1/J/9N8rvGaNz58OADBfUIK7VWxZTCtSKyjBAQAAAAAwD02U5+42dc4dclUrU57D7Jooz90ydW788cSvgXDA76gAAGCBMsaofO6cCkePyu3rU+Vixu9IM8IKhxXduFFOqlux7m4FWlr8joRFxBgj98svNbp3n8oXLvgdZwpn8yY179mjyBNP+B0FwAJnPKNrp69NFuGGvxn2O9KMSqxM1Etw2zu0onsF53YAzBmU4gDcN0pxuB/lixc1+D/+T6qNjEgyqg7dUO3GjcnC23SsYFCBJUsUbFsiyVKgpUXt//f/G4U4AMC0KMHdihIcAAAAAACLjzFGlXzljlPnJp+7XpBX8fyOi0UmnAzXS3JLndtOnZt4HAhxgxUAAHg41WvXVEin5fYdU+nMaZnqwlw4IryuU7FUSk4qpdCaNVwLxIwwnqfCkSMa3feOKgMDfseZwtmaUvPuPYqs6/Q7CoAFrJQt6dLnl5Q5nNHAZwMqjZb8jjRjrICl9k3tk0W45keaOb4AMCdRigNw3yjF4X7VcjkN/7t/p/yhw/UnjFEtl5OXy8kUi/LKZcnzJNuWHQ7LikZlJxIKJBLS+EF0fMd2tf7dv1t/DgCAm1SLVQ2eHNSVNCW4CbGlN5XgUpTgAAAAAADAnRljVM6Vf5gwd+P2U+cKQ5TnMPvCyfD0U+eWxuQsoTwHAADujee6ck+ckJvuk3vsmLxczu9IMyLQtmSyIBd98klZoZDfkTDPmWpV+UOHNPrOO6peuep3nB9YlmLPPafmPbtZZB3AjDDGaOS7kclpcNf6r8l4C/eepGhLVKu3rVbH9g6tem6VwvGw35EA4K4oxQG4b5Ti8KDcvj6Nvvdrlc6evef3RDZsUPNbb8rZsmUGkwEA5pNqaeokuKEzQ/Kqi/uGrCkluO4VSqykBAcAAAAAABprojx3y9S58cc3F+gW+7kazL5IU2TaqXMT5Tk7aPsdFQAAzBHG81T6+hu56bTcdFqVy5f9jjQjrGhETleXnNRWOVs2K9DU5HckzCOmUlHu44819u57ql675necH1iW4jt2qPnttxRavdrvNAAWmGqpqivpK5NFuPzVvN+RZtSS9UvUsb1Da3asUduGNu43AjDvUIoDcN8oxeFhlTMZ5Q8dUvnceZW/+05e/ocfGux4XOFHH1V4XafiO3Yo3NHhY1IAwFxQLVV17eQ1XU5fpgQ3LrY0puXdy7Wie4VWplZSggMAAAAAAHOGMUblbPmOU+cmHlOegx8izZFpp87F2ijPAQCwWFWuXh0vyPWpePas5C3AY1XLUuSxx+Rs3apYqlvBVau4xojb8spl5Q4e1Nivf6PajRt+x/lBwFbihRfU9NZbCi1f7ncaAAtI7mquXoI7lNGV9BXVyjW/I82YUCyklc+sVMeODq1+frVibTG/IwHAQ6EUB+C+UYpDIxljZIpFmWpVVjAoKxrlhBsALHITJbiJSXDXT19f9DdIOW3OlElwyVVJvl8CAAAAAIB5zRij0ljprlPn3BuU5zD7oi1RRZdEp06au7lMt8RZ0OU5Y4yqblW1Sk2BUEBBJ8j5SADAolLL5VU8cVxuX5/cY8flFQp+R5oRwWXL5KRSclLdim7YICsY9DsSfOYVi8p98EG9DDc66necSVYwoMTLL6vpzTcVXLrU7zgAFgCv5unayWu6eOiiBg4PaOS7Eb8jzaimjiZ17OhQx/YOLd+8fMGezwCwOFGKA3DfKMUBAIBGqpaqunbqmq6kKcFNoAQHAAAAAABQZ4xRabR0x6lzhesFFW8UVRgqyNS49oxZZEnR5ujklLnbTp1rc+S0zo/y3PC5YZ0/cF7XTl/Tja9vqJwtT/5eOBnWkieWaNlTy9TZ06nWzlYfkwIAMLtMtarSV1+p0NcnN92n6tWrfkeaEbbjKLp5k2KplKKbtyiQiPsdCbPIc11l9+/X2G/el5fL+R1nkhUOK/HqK2r6xS8UbOUYFMDDKY4WNXBkQJnDGV36/JLKufLd3zRP2UFby7uXq2N7vQjXtLrJ70gAMGMoxQG4b5TiAADAw5gswU1MgjtFCc5pcyYLcCu6Vyi5mhIcAAAAAADA/Zgoz91p6tzEY3fIlfG4Ro1ZZNUnz02ZNPejqXOxpTFFW6OyA7NfnssczujEr05o8PjgPb+nfXO7Nv3JJnVs65jBZAAAzD3GGFUvX1YhnZab7lPp66+lhXj/o20rsv4JxVIpOamUQitW+J0IM6SWyyv7298q+7vfzamJiFY0omTPLjW98boCTRQ5ADwYY4xufHNDmcMZZQ5ndP30dWkBftue4LQ5kyW4lc+sVMgJ+R0JAGYFpTgA941SHAAAuB+U4G5FCQ4AAAAAAMAfxhgVR4qTpbmbC3SF6wW5N1y51125NyjPYZaNl+cmS3M3FeZunkAXbWlMea40VtKRvzyi873nJf1QLC2NlVRxK6oWq/WbBS0pGA0q5IQUaYoo0hyZPJfZ2dOpbX+2TZGmyEPnAQBgPqpls3KPHZebTsvtPyHjFv2ONCNCK1fIGS/IRR5/XFYg4HckPKTa2JjG3n9f2d7eOfXfre04Sv7sZ0r+/GcKJBJ+xwEwD1Xcii5/eXmyCOcOuX5HmjmWtPSppZNFuCWPL+HeIwCLEqU4APeNUhwAAJgOJbhbUYIDAAAAAACYX4xnVBwtTjt1bqJEt5BXGcccZElOq/NDce42U+ecNkdOqyPLvv05yOFzw/rdn/+uPjlRRoXBgvLX8vIqdz+Pa4dsxZfFFWuPyZIlp83Ra798Ta3rWhv9SQEAmFdMtari6TNy+/rkpo+qen3I70gzwo7H5WzZLCe1Vc6mLtmxmN+RcB+qw8Ma+81vlDvwgUy57HecSXYioabXf67krl38NwXgvo0NjE2W4K72XV3Q9yiFE2Gtem6VOrZ3aPXzqxVtifodCQB8RykOwH2jFAcAAG5GCe5WzhJHK1KU4AAAAAAAABY649Unz91p6tzEc5TnMOus+nnKH0+d8yqe+v5Nn7yKJ1MzGhsYU9WtSpLsoK1oa1TheFhBJyjLtmQ8o6pbVTlfVnG4OHnuNxgLquWRFgWjQYWTYb3+z1+nGAcAwDhjjCqZzHhBLq3St+ekhXifZMBWdMOTcram5HR3K9Te7nci3EF1aEhj772n3MHfy1SrfseZFGhuUtMbbyixc6fsKMUOAPfGq3q6evxqvQh3KKOxzJjfkWZUy6MtWr19tdbsWKNlG5c1ZHo8ACwklOIA3DdKcQAALG61cm1KCe7aqWv3tILwQuYscbS8e7lWdK/QytRKSnAAAAAAAACYwnhG7rA7ZcLcLVPnhly5w5TnMHO8qqfrZ+qLmnk1b7IMZ9mWQomQwvGwAuGAAqGA7JCtQCigQKT+jyVr8r/j7KWsTM3Isi21PtaqcDwsp83Rnn+9R5GmiM+fEgCAuac2Oir32DEV0mkVT/TPqQldjRRavVpOqluxVErhxx6TZXPTvt8qg4Mae+dd5T/5WKZa8zvOpEBrq5re/IUSr7wiOxz2Ow6AecC94SpzpF6Cu/zlZVUKFb8jzZhAOKAVqRXq2NGhju0dSixP+B0JAOY0SnEA7hulOAAAFhdKcLe6uQS3onuFmjqaKMEBAAAAAADgoXk1rz55brqpc5Tn8IBGvhtRcaQo45nJGwgt21IwWp8Kd0eWFIwGFXSCCkVDsoO28tfyqrgV2battvVtCkaD6uzp1Ev/+KVZ+jQAAMxPplxW8fRpFdJpuek+1YaH/Y40I+ympJwtWxRLpRTt6mIK2CyrXLqk0XfeVf7QIcmbO9f2g0uXqumtt5R48QVZoZDfcQDMYcYYDZ0d0sVDF5U5nNGNr274HWlGxdvjkyW4FakVCkaCfkcCgHmDUhyA+0YpDgCAha1Wruna6Wu6kqYENyHaGp0swK1IUYIDAAAAAACAv7yap+Jw8Y5T5yYeF0eKlOcgSSqOFjVyfkTGGFXdqoxXn/QWdIIPdK7TGKNqsSqZemGuaU2TQk5IO//pTj2267EZ+AQAACw8xhhVLlxQId0nN51W+bvv/I40I6xgQNGnn5aTSsnp7lawrc3vSAtW+eJFje7bp8Jnn0tz6N7c4Irlan77bcV37JAVpOgB4PbK+bIufX5JmcMZDRwZqJ/TWKAs29KyrmXq2F4vwrU82sJ9SADwgCjFAbhvlOIAAFhYJktwE5PgTlKCm1KC616hpjWU4AAAAAAAADD/eFVP7rA7derc+OOJAt1keQ4L2tDXQ6rkK6qVa6qVa5KkUCw0/YS4u7h54lwgHFAgHFAoHtLq51erpbNFrZ2tP/z6aItCMaaBAAAwnerwsNzxglzx1CmZSsXvSDMivPYROd0pOaluhTs7uQ7bAKXz5zW6b5/cL4/6HWWK0KpVat6zW7Hnn5cVCPgdB8AcY4zR6PejyhzOKHM4o8ETgzK1hdsriDRFtHrbanVs79Cq51Ypkoz4HQkAFgRKcQDuG6U4AADmt1qlpuunr+ty+jIluHGU4AAAAAAAALCYeVVP7g132qlzlOfmr4pb0dDZofo0mkJFMlIgElAg9PA3JtcqNdVKNckaL9lZlto2tCnk3FqAiy+P31KWa36kWYEwN0gDAPBjXqmk4slTctNpuX1p1UbH/I40IwItLXK6u+V0dyvatVF2OOx3pHml9PXX9TLcseN+R5kivPYRNe/eLefZZ7nuDmCKWrmmK31XJotwucs5vyPNqNbHWyenwS17atlDLUwDALg9v0txzEEGAAAAZthECe7mSXATKwEvVtGWqJZ3L58swTU/0szJeAAAAAAAACxadtBWvD2ueHt82tdNlOfuNHVu4nFptDRLyXEvisP1MqOpGclIsur/zhvBDtr1882mvn0raKk4XLxtKS5/Na/81bwGDg/88KQlNXU03VKWS65Oyg40JiMAAPORHYkotjWl2NaUjDEqnz8vN51WIZ1W5fuLfsdrmNrIiHIHDyp38KCsUEjRjRvlpOoluWBrq9/x5iRjjEpnzmh07z4VT53yO84U4XWdat6zR053N9ffAUzKX8tPluAuf3m5vrDKAhWMBrXymZWTRbjY0pjfkQAAM4xSHAAAANBglOBuRQkOAAAAAAAAeHj3XZ67zdS5wvVCfSrddVelMcpzs6FSqEiq/3uR6v8eG3V+1LIs2UFbXsWTV/VkB+3J/d0TI41dHNPYxTF9/+H3k0/bQVvNa5tvKcvFl8c5twsAWHQsy1Jk3TpF1q1Tyx/+oarXr8vt61MhnVbp9GmZ6sK4FmwqFbl9fXL7+iRJ4c5OOaluxVIphR55ZNEfAxhjVOw/qdG9e1X66iu/40wRWb9ezXv2KNq1cdH/ewIgGc/o2qlryhzO6OKhixo5N+J3pBmVXJXU6u2rtWbHGi3fsrwhU9kBAPOHZYzxOwOA+2RZ1kZJ/RNf9/f3a+PGjT4mAgBgcaMEdytKcAAAAAAAAMDcV6vUJstzd5o6V7heUDlb9jvqvGWM0WD/oEzNqFKoyHhGwWiwYZPipHrZrlqsyrIthWIhWQFL7V3tM3JONugE1fJoS/2fmwpzzhKHc8AAgEXJc10V+/tVSPfJPXZMXjbrd6QZEWhbolh3fYJc9KmnZIXDfkeaNcYYuek+je7bq/K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      "text/plain": [
       "<Figure size 4200x2100 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Figure S7 -- in paper\n",
    "# PM2.5 and smoke annual averages for South America\n",
    "fig, ax = plt.subplots(figsize=(14, 7),dpi=300)\n",
    "\n",
    "ax.plot(PM25_annualmeans['year'], PM25_annualmeans[\"PM25_TIs\"],linewidth= 4, marker='o',label='Total PM$_{2.5}$, Indigenous territories', alpha=0.75, color='C3' )\n",
    "#rects2 = ax.bar(df_fires_SA[\"year\"], df_fires_SA['Brazil_count']+df_fires_SA['Bolivia_count'],bar_width, label='Bolivia', color='indianred')\n",
    "\n",
    "ax.plot(PM25_annualmeans['year'], PM25_annualmeans[\"PM25_SA\"],linewidth= 4, marker='o', label='Total PM$_{2.5}$, South America', alpha=0.75, color='purple')\n",
    "\n",
    "ax.fill_between(PM25_annualmeans['year'], \n",
    "                  0, \n",
    "                  PM25_annualmeans[\"PM25_TIs\"]-PM25_annualmeans[\"PM25_TIs_noGFED\"], color=\"C3\", alpha=0.75, label = 'Smoke PM$_{2.5}$, Indigenous territories')\n",
    "\n",
    "ax.fill_between(PM25_annualmeans['year'], \n",
    "                  0, \n",
    "                  (PM25_annualmeans[\"PM25_SA_fires\"]), color=\"purple\", alpha=0.9,  label = 'Smoke PM$_{2.5}$, South America')\n",
    "\n",
    "\n",
    "ax.set_ylim(0, 10)\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax.set_ylabel('PM$_{2.5}$ (${\\mu}$g m$^{-3}$)', fontsize = 20)\n",
    "ax.set_title( \"Surface concentrations of total PM$_{2.5}$ and smoke\", y=1.05, fontsize = 24);\n",
    "ax.set_xticks(PM25_annualmeans['year'])\n",
    "ax.tick_params(axis='x', labelsize= 20)\n",
    "ax.tick_params(axis='y', labelsize= 20)\n",
    "\n",
    "ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15),\n",
    "          ncol=2, borderaxespad=0.5, fontsize = 18 );\n",
    "fig.savefig('../PP2_figs/AmazonHealth_FigureS7.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "157fa1a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "% of PM from smoke in SA: 21.45866860069342\n",
      "% of PM from smoke in TIs: 26.160911105585566\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Percentage of PM from smoke in South America\n",
    "pm_smoke_perSA = (np.mean(PM25_annualmeans[\"PM25_SA_fires\"]/PM25_annualmeans[\"PM25_SA\"]))*100\n",
    "# Percentahe of PM from smoke in Indigenous territories\n",
    "pm_smoke_perTIs = (np.mean((PM25_annualmeans[\"PM25_TIs\"]-PM25_annualmeans[\"PM25_TIs_noGFED\"])/PM25_annualmeans[\"PM25_TIs\"]))*100\n",
    "print(\"% of PM from smoke in SA: \" + str(pm_smoke_perSA)+'\\n'\n",
    "     \"% of PM from smoke in TIs: \" + str(pm_smoke_perTIs)+'\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "5a55be97",
   "metadata": {},
   "outputs": [],
   "source": [
    "#### https://stackoverflow.com/questions/16592222/matplotlib-group-boxplots\n",
    "\n",
    "\n",
    "dfpm25SA = pd.DataFrame(np.array([SA_pm25_2014['PM25'].values.reshape([-1]).T, \n",
    "                                SA_pm25_2015['PM25'].values.reshape([-1]).T,\n",
    "                                SA_pm25_2016['PM25'].values.reshape([-1]).T,\n",
    "                                SA_pm25_2017['PM25'].values.reshape([-1]).T,\n",
    "                                SA_pm25_2018['PM25'].values.reshape([-1]).T, \n",
    "                                SA_pm25_2019['PM25'].values.reshape([-1])]).T,\n",
    "                   columns=['2014', '2015', '2016','2017','2018','2019'])\n",
    "\n",
    "dfpm25SA_fires = pd.DataFrame(np.array([(SA_pm25_2014['PM25'].values-SA_pm25_2014_noGFED['PM25'].values).reshape([-1]).T, \n",
    "                                (SA_pm25_2015['PM25'].values-SA_pm25_2014_noGFED['PM25'].values).reshape([-1]).T,\n",
    "                                (SA_pm25_2016['PM25'].values-SA_pm25_2014_noGFED['PM25'].values).reshape([-1]).T,\n",
    "                                (SA_pm25_2017['PM25'].values-SA_pm25_2014_noGFED['PM25'].values).reshape([-1]).T,\n",
    "                                (SA_pm25_2018['PM25'].values-SA_pm25_2014_noGFED['PM25'].values).reshape([-1]).T, \n",
    "                                (SA_pm25_2019['PM25'].values-SA_pm25_2014_noGFED['PM25'].values).reshape([-1])]).T,\n",
    "                   columns=['2014', '2015', '2016','2017','2018','2019'])\n",
    "\n",
    "dfpm25TIs = pd.DataFrame(np.array([TIs_pm25_2014['PM25'].values.reshape([-1]).T, \n",
    "                                TIs_pm25_2015['PM25'].values.reshape([-1]).T,\n",
    "                                TIs_pm25_2016['PM25'].values.reshape([-1]).T,\n",
    "                                TIs_pm25_2017['PM25'].values.reshape([-1]).T,\n",
    "                                TIs_pm25_2018['PM25'].values.reshape([-1]).T, \n",
    "                                TIs_pm25_2019['PM25'].values.reshape([-1])]).T,\n",
    "                   columns=['2014', '2015', '2016','2017','2018','2019'])\n",
    "\n",
    "dfpm25TIs_fires = pd.DataFrame(np.array([(TIs_pm25_2014['PM25'].values-TIs_pm25_2014_noGFED['PM25'].values).reshape([-1]).T, \n",
    "                                (TIs_pm25_2015['PM25'].values-TIs_pm25_2014_noGFED['PM25'].values).reshape([-1]).T,\n",
    "                                (TIs_pm25_2016['PM25'].values-TIs_pm25_2014_noGFED['PM25'].values).reshape([-1]).T,\n",
    "                                (TIs_pm25_2017['PM25'].values-TIs_pm25_2014_noGFED['PM25'].values).reshape([-1]).T,\n",
    "                                (TIs_pm25_2018['PM25'].values-TIs_pm25_2014_noGFED['PM25'].values).reshape([-1]).T, \n",
    "                                (TIs_pm25_2019['PM25'].values-TIs_pm25_2014_noGFED['PM25'].values).reshape([-1])]).T,\n",
    "                   columns=['2014', '2015', '2016','2017','2018','2019'])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "40cd7c83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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H95xSWLBgwXu7u7vfKiwt3Hkv//tSc3Pz4aeeeuo3o2179erVcwe/jy1dunT/mjVrXvrIRz5yICLid7/7XeOdd97ZumXLlrYtW7a0NTU1HT7W5zyZuLYEAAAAoJopXAQAAAAAgDLq6elpuP7669+Vf669vf3gjTfe+Fyp+ly+fPmB9vb2g/k7cWzatGl2FpNLB3c9qfREaiamu7t7+oIFCxaN8rGj2vlv5syZY57k39PT0/ClL32pfXDi+mWXXfbC17/+9RcKCwaWL19+ICLixhtvfG7jxo1tV1xxxdxzzz13/mgLDKrl9V5++eXvvummm04Y6XWuXbu2Z/v27TMuvfTSud3d3TMuuuiieXfeeWdJCikAqD+33Xbb3nnz5jX39/c35J/fsWNH84IFCxYtXbp0/6c//enes846a3+pixhPPvnkg+3t7QdfffXVqYXxFLN9+/YZZ5111vxPfvKTvY899tjOIg/pX7t2bc/mzZtbL7roonn9/f0NV1xxxdzdu3c3FvtuvWzZslOeffbZxp/+9KdPD36XGLR8+fIDa9as6f3617/+wkc/+tH53d3dM7q6ulrnzZvXvGfPnl9nkXPL9T2nXAo/w/zj9vb2g6NpY9u2bU1/8Rd/cXJ/f39De3v7wS1btuwZ7rPJL2K94oor5m7evHn2ww8//HS1vB+V4NoSAAAAgGqncBEAAAAAAMroU5/61Lz8Sb1NTU2H77///qdL3e/nP//5lzZs2NA+eFy48854bdq0afZnP/vZl7Joi8rp6Og49OijjxbdFWewYG7w+Fvf+tbewR1wRnL88ccfc5fCfD09PQ0f+MAH3rtv377Gpqamw8WKCopZu3Ztz1lnnbX//PPPP3mwwOBYz62G1zu4s9Cjjz76m2O9zuXLlx946qmnfrNs2bJTduzY0dzV1dX6gQ98YMY//uM//mYyT9YH4Nja2toO//CHP9x97rnnzi/28x07djTnCsGivb394Cc/+cneM888c38pCofWrl3bM7hLXk9PT8NIOzB2d3dPP+uss+Z/97vf3XusnYbXrFnT+/LLL++94oor5kZE3HTTTSeceuqpB/Kft2zZslMiIp599tknR2qrra3t8MMPP/z0vHnzFvX39zf09/c3fPSjH50/lt0Diynn95xSefjhh58e6TNbtWpVzwUXXPDK8uXLD4zm+8lgUWbEwC6Ljz322O9GenxbW9vhxx577HcrV66c19XV1drd3T3jAx/4wHsn8/ch15YAAAAAVDuFiwAAAABQxV4//Gb8+ysHplc6DiaPOcfPODStYUqlw6hbq1evnrtjx47mweOmpqbDv/jFL7pLvbtNRMTf/M3f9ORPLo0YmCw8OHl8vLq6ulqfeuqpX08sOqrBcBPg58yZczC/kO8jH/nIgawny3d3d0//yEc+0tHf398wnv8uOjo6Dj388MNPDxYEnHbaae89VkFgJV/v5s2bW7ds2dJ2zz33jKnw4Cc/+cmewUKKffv2NWZRSAHV4M3XX48Dzz7rOy9lM+Okkw5NmTat0mGUzTnnnNN/zz33PD1c8eKgffv2Nd50001vFaYtXbp0/8c//vH9nZ2d/Vnnwra2tsM33njjc4888khzsd2NzzzzzPlXXXXVvmMVLQ5au3ZtzzXXXNM+WMT15S9/ee7gcy+//PJ3v/rqq1NHmzPb2toOf+lLX/o/g9+du7u7Z2zevLl1tLEUqsT3nFIY/MwKCxeH2zlyJOvXr3/n4Pvb3t5+8FhFi/nuu+++PQsWLHhvd3f3jMn8fci1JQAAAAC1QOEiAAAAAFSxf3/lwPRPfPvhRZWOg8njoa989Ncnzz6u5BMdJ5vu7u7pf/VXfzVkYunSpUv3/+QnP9lTrt1B2traDi9dunR/fgx3331360Qml27evLm1vb39YDkmx1LfzjzzzPmDhQY//OEPd4/nd6qtre3w/fff//SCBQsWRUScdtpp733qqad+XY2/n1/+8pfnrlq1qmesu1m1tbUd/u53v7v3oosumhcxUEhx+eWXv/vGG298rjSRQnkcePbZ6f+/FSt856Vs/p8HHvj1cfPmVV1+KKVzzjmn/9FHH/3NqlWr5u3bt69xNM8Z3I1xw4YN0dTUdPg//+f/vP/SSy99KcvdGN/3vvcdKCxcXL169dyTTjrp4Fi/p37yk5/s3bJlS1tERH9/f8PmzZtb/+zP/mz/TTfddMJYi6FWr17dm1+YtXHjxhPGW7hYT99ztm/f/tZn1dHRcWDr1q1jfj3btm1ryn9vx7ND4KZNm/aedtpp740Y+D60fv36d37jG994cazt1CLXlgAAAADUEstmAwAAAABACfT09DRs27ataeXKlfMWLFiwaHBSZ1NT0+Fvfetbex977LHflWti6aCLL754yETSHTt2NPf09DSMt71bbrml7fOf//xLE4+MyWzlypVvFVB0dnb2TqQYoqOj49Bll132wuDx+eeff3IWMWZp8+bNrf39/Q3r16//P+N5/po1a3rb29sPDh4X7noEAMNZvnz5gWefffbJr33ta/uamprG9D20v7+/oaurq/Xcc8+df9JJJy3cuHFjWxYxzZw5843841/84hcztmzZ0vaTn/xkz1jbWrFixf784wceeKD5b//2b0+47LLLXhhrMVRHR8eh/HxbbFfI0ai37zkbNmw4ISJi1apVPU899dRvxvq+9vT0NPzFX/zFW3F3dnb2jqdQbfny5QeWLl361ue9YcOG9olc11Q715YAAAAA1Co7LgIAAAAAwDAeffTRpssvv/zdo3nsq6++OrW3t7fh1VdfbXj22WcbC3eyaW9vP/jlL3/5hYnsQjFRa9as6b3ooouGnPvOd77TNp7dSXp6ehp27NjRPJ5J5TBo48aNbV1dXa2Dx1/72tdeGOnxo/H1r3/9hcFivmrckfDOO+9sjYhYsGDBovb29oPXXHPNc2Pdwem0007r37Jly1v/j9m4cWNbJf/fAkBt+cY3vvHiN77xjRe3bdvWdOeddx5/7733tg7uCDga+/bta7ziiivm3n333a0T3eVt1qxZQwoXv/vd757Q2dnZO542P/zhD/8h/3jwdb300kv/NJ7YTjrppIP53+m7u7unj6XIrt6+51x++eXv7urqav3Wt761d7zfO/78z/98bv7v2re//e19443n4osv7snf8W+81zXl4tpyeK4tAQAAAOqXwkUAAAAAABjGvn37Gse6m1lTU9PhmTNnvtHR0XFgzpw5Bz/xiU/sP+uss/aPZyeRUli1alXPli1b3toh5wc/+MHs8Uwu/c53vtO2dOnS/eXe2YP68t3vfvet/746OjoOLF++/MBE22xrazvc2dnZO1gocNNNN53w9a9//YVq+V198skn39qxad++fY0XXXTRvA9/+MO/Hsv/I1asWLE//7/j3bt3N470eAAo5pxzzunP7QC4t7u7e/odd9zR+rOf/aw5vxhsJDt27GieN2/eol/84hfdWX3X3bdvX+MNN9ywdzzPfcc73jEk1/f39zdM5PvqzJkzhzzv6aefbhzL66yn7zmrV6+eu2XLlrbvf//7e8a64MKgnp6ehvxCzvb29oMT+b0pLJwb73VNubi2HJ5rSwAAAID6pXARAAAAAACG0dHRceCpp576TaXjyNIFF1zwSv7k0n379jVu3759xlgnUv/gBz+Yfc0111TNLnYRA5OhIwYmdFc6jvHGMNadfGrZxo0b2/J3jzn99NP3Z9X2Jz7xif35E+P/9m//9oRq2XXx1VdfPer+3E9/+tPmjo6OUe+Yc8oppxzMP/7nf/7nGcM9FgBGo6Oj41Cu4OjFiIht27Y13X///c2PPPJIc3d397B5pr+/v+HMM8+c/+yzzz6ZVSy5YsoxK/b96+Mf//i4v1+0trYOaa+3t3fUc2zq6XvOypUr53V1dbVOpGgxYiDO/ONPfvKT425rUHt7+1u7Yu7bt69xIt/DS8215fBcW44ch2tLAAAAoJZNqXQAAAAAAABA+Zxzzjn9TU1NQyY+fu9735s9lja2b98+Y9++fY0TmbiclY0bN7YtW7bslCRJlsyePfv9s2fPfn+SJEuam5vfv3LlynmbN29uPXYr2frUpz41L0mSJcuWLTtl/fr179y2bVvT4MTXQt3d3dM3b97cunr16rnNzc3vP//8808ud7yVkr8LUUTEmWeemdmE/rPOOmtIW7fffvuYfsdLaeHChX8oPPeRj3xkTJO7jz/++Dfyj4sVQwLARJxzzjn9N95443NPPfXUb1566aV/+v73v7+ns7Oz6He/ffv2NS5btuyULPrt6OiY8K6E+To7O8dVBBkRMXPmzCH59uWXXy76fa6Yevmes2zZslO6urpa77nnnqcn+t2/cLfBLN6ThQsXDvl9+fu///tR7RZKNlxblp5rSwAAAKDWuYkJAAAAAFVszvEzDj30lY/+utJxMHnMOX6G1fgngc9+9rMv5U8cvvfee1sjYu9on/+9731v9qpVq0a9O1wpbNu2rekv/uIvTu7v72/o7Ozsveyyy1449dRTD7z88ssNDz30UHNXV1fr4J8vf/nLh6+66qp9a9euLWvMO3bsaN6xY8eoJ0+3t7cf3Lp16+5SxlQtenp6GvJ3IYqIGOvOLCMp3Fmkv7+/YTy7v5TCdddd99xpp5321u9FZ2dn71jjesc73lGVOwnBeM046aRD/88DD/jOS9nMOOkk33nHoK2t7fCaNWt616xZ09vd3T39/PPPP7lwF8YdO3Y0r1+//p25XRvH7X3ve1+mufpP/uRPDh77Udmqh+85PT09DR/96EfnP/vss42PPvrobyba9vbt24/atXP+/PkT/myWLFnyh/zdJx9//PEZ1VAAN5m4tiwP15YAAABArVK4CAAAAABVbFrDlDh59nEm1QKZ+uIXvzhkcml/f3/D5s2bW0c7yffee+9t/elPf/p06SIc2fr169+5YcOG9s7Ozt7bbrttb1tb25AirrVr1/b09PQ0fOlLX2rfsmVLW39/f8MVV1wx9+6772597LHHflepuEeydOnS/T/5yU/2FL6WenXrrbcetVtJ1q+9vb39YH7RwO23395aDYWLy5cvP/DSSy/90/bt22fMnz//YGHxwXjs379/1DtAQTWaMm1aHDdvnu+8UAM6OjoOPfXUU79ZuXLlvPyCsYiI66+//l0TLVws3OVwoirx3arWv+f09PQ0fOADH3jvvn37MilajIjo6upqKjyXxXeglpaWIe+rXajLz7Vl9Zls15YAAABAdZtS6QAAAAAAAIDy6ujoONTR0TFkAvKdd9551ATrYrZt29Y0c+bMNypVALZ58+bWDRs2tH/ta1/bd9999w07GbOtre3wHXfcsfeyyy57YfDcjh07mpctW3ZK+aI9to6OjgP33HPP04899tjvJtPE0oceemjIbiHt7e2Z74Z00kknDWnzkUceGfUOJaXW1tZ2+JxzzunPYsI+AFTCfffdt6fw++RgwdJE2p01a1amhYuVUMvfc7q7u6fPmzdv0WBR5O233z6hz3PQz372syHxNTU1ZfK9d9asWUPa6e3ttZhDmbm2rB6T9doSAAAAqG4KFwEAAAAAYBJas2bNS/nHXV1drT09Pcec6Ltp06bZn/zkJ0e1e0bWenp6Gi666KJ5q1at6hntbj433njjc0uXLt0/eLxjx47m9evXv7N0UQ7o6Og48K1vfWtvZ2dnb/5k9aampsMdHR0HLrvsshfuueeep5966qnfnHPOOf2ljqfa/Pu//3vjsR81MTNnzhwyWffZZ58teZ9Z2rZtW9P69evfuXr16rnLli075aSTTlp40kknLWxubn7/7Nmz31/p+ADg4YcffrqwAG3jxo0nDPf4csuqOG6savV7zvbt22d85CMf6ejv73/rmuCmm246Yfv27TMm2nbhToj9/f0NSZIsmeifiy66aN5EY2PiXFuWlmtLAAAAoJZNPfZDAAAAAACAevOXf/mXvVdcccXc/HO33npr69q1a3uGe05PT09DV1dX61NPPfXr0kd4tC996UvtERF33HHH3rE877rrrnvutNNOe2uXlw0bNrT/zd/8TU8pd6GYM2fOwbVr1/aM9H5OZvv37x8ykbm5ubnkhQX5k/CrUXd39/Qbbrhh9iOPPNLc3d39VoFAR0fHgdNPP33/pz/96d73vOc9B9va2g739PQ0nHvuufMrGS8AtLW1Hb7qqqv25X+n7O7untHT09MwmXf7qsXvOdu2bWs699xz5y9dunT/xz/+8f0bNmxoH/zZqlWr5j377LNPTqT9wsLK9vb2g/fff//TE2mzmHe84x2T9veuklxburYEAAAAGI7CRQAAAAAAmITa2toOd3Z29nZ1dbUOntu8efPskSZD3nrrra0dHR0HOjo6DpUnyqHuvffe1ssuu+yFsT5v+fLlB9rb2w/u27fvrQnTx5pIS2nlfxblVI2FFJs3b2695ZZb2nbs2PHWBOilS5fuv/jii3vWrFlTdAea0exgA8Dktn79+nfu3Lnz7ffdd9+eUvazdu3ansKCpe3bt8+YzLt+1dr3nM2bN7dedNFF8zo7O3sHf1/uueee4wcXUti3b1/j5Zdf/u4bb7zxufHGVlhY2dzcfLhS1xRkz7Wla0sAAACA4UypdAAAAAAAAEBlXHDBBUOKorq7u2d0d3dPH+7xmzdvnr1mzZqXSh/Z/7+9+42Nq7zzBf44JjbXZQxmzZ+92AQFEjXjoNvUUhcHp7xYcRuqbJVwtZVsVCBREQkSG6Q1vLHbF9R+03ilBSQaBIq30o0tFW1j7UZJdqtWajFxutqsdrVkQAnOTZxhl8KENB7qYJvx3BfJpOOJHc/Y43/x5yNF+JycOfOcydjneYbf179r9fX1VSSTydK9e/feXVlZ+bW2tra7Cnn8pk2bJhTP//znP6+a6liYD4lEonTjxo1rduzYsToTWmxoaBg6ceLEfx49evTUVKFFAMjH6dOnbx4cHJyXAF1TU9OEwM6HH364IME9Ctfe3v6nO3bsWN3U1JTIDrm+/fbbA9nH7d279+6+vr6Ka8+Qn0gksqh+cQTFZ20JAAAAwGQEFwEAAAAAYJnavn37hdwi4tdee+2OyY6NxWJlsVis4umnn16QMNWpU6euFsAnk8nSjo6Omt7e3ki+j//617/+h+zt99577yvFHB+FqampGcneHhoaKnoHwYsXL15zzsXSbbG3tzeyevXqB7O7LO7bt+/00aNHT+k+BECxZDrmzbVHH310KHt7YGBgWQcXl9I8p6enp7q1tTXe3d19Nnt/NBod3bNnz4R9TU1Nqwsf6WW33nrrl9nbc/GasLCsLQEAAACYjOAiAAAAAAAsY1u2bJlQLLp///5Ji0tfe+21OzZv3nxhsQS/Qiism8+f/MmfTBh3MplULD3HYrFYWVdX16TdRyorKyf8e1y8ePGmYj9/7jnnutPP9a43W29vb2Tbtm1rs9+DBw4cOKnDIgBzIZFIzPmcZ82aNROCenNxX19KltI8Z8+ePWfb29t/N9nftbS0JKLR6HBmOx6Plzc3N6+ayfPU1tZOeI/E4/FlHW69UVlbAgAAAJBLcBEAAAAAAJax55577tPs7WQyWTpZt4n9+/ff8eyzz36au3++/Nmf/dkfcvc99NBDw5MdO5mBgYGy4o6I6XR3d1ft3r170uL2e++9d0Lx+lwU++Z28sktmC+2611vRiwWK3vyySfvz97X2toa37p1a3IuxwbA8vXBBx/MeUCssbFxwpxs9erVX8z1cy5mS2meM13Hu7fffnsge7unp6e6kM50Gffdd5+O0suAtSUAAAAAuQQXAQAAAABgGWtsbByuqamZUOj8s5/97Pbs7Uyx6UKGq6LR6OiBAwdONjQ0DEWj0eF9+/adzi2Sv57Tp0/fnL2de83Mr+9+97vXFMkXuyNUbiefbdu2fVbM88/EX/7lX96fHV6IRqPDU3U5AoBi2L9//7TdgIvttttuWzRd1BbCjTTPiUajo3v27DmbvS/3lzDk47vf/e4144vFYsJfNxhrSwAAAAByCS4CAAAAAMAy99RTT03odtHT01Odvf2zn/3s9i1btly3G8t82Lp1a/Lo0aOnTpw48f727dsLGs+ZM2cmFEZv2rRJh7sF9Bd/8RdDufv6+voqinX+yQrhN2/evKD/5n19fRWxWGzCNba0tHw8l8+ZSCRKS0pK6ov52gKwtBw8eHDOg4u5obwHHnhgWYd4brR5TktLS6KhoeHqNSWTydLm5ubrdpnONVlI7dChQ5XFGB+Li7UlAAAAANkEFwEAAAAAYJl74YUXErn7urq6rha59/T0VD/33HOf5h6zVCQSidL+/v4JhdGTdX2ZK7FYrKytre2ujRs3rqmtrV1fWVn5tbq6unXNzc2rMh1Hlpvq6upUNBqd0NXkn/7pn4pWvJ5bCB+JRFKFdFGZC6+//vodufsKLZLO+OCDD8qnPwoALnfmm+sAe+75F7KT2mJwI85z3nrrrQldF3t6eqoLncdmhx9DCOGXv/xlUYOLvb29keU6t15MrC3nlrUlAAAAsNQILgIAAAAAwDJXXV2dyi0kfvPNN6tDuFxkWlNTM7LQoa/Z+Nu//dsJXT6i0ejwfBTUJxKJ0ubm5lV1dXUPHj9+/CvPPPNMoqen5/SxY8di27dv//Q//uM/KrZt27a2trZ2/VLqiJfbVWkq58+fv6m2tnbKjksdHR3x7O3f/OY3RStezy2E/+EPfxif6tjpFOt633nnnQmFxLnfc3MxJgAIIYSXXnrpnrk8f3Yobzb3txvJUpnn5CsajY7u2bNnQnjxySefvL+QOcmPf/zjj7K333333aIGF59//vlV//qv/7pk5tQ3KmvLuXGjri0BAACAG5/gIgAAAAAAEB5//PEJnd/6+/srE4lE6Ztvvln91FNPLdmOGCGE8NOf/nRCp7s33njj7FTHFsvg4GD5hg0b1p05c6bs008//ffDhw+f3r59+4XGxsbhaDQ62tLSkjhx4sT7TU1NiXg8Xr5p06Z12Z1IFpOqqqpU9vaFCxduyudxZ86cKb/33nunDPJt3bo1md2NKBaLVcRisbKZj/SyRCJReuTIkauvZSQSSbW0tFzT+WUqc3W98Xh8QpfE++67bzTfMeUqZtcmAG58/f39lXM5z9i/f//VudYzzzyT9z33RrZY5zmz0dLSksgOpCWTydLvfe97q/J9fGNj43Du4zs7O6uv95h89fb2RuLxeHlzc/OMullTXNaWxXUjrS0BAACA5UdwEQAAAAAAbhC///3vZ9yFbbKC5x/84Ad39/f3V77wwgtLtgC9s7OzOjswtmfPnrPz0eEjFotVbNq0KXn06NFT1dXVqamO6+7uPpsp4N6xY8fqxVhgunr16i+yt8+fP5/X+2xwcLD8vvvumzLIF8K1hb7t7e1/WvgIJ8rtgvLKK68UVEw8l9dbLLldmy5evDhpuPKTTz4pDSGE22+//cv5GBcAi9fu3btXzUXH3q6urqpkMlkaQgg1NTUj27dvFxy7YjHOc2brH/7hH05nbx85cqSqkPnrW2+9NWG8r7zyyt3FGNePf/zju6PR6HA0Gp3xL4ZgImvLa1lbAgAAABROcBEAAAAAAJa4Dz74oDyEEM6fP59XZ7ipbN68eUKh+d69e+9uaGgYul5x5EzkGwSbrUQiUfriiy9e7QKzc+fOj+ejI82tt96a2rx584Xu7u68CsmzC7h37Nixei5CBbOxefPmZPb2v/3bv30ln8edO3eu/P77779ukK+xsXG4tbU1ntnu6empnk03okQiUfrqq69eDQU0NTUlCg1QzNX1ZnddCiGEM2fOzOg6e3t7I1fGefW6MoGRXCdPniwPIYQ777yzqN/DACw9yWSydMOGDeuKOc9IJBKlu3fvvjrXeu211+Y1RDfXpvrFAPlajPOc2aqurk5lX1MIhYVio9Ho6J49e66+T+LxeHlbW9tdsxlTV1dXVX9/f+V8dL5bDqwtJ2dtCQAAADAzgosAAAAAABBC+Oyzz64pzBwaGloSRX779++vuvLfO2ZznmefffbT3H3PPPPMrIoxJ3tdZ9O9oxDf+c53Vme+bmpqSvzkJz/5aD6e9/Dhw6cPHz58evojL4tGo6M1NTVXA2/f+973Vl3v+PnW2Ng4nD2+gwcPTtu5I9N96emnn562mL69vf132YXN3/rWt9bOdKzf+c53VmdCfNFodDjfAt9sc3W93/zmN4eyt/v7+ytnUkjc2tpa88Ybb5ytr6//Q/b+yYIQH374YXkkEkkVu0AcgKUlEomkWltb4/F4vHzDhg3rZhOey5Z9321qakps3bo1Od1jcuWGo2Yblso2VbB/Pi22ec6FCxcmvCaZ7syFaG9v/10kErk6t0gmk6WPPPJI3tfV0tKSaGpqurrG6OjoqMn8YoZCxWKxst27d6/auXPnx/PR+S5f1pbWlsVyo60tAQAAgOVHcBEAAAAAAEIIp06dKs/dF4/Hr9m32MRisbJMUWkymSzt7Oysnum5tm7dmswuQg4hhNl2cZnsdS1mQfpUdu3adU9/f39lCJe7fcyksHs+bdq06Wqh/5EjR6qKFSgolt27d3+c+TqZTJZ2dXVdN8z35ptvVhfSUeXw4cOnM0X98Xi8fOPGjWsKHWNzc/OqzL95NBod/vWvf32y0HNkzMX1/uhHP/o49/sruwA6H4899tjqe++9d6SxsXG4ubl5wvfmoUOHKnOP7+rqumPLli3X/R4eGBgov942AEvfX/3VX/13e3v773bu3PlxPB4vr6ure3A2c8YQLt+Tsu+7M51r5XY1nE2Xw2LPn3K7I8/0HrmY5jmDg4MTrmGyIFg+Hn744Qm/kCEWi1U0NzfnHZDq7u4+mx1efPLJJ+/v6+urKGQMsVis7Fvf+tba9evX/2G+QmT5sra0tlxIi31tCQAAACwvgosAAAAAACx7fX19FT/84Q/vmezvdu3adc9iLPRLJBKlbW1tdz300EPR7G4yL7744qrm5uZVhRb+ZjzxxBNXO2Nkd4eZiVgsVtbZ2Xl37v79+/ffMdPx5aOrq6tq7969d4dwuRtGIR0qFsrXv/71Cd3zuru7p+3yN59aWloS0Wj0aheb3bt3r5qqW2BXV1dVf39/5VtvvVVQQe/hw4dP79y58+MQLncjrK2tXZ/P914ikSitq6tb19PTUx3C5fftiRMn3p9Nl8G5uN7q6urUoUOHJoQM+vv7K3ft2jXpz55cjz322OrBwcHyzPs5Go2OZhf8v/zyyzXZr1dnZ2d1LBaraGtr+++pztnX11eR201nrr8/AZh/L7zwQiKEEH7yk598tGfPnrMhXJ4z1tXVrSs0mNTX11dRV1e37siRI1UhhNDQ0DB04sSJ92cyrt7e3kjm/p3R09NTPZPue4lEovT73//+NcG55ubmKe/h15O5v2fvm809cjHMc7q6uqpisdiE8b/00kv3FPr6JBKJ0vfee++a16Gnp6d648aNa/J9jbq7u8+2trbGQ7gcktu0adO6tra2u/J5bGdnZ/VDDz0Ura2tHTl69OipQsY/16wt/8jacmEs9rUlAAAAsLyUpNPphR4DAAAAACwJx48frwoh/CKEEG6++eZ1IYSwdu3akytXrpxxMAKYf4lEonTDhg3rMt1csgszp5PpGLFly5YF67JQW1u7/uLFizflO+6ampqR11577ezWrVuT0x99uSC0rq7uwRBCOHDgwMl8H5dIJEofeeSRtSGEMDQ0VJrvGGtqakYqKytTIYTQ0dERz/f5ptLX11exadOmdSGEsHPnzo8XW/eVqXR1dVXt2LHjave9hoaGocVWhJ35N84UvE/23mpra7uro6OjZs+ePWdbWloSU59tan19fRXPPvvsqszzNDQ0DL300ksfNzY2DmcX6ff19VW8/vrrd2QK+Qt9r09nrq43FouVff/731+VHYaoqakZ6enpOd3Y2DicfWwikSj9u7/7u6qXX365ZqqfOxs3blyTfa5oNDo8NDRUGo/Hy3O/h7u6uqoyhfTTfY9GIpHUrbfe+mVlZWWqpaXl49l2yAFgfjU3N6/q6empnmw+lHsvikQiqYcffnjoz//8z4ceeuih4a9+9asj2ffcWCxW9tvf/vYrb775ZnX2PafQuVZnZ2f1K6+8cncI03efy74Pbd++/dPJ7rN1dXXr8p131tTUjIQQQmVlZWqyoGVbW9tdP/3pT+8odGyF3iPnc56za9euew4ePFhV6DW9/fbbA9FodHSy43LnHdOd7+WXX/5outcn9/1YU1Mz8tRTT336wgsvJHLfh4cOHap85ZVX7o7H4+Wtra3x9vb23003lrlkbXl91pYLY7GtLcfGxkpPnjy5NoQQvvjii8zP30fr6+utLwAAAGAZuGmhBwAAAAAAAPNtusLdqWSKJc+cObNgXTIKHXs8Hi+/cOFC3v8/IBqNjjY0NAydO3euvJBCz08++aQ0t4NLvuPLfF3IOCcTi8XKvv3tb68NIYTFUMhciKqqqi+zt8+dOzej9+hcqq6uTp04ceL9TGF/PB4v37Zt29oQLhdeJ5PJ0kgkkiqkKHkyjY2NwydOnHi/t7c38sYbb9xx5MiRqm3btl0NVoQwsSi8oaFh6JlnnkkUO1g3V9cbjUZHjx49eqqvr6+io6Pj7nfffbcyHo+XZ4qio9Ho8K233vrluXPnyuPxePnmzZsvHDt2LDZVgODo0aOnssc4NDRUumnTpuSrr756TTemgYGBsnx/hiSTydLM6zwwMLDoOgMBkJ8f/ehHH+fuy9yLsu+1mT/5nLOhoWHorbfeOjvVvWkqAwMD5TO8D13zmEQiUdDcc7rnPX369M3zcY+cz3nOmTNnZvR6X08moJfv+c6fPz/tOSd7P3Z0dNR0dHTUhPDHeVfm6yeeeOLT559//tNC339zxdpyataWC2MprC0BAACA5UPHRQAAAADIk46LwGIQi8XK7rzzzqs/d3KDSSFcLuTOfP3JJ5+UzldRbywWKwshhOnGF8LEMYYw+3EmEonS1atXP5hMJktn0+1vNmKxWFl3d3fVbbfdlir0+bO7eWSk0+njxR1hcfX19VWcOnWqfGBgoOy2225LPfDAAyPF6nZ4vecKIYT7779/dM2aNSO5HQrn0lxebywWKzt58mT5hx9+WP773/++NHN9uR2vZiuRSJR+8sknpYX+DLnzzjtTxRwHAHOvs7OzemBgoDzfDmF9fX0VR44cifzqV7+qPHfuXHmmw1mmc15tbe3I448/fuHpp5++MNN7QrHvQ/nMiyc732RzzoW8R87VPCf3mmbz+hR6ztlaDHO/5cDacnLWlsWl4yIAAAAsb4KLAAAAAJAnwUWAxSmRSJRu2LBhXTweL9+3b9/pYnfey3cMmeLWEC53zTtx4sT70z0uo7e3N5Lp5pex2IOLAAAANxJry+ITXAQAAIDlbcVCDwAAAAAAAGA2HnnkkbXxeLz8wIEDJ/MpLI3FYmWPPfbY6mKO4R//8R8rM4WlV56jIrfzRyFqampGijMyAAAA8mFtCQAAAFBcNy30AAAAAAAAAGZq48aNa2KxWMU777zzfmNj43A+j/ntb3/7lffee6+imOM4f/78NYWk1dXVeXfkvXDhwoT/Z1NbW6u4FAAAYJ5YWwIAAAAUn46LAAAAAADAkvTYY4+tfu+9975SSGFpCCH8y7/8S8X69evzPj4fDzzwwNVi0Egkktq3b9/pQh4/MDBQlr39+OOPT9vdAwAAgNmztgQAAACYGzouAgAAAAAAS86uXbvueffddyuPHTsWi0ajo4U89uDBg1VbtmwpavHm1q1bkyGEsG/fvtPbt28v+Ny/+tWvKrO3n376acWlAAAAc8zaEgAAAGDu6LgIAAAAAAAsKW1tbXft37//jpkUlsZisbJ4PF7+jW98Y9quGJ2dndWVlZVfKykpqd+1a9c90x2/efPmC52dnXcXMp4QQkgkEqX9/f1Xi0ubmpoS1dXVqULPAwAAQP6sLQEAAADmlo6LAAAAAADAktHZ2Vnd0dFRE41Gh//6r/+6Jt/HXbx4sfTixYs3xWKxihBCWLNmzcj1ju/r66t48cUXV2W29+7de/c3vvGN4et1vPibv/mbeF1d3YNdXV1VhXTG+MEPfnC1IDUSiaReffXVeL6PBQAAoHDWlgAAAABzT3ARAAAAAABYEnp7eyOZgs9YLFaRKRSdicbGxut2xTh27Ng15/7FL35Reb2i0Wg0Otra2hrfsWPH6qqqqpNbt25NTjeO3t7eyN69e68Wlx46dOikjhgAAABzx9oSAAAAYH6sWOgBAAAAAAAATKevr69i27Zta4txrkgkMm3x5re//e2h3H2PPvroNftytbe3/27z5s0Xtm3btratre2u6x3b1dVVlbmmSCSSOnDgwMnpil4BAACYOWtLAAAAgPkjuAgAAAAAACx6k3WpmKn169f/YbpjotHo6L59+05HIpFUJBJJtba2xq/XESPb4cOHT+/cufPjjo6OmsrKyq+1tbXd1dXVVRWLxcr6+voqurq6qurq6tbt2LFjdQghNDQ0DB07diyWTxcNAAAAZs7aEgAAAGD+lKTT6YUeAwAAAAAsCcePH68KIfwihBBuvvnmdSGEsHbt2pMrV66c9rerA7D8xGKxsvb29j89ePBgVTKZLM3+u0gkknr44YeHWltbP9YJAwAAgKks5bXl2NhY6cmTJ9eGEMIXX3zx/pXdj9bX1+cV3gQAAACWtpsWegAAAAAAAAA3omg0Otrd3X02hHA2FouVffbZZzeFEMLtt9/+ZTQaHV3g4QEAALAEWFsCAAAAS5XgIgAAAAAAwBy7UkyqoBQAAIAZs7YEAAAAlpIVCz0AAAAAAAAAAAAAAAAAAODGIbgIAAAAAAAAAAAAAAAAABSN4CIAAAAAAAAAAAAAAAAAUDSCiwAAAAAAAAAAAAAAAABA0QguAgAAAAAAAAAAAAAAAABFI7gIAAAAAAAAAAAAAAAAABSN4CIAAAAAAAAAAAA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      "text/plain": [
       "<Figure size 4200x3000 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Figure S8 - used in paper\n",
    "#range of PM2.5 at the surface level in different gridcells\n",
    "fig, axes = plt.subplots(2, figsize=[14, 10], dpi=300)\n",
    "figsize=[12, 12]\n",
    "ticks = ['2014','2015','2016','2017','2018','2019']\n",
    "\n",
    "def set_box_color(bp, color):\n",
    "    plt.setp(bp['boxes'], color=color)\n",
    "    plt.setp(bp['whiskers'], color=color)\n",
    "    plt.setp(bp['caps'], color=color)\n",
    "    plt.setp(bp['medians'], color=color,linewidth=2)\n",
    "\n",
    "#plt.figure()\n",
    "#forst plot for South America\n",
    "bpl = axes[0].boxplot(dfpm25SA[['2014','2015','2016','2017','2018','2019']].dropna().values, positions=np.array(range(len(dfpm25SA.columns)))*2.0-0.4, sym='o', widths=0.6,)\n",
    "bpr = axes[0].boxplot(dfpm25SA_fires[['2014','2015','2016','2017','2018','2019']].dropna().values, positions=np.array(range(len(dfpm25SA.columns)))*2.0+0.4, sym='o', widths=0.6)\n",
    "set_box_color(bpl, 'C0') # colors are from http://colorbrewer2.org/\n",
    "set_box_color(bpr, 'firebrick')\n",
    "axes[0].set_ylabel(\"PM$_{2.5}$ (${\\mu}$g m$^{-3}$)\",fontsize = 20)\n",
    "axes[0].set_title( 'a) PM$_{2.5}$ range in South America' , y=1.05, fontsize = 20, loc='left');\n",
    "\n",
    "#second plot for PM range in Indigenous territors \n",
    "bpl2 = axes[1].boxplot(dfpm25TIs[['2014','2015','2016','2017','2018','2019']].dropna().values, positions=np.array(range(len(dfpm25SA.columns)))*2.0-0.4, sym='o', widths=0.6,)\n",
    "bpr2 = axes[1].boxplot(dfpm25TIs_fires[['2014','2015','2016','2017','2018','2019']].dropna().values, positions=np.array(range(len(dfpm25SA.columns)))*2.0+0.4, sym='o', widths=0.6)\n",
    "set_box_color(bpl2, 'C0') # colors are from http://colorbrewer2.org/\n",
    "set_box_color(bpr2, 'firebrick')\n",
    "axes[1].set_ylabel(\"PM$_{2.5}$ (${\\mu}$g m$^{-3}$)\",fontsize = 20)\n",
    "axes[1].set_title( 'b) PM$_{2.5}$ range in Indigenous territories' , y=1.05, fontsize = 20, loc='left');\n",
    "\n",
    "# draw temporary red and blue lines and use them to create a legend\n",
    "axes[1].plot([], c='C0', label='PM$_{2.5}$ total')\n",
    "axes[1].plot([], c='firebrick', label='Smoke PM$_{2.5}$')\n",
    "\n",
    "\n",
    "for i in range(0,2):\n",
    "    axes[i].set_xticks(range(0, len(ticks) * 2, 2), ticks)\n",
    "    axes[i].set_xlim(-2, len(ticks)*2)\n",
    "    axes[i].set_ylim(0, 55);\n",
    "    axes[i].tick_params(axis='x', labelsize= 20)\n",
    "    axes[i].tick_params(axis='y', labelsize= 20)\n",
    "    axes[i].vlines(x=1, color='gray',ls='--', lw=3, ymin=0, ymax=55)\n",
    "    axes[i].vlines(x=3, color='gray',ls='--', lw=3, ymin=0, ymax=55)\n",
    "    axes[i].vlines(x=5, color='gray',ls='--', lw=3, ymin=0, ymax=55)\n",
    "    axes[i].vlines(x=7, color='gray',ls='--', lw=3, ymin=0, ymax=55)\n",
    "    axes[i].vlines(x=9, color='gray',ls='--', lw=3, ymin=0, ymax=55)\n",
    "\n",
    "axes[1].legend(loc='upper center', bbox_to_anchor=(0.5, -0.15),\n",
    "          ncol=2, borderaxespad=0.5, fontsize=18)\n",
    "\n",
    "plt.subplots_adjust(left=0.1,\n",
    "                    bottom=0.1, \n",
    "                    right=0.9, \n",
    "                    top=0.9, \n",
    "                    wspace=0.4, \n",
    "                    hspace=0.4)\n",
    "\n",
    "plt.suptitle(\"Range of surface PM$_{2.5}$ concentrations\", y=1.0005, fontsize=24)\n",
    "plt.draw()\n",
    "plt.show()\n",
    "#axes[0].tight_layout()\n",
    "fig.savefig('../PP2_figs/AmazonHealth_FigureS8.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "5b3e7b95",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "boxplot info for South America total PM25\n",
      "  label  lower_whisker  lower_quartile    median  upper_quartile  \\\n",
      "0  2014       1.613332        5.199515  6.393506        7.887712   \n",
      "1  2015       1.538153        5.403583  7.335174        9.270764   \n",
      "2  2016       1.542657        5.285736  7.246648        9.247608   \n",
      "3  2017       1.537521        5.493114  6.989687        8.590122   \n",
      "4  2018       1.576909        5.121827  6.310669        7.787317   \n",
      "5  2019       1.708637        5.347713  7.286936        9.130311   \n",
      "\n",
      "   upper_whisker  \n",
      "0      11.910976  \n",
      "1      15.046642  \n",
      "2      15.184561  \n",
      "3      13.230056  \n",
      "4      11.780271  \n",
      "5      14.749748  \n",
      "boxplot info for South America smoke PM25\n",
      "  label  lower_whisker  lower_quartile    median  upper_quartile  \\\n",
      "0  2014       0.003338        0.234770  0.669466        1.528688   \n",
      "1  2015      -1.526386        0.445598  1.597306        2.898033   \n",
      "2  2016      -3.097818        0.478468  1.627525        2.865232   \n",
      "3  2017      -2.529977        0.386941  1.125013        2.370627   \n",
      "4  2018      -1.259634        0.322626  0.826006        1.579296   \n",
      "5  2019      -1.310386        0.555502  1.318210        2.745719   \n",
      "\n",
      "   upper_whisker  \n",
      "0       3.464486  \n",
      "1       6.568485  \n",
      "2       6.407425  \n",
      "3       5.342936  \n",
      "4       3.457726  \n",
      "5       6.031036  \n"
     ]
    }
   ],
   "source": [
    "def get_box_plot_data(labels, bp):\n",
    "    rows_list = []\n",
    "\n",
    "    for i in range(len(labels)):\n",
    "        dict1 = {}\n",
    "        dict1['label'] = labels[i]\n",
    "        dict1['lower_whisker'] = bp['whiskers'][i*2].get_ydata()[1]\n",
    "        dict1['lower_quartile'] = bp['boxes'][i].get_ydata()[1]\n",
    "        dict1['median'] = bp['medians'][i].get_ydata()[1]\n",
    "        dict1['upper_quartile'] = bp['boxes'][i].get_ydata()[2]\n",
    "        dict1['upper_whisker'] = bp['whiskers'][(i*2)+1].get_ydata()[1]\n",
    "        rows_list.append(dict1)\n",
    "\n",
    "    return pd.DataFrame(rows_list)\n",
    "\n",
    "\n",
    "\n",
    "labels = ticks\n",
    "print('boxplot info for South America total PM25')\n",
    "print(get_box_plot_data(labels, bpl))\n",
    "print('boxplot info for South America smoke PM25')\n",
    "print(get_box_plot_data(labels, bpr))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "61c02820",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "boxplot info for TIs total PM25\n",
      "  label  lower_whisker  lower_quartile    median  upper_quartile  \\\n",
      "0  2014       3.930599        6.267994  6.999922        7.871806   \n",
      "1  2015       3.886725        7.401711  8.418623        9.782015   \n",
      "2  2016       3.745677        7.499251  8.591661       10.145074   \n",
      "3  2017       3.959181        6.787591  7.528221        8.747927   \n",
      "4  2018       3.675895        6.032976  7.005055        7.696105   \n",
      "5  2019       4.199801        7.328112  8.318608        9.574742   \n",
      "\n",
      "   upper_whisker  \n",
      "0      10.245635  \n",
      "1      13.337520  \n",
      "2      14.109930  \n",
      "3      11.687139  \n",
      "4      10.101310  \n",
      "5      12.873574  \n",
      "boxplot info for TIs smoke PM25\n",
      "  label  lower_whisker  lower_quartile    median  upper_quartile  \\\n",
      "0  2014       0.133211        0.524347  0.775597        1.890011   \n",
      "1  2015      -0.113687        1.509932  2.113016        4.092740   \n",
      "2  2016       0.189742        1.720058  2.435184        4.251334   \n",
      "3  2017      -0.295665        0.583598  1.296399        3.494545   \n",
      "4  2018      -1.259634        0.450006  1.033867        1.809035   \n",
      "5  2019      -0.312536        1.464117  2.035707        3.931305   \n",
      "\n",
      "   upper_whisker  \n",
      "0       3.936427  \n",
      "1       7.872375  \n",
      "2       7.998720  \n",
      "3       7.815568  \n",
      "4       3.779876  \n",
      "5       7.624602  \n"
     ]
    }
   ],
   "source": [
    "labels = ticks\n",
    "print('boxplot info for TIs total PM25')\n",
    "print(get_box_plot_data(labels, bpl2))\n",
    "print('boxplot info for TIs smoke PM25')\n",
    "print(get_box_plot_data(labels, bpr2))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "43f13dd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#not used in paper\n",
    "labels= ['2014','2015','2016','2017','2018','2019']\n",
    "medianprops = dict(linestyle='-', linewidth=2.5, color='C1')\n",
    "meanpointprops = dict(marker='D', markeredgecolor='C0',\n",
    "                      markerfacecolor='C0')\n",
    "\n",
    "#print('Average ratio between Obs/GC from 2016-2019 at Artesonraju: '+str(avg_clim_arte_ratio_avg) )\n",
    "#print('Average ratio between Obs/GC from 2015-2019 at Aruntani: '+str(avg_clim_arun_ratio_avg) )\n",
    "\n",
    "_=plt.boxplot(dfpm25SA[['2014','2015','2016','2017','2018','2019']].dropna().values,medianprops=medianprops, meanprops=meanpointprops, meanline=False,\n",
    "                  showmeans=True)\n",
    "_=plt.xticks(range(1,7),labels)\n",
    "_= plt.title(\" Precipiation ratios for weather stations in Andes. \", y=1.05)\n",
    "_=plt.ylabel('Ratios (Obs./GC)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "401b5d05",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c66b8a72",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "5b0a9d5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "  font-weight: normal;\n",
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       "}\n",
       "\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
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       "  vertical-align: middle;\n",
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;PM25&#x27; (lev: 1, time: 1, lat: 151, lon: 89)&gt;\n",
       "array([[[[ 2.441485, ...,  1.51672 ],\n",
       "         ...,\n",
       "         [ 8.218915, ..., 21.53217 ]]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "  * lev      (lev) float64 0.9925\n",
       "  * time     (time) datetime64[ns] 2014-01-01\n",
       "Attributes:\n",
       "    units:    ug/m3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'PM25'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lev</span>: 1</li><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>lat</span>: 151</li><li><span class='xr-has-index'>lon</span>: 89</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-893721a0-0464-4113-85ef-734a6c9f59b0' class='xr-array-in' type='checkbox' checked><label for='section-893721a0-0464-4113-85ef-734a6c9f59b0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>2.441 2.436 2.437 2.449 2.452 2.45 ... 18.15 18.15 19.86 21.56 21.53</span></div><div class='xr-array-data'><pre>array([[[[ 2.441485, ...,  1.51672 ],\n",
       "         ...,\n",
       "         [ 8.218915, ..., 21.53217 ]]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-98dc523c-451f-45ae-88b4-45af7b4e88e9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-98dc523c-451f-45ae-88b4-45af7b4e88e9' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-85.0 -84.38 ... -30.62 -30.0</div><input id='attrs-9c351410-c248-408e-a386-6d3e829395d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c351410-c248-408e-a386-6d3e829395d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19d4404c-0116-434a-ba17-b83d351c3dc2' class='xr-var-data-in' type='checkbox'><label for='data-19d4404c-0116-434a-ba17-b83d351c3dc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-85.   , -84.375, -83.75 , -83.125, -82.5  , -81.875, -81.25 , -80.625,\n",
       "       -80.   , -79.375, -78.75 , -78.125, -77.5  , -76.875, -76.25 , -75.625,\n",
       "       -75.   , -74.375, -73.75 , -73.125, -72.5  , -71.875, -71.25 , -70.625,\n",
       "       -70.   , -69.375, -68.75 , -68.125, -67.5  , -66.875, -66.25 , -65.625,\n",
       "       -65.   , -64.375, -63.75 , -63.125, -62.5  , -61.875, -61.25 , -60.625,\n",
       "       -60.   , -59.375, -58.75 , -58.125, -57.5  , -56.875, -56.25 , -55.625,\n",
       "       -55.   , -54.375, -53.75 , -53.125, -52.5  , -51.875, -51.25 , -50.625,\n",
       "       -50.   , -49.375, -48.75 , -48.125, -47.5  , -46.875, -46.25 , -45.625,\n",
       "       -45.   , -44.375, -43.75 , -43.125, -42.5  , -41.875, -41.25 , -40.625,\n",
       "       -40.   , -39.375, -38.75 , -38.125, -37.5  , -36.875, -36.25 , -35.625,\n",
       "       -35.   , -34.375, -33.75 , -33.125, -32.5  , -31.875, -31.25 , -30.625,\n",
       "       -30.   ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.0 -59.5 -59.0 ... 14.5 15.0</div><input id='attrs-c5f2d6f0-0ae1-43a9-a801-f30ab44ed2b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c5f2d6f0-0ae1-43a9-a801-f30ab44ed2b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-243e84f3-f46c-4335-ac62-c28909ce6b4d' class='xr-var-data-in' type='checkbox'><label for='data-243e84f3-f46c-4335-ac62-c28909ce6b4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-60. , -59.5, -59. , -58.5, -58. , -57.5, -57. , -56.5, -56. , -55.5,\n",
       "       -55. , -54.5, -54. , -53.5, -53. , -52.5, -52. , -51.5, -51. , -50.5,\n",
       "       -50. , -49.5, -49. , -48.5, -48. , -47.5, -47. , -46.5, -46. , -45.5,\n",
       "       -45. , -44.5, -44. , -43.5, -43. , -42.5, -42. , -41.5, -41. , -40.5,\n",
       "       -40. , -39.5, -39. , -38.5, -38. , -37.5, -37. , -36.5, -36. , -35.5,\n",
       "       -35. , -34.5, -34. , -33.5, -33. , -32.5, -32. , -31.5, -31. , -30.5,\n",
       "       -30. , -29.5, -29. , -28.5, -28. , -27.5, -27. , -26.5, -26. , -25.5,\n",
       "       -25. , -24.5, -24. , -23.5, -23. , -22.5, -22. , -21.5, -21. , -20.5,\n",
       "       -20. , -19.5, -19. , -18.5, -18. , -17.5, -17. , -16.5, -16. , -15.5,\n",
       "       -15. , -14.5, -14. , -13.5, -13. , -12.5, -12. , -11.5, -11. , -10.5,\n",
       "       -10. ,  -9.5,  -9. ,  -8.5,  -8. ,  -7.5,  -7. ,  -6.5,  -6. ,  -5.5,\n",
       "        -5. ,  -4.5,  -4. ,  -3.5,  -3. ,  -2.5,  -2. ,  -1.5,  -1. ,  -0.5,\n",
       "         0. ,   0.5,   1. ,   1.5,   2. ,   2.5,   3. ,   3.5,   4. ,   4.5,\n",
       "         5. ,   5.5,   6. ,   6.5,   7. ,   7.5,   8. ,   8.5,   9. ,   9.5,\n",
       "        10. ,  10.5,  11. ,  11.5,  12. ,  12.5,  13. ,  13.5,  14. ,  14.5,\n",
       "        15. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9925</div><input id='attrs-666b2a70-6f5f-4ff2-bf42-28059220f444' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-666b2a70-6f5f-4ff2-bf42-28059220f444' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bc72f38-ae49-4833-9326-2666ebdbe10a' class='xr-var-data-in' type='checkbox'><label for='data-8bc72f38-ae49-4833-9326-2666ebdbe10a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.9925])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2014-01-01</div><input id='attrs-82bf8ef0-410e-45f2-8aa0-c449b3faeed1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-82bf8ef0-410e-45f2-8aa0-c449b3faeed1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5792b65f-0ec0-4cb1-9832-053441433f6d' class='xr-var-data-in' type='checkbox'><label for='data-5792b65f-0ec0-4cb1-9832-053441433f6d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2014-01-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c1af504c-2c29-4a6c-aa84-c8fa1de8445f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c1af504c-2c29-4a6c-aa84-c8fa1de8445f' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>ug/m3</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'PM25' (lev: 1, time: 1, lat: 151, lon: 89)>\n",
       "array([[[[ 2.441485, ...,  1.51672 ],\n",
       "         ...,\n",
       "         [ 8.218915, ..., 21.53217 ]]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lon      (lon) float64 -85.0 -84.38 -83.75 -83.12 ... -31.25 -30.62 -30.0\n",
       "  * lat      (lat) float64 -60.0 -59.5 -59.0 -58.5 -58.0 ... 13.5 14.0 14.5 15.0\n",
       "  * lev      (lev) float64 0.9925\n",
       "  * time     (time) datetime64[ns] 2014-01-01\n",
       "Attributes:\n",
       "    units:    ug/m3"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pm25_2014[\"PM25\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "293c8639",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2b590b999540>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "TIs_pm25_2014[\"PM25\"].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "0a38be08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.float64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(PM25_annualmeans[\"PM25_SA\"][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dd0db334",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "97daf7ef",
   "metadata": {},
   "source": [
    "### Excess mortality per country in SA for 2014-2019 totals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "f41ddd7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>mean_mort_total</th>\n",
       "      <th>perc_2.5</th>\n",
       "      <th>perc_97.5</th>\n",
       "      <th>mean_mort_TIs</th>\n",
       "      <th>perc_2.5_TIs</th>\n",
       "      <th>perc_97.5_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>6415.41919</td>\n",
       "      <td>11107.276308</td>\n",
       "      <td>1677.625573</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>37.915884</td>\n",
       "      <td>68.684189</td>\n",
       "      <td>6.739606</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>4703.163719</td>\n",
       "      <td>8104.436348</td>\n",
       "      <td>1244.041382</td>\n",
       "      <td>423.148968</td>\n",
       "      <td>727.955439</td>\n",
       "      <td>110.292142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>39158.616983</td>\n",
       "      <td>67765.147202</td>\n",
       "      <td>10152.342027</td>\n",
       "      <td>241.199864</td>\n",
       "      <td>415.177954</td>\n",
       "      <td>63.031802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Chile</td>\n",
       "      <td>5046.293173</td>\n",
       "      <td>8737.761182</td>\n",
       "      <td>1272.270707</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>5862.670074</td>\n",
       "      <td>10198.889121</td>\n",
       "      <td>1473.117295</td>\n",
       "      <td>78.243083</td>\n",
       "      <td>135.60014</td>\n",
       "      <td>20.237966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>115.13673</td>\n",
       "      <td>201.116743</td>\n",
       "      <td>28.31485</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Dominica</td>\n",
       "      <td>0.192154</td>\n",
       "      <td>0.366717</td>\n",
       "      <td>0.020586</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Ecuador</td>\n",
       "      <td>824.003691</td>\n",
       "      <td>1429.31338</td>\n",
       "      <td>214.374373</td>\n",
       "      <td>39.4842</td>\n",
       "      <td>68.502295</td>\n",
       "      <td>10.633693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>-0.001444</td>\n",
       "      <td>0.011813</td>\n",
       "      <td>-0.014669</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>French Guiana</td>\n",
       "      <td>23.91099</td>\n",
       "      <td>41.603019</td>\n",
       "      <td>6.038991</td>\n",
       "      <td>0.982506</td>\n",
       "      <td>1.708974</td>\n",
       "      <td>0.248535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Grenada</td>\n",
       "      <td>7.377748</td>\n",
       "      <td>13.271661</td>\n",
       "      <td>1.41228</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Guyana</td>\n",
       "      <td>77.593155</td>\n",
       "      <td>135.00063</td>\n",
       "      <td>19.585997</td>\n",
       "      <td>3.782457</td>\n",
       "      <td>6.573555</td>\n",
       "      <td>0.965121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>3.575545</td>\n",
       "      <td>6.173937</td>\n",
       "      <td>1.01134</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Martinique</td>\n",
       "      <td>15.520109</td>\n",
       "      <td>31.777122</td>\n",
       "      <td>-0.88192</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Curacao</td>\n",
       "      <td>6.90939</td>\n",
       "      <td>12.711612</td>\n",
       "      <td>1.050786</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>3.637388</td>\n",
       "      <td>6.977792</td>\n",
       "      <td>0.267885</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Bonaire</td>\n",
       "      <td>0.812993</td>\n",
       "      <td>1.509798</td>\n",
       "      <td>0.109366</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>41.222051</td>\n",
       "      <td>71.663162</td>\n",
       "      <td>10.492103</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>Panama</td>\n",
       "      <td>111.86284</td>\n",
       "      <td>194.400497</td>\n",
       "      <td>28.647689</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Paraguay</td>\n",
       "      <td>2399.935993</td>\n",
       "      <td>4159.353237</td>\n",
       "      <td>611.119847</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Peru</td>\n",
       "      <td>2462.847221</td>\n",
       "      <td>4267.025574</td>\n",
       "      <td>643.181248</td>\n",
       "      <td>489.664344</td>\n",
       "      <td>848.277403</td>\n",
       "      <td>127.889291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>Saint Lucia</td>\n",
       "      <td>8.427202</td>\n",
       "      <td>16.985605</td>\n",
       "      <td>-0.210683</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>8.098426</td>\n",
       "      <td>15.055088</td>\n",
       "      <td>1.059802</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Suriname</td>\n",
       "      <td>42.514732</td>\n",
       "      <td>73.983046</td>\n",
       "      <td>10.728237</td>\n",
       "      <td>0.002729</td>\n",
       "      <td>0.004734</td>\n",
       "      <td>0.000708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>116.154635</td>\n",
       "      <td>202.13329</td>\n",
       "      <td>29.204587</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>287.489311</td>\n",
       "      <td>498.48882</td>\n",
       "      <td>75.67324</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Venezuela</td>\n",
       "      <td>4014.030381</td>\n",
       "      <td>6985.160747</td>\n",
       "      <td>1005.986358</td>\n",
       "      <td>79.831615</td>\n",
       "      <td>138.582652</td>\n",
       "      <td>20.421674</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              country mean_mort_total      perc_2.5  \\\n",
       "8                           Argentina      6415.41919  11107.276308   \n",
       "15                           Barbados       37.915884     68.684189   \n",
       "19                            Bolivia     4703.163719   8104.436348   \n",
       "22                             Brazil    39158.616983  67765.147202   \n",
       "39                              Chile     5046.293173   8737.761182   \n",
       "42                           Colombia     5862.670074  10198.889121   \n",
       "48                         Costa Rica       115.13673    201.116743   \n",
       "55                           Dominica        0.192154      0.366717   \n",
       "57                            Ecuador      824.003691    1429.31338   \n",
       "64                   Falkland Islands       -0.001444      0.011813   \n",
       "69                      French Guiana        23.91099     41.603019   \n",
       "82                            Grenada        7.377748     13.271661   \n",
       "87                             Guyana       77.593155     135.00063   \n",
       "90                           Honduras        3.575545      6.173937   \n",
       "127                        Martinique       15.520109     31.777122   \n",
       "143                           Curacao         6.90939     12.711612   \n",
       "144                             Aruba        3.637388      6.977792   \n",
       "146                           Bonaire        0.812993      1.509798   \n",
       "150                         Nicaragua       41.222051     71.663162   \n",
       "161                            Panama       111.86284    194.400497   \n",
       "163                          Paraguay     2399.935993   4159.353237   \n",
       "164                              Peru     2462.847221   4267.025574   \n",
       "181                       Saint Lucia        8.427202     16.985605   \n",
       "184  Saint Vincent and the Grenadines        8.098426     15.055088   \n",
       "203                          Suriname       42.514732     73.983046   \n",
       "214               Trinidad and Tobago      116.154635     202.13329   \n",
       "233                           Uruguay      287.489311     498.48882   \n",
       "235                         Venezuela     4014.030381   6985.160747   \n",
       "\n",
       "        perc_97.5 mean_mort_TIs perc_2.5_TIs perc_97.5_TIs  \n",
       "8     1677.625573          -0.0         -0.0          -0.0  \n",
       "15       6.739606          -0.0         -0.0          -0.0  \n",
       "19    1244.041382    423.148968   727.955439    110.292142  \n",
       "22   10152.342027    241.199864   415.177954     63.031802  \n",
       "39    1272.270707          -0.0         -0.0          -0.0  \n",
       "42    1473.117295     78.243083    135.60014     20.237966  \n",
       "48       28.31485          -0.0         -0.0          -0.0  \n",
       "55       0.020586          -0.0         -0.0          -0.0  \n",
       "57     214.374373       39.4842    68.502295     10.633693  \n",
       "64      -0.014669          -0.0         -0.0          -0.0  \n",
       "69       6.038991      0.982506     1.708974      0.248535  \n",
       "82        1.41228          -0.0         -0.0          -0.0  \n",
       "87      19.585997      3.782457     6.573555      0.965121  \n",
       "90        1.01134          -0.0         -0.0          -0.0  \n",
       "127      -0.88192          -0.0         -0.0          -0.0  \n",
       "143      1.050786          -0.0         -0.0          -0.0  \n",
       "144      0.267885          -0.0         -0.0          -0.0  \n",
       "146      0.109366          -0.0         -0.0          -0.0  \n",
       "150     10.492103          -0.0         -0.0          -0.0  \n",
       "161     28.647689          -0.0         -0.0          -0.0  \n",
       "163    611.119847          -0.0         -0.0          -0.0  \n",
       "164    643.181248    489.664344   848.277403    127.889291  \n",
       "181     -0.210683          -0.0         -0.0          -0.0  \n",
       "184      1.059802          -0.0         -0.0          -0.0  \n",
       "203     10.728237      0.002729     0.004734      0.000708  \n",
       "214     29.204587          -0.0         -0.0          -0.0  \n",
       "233      75.67324          -0.0         -0.0          -0.0  \n",
       "235   1005.986358     79.831615   138.582652     20.421674  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "column_names= ['country', 'mean_mort_total', 'perc_2.5', 'perc_97.5', 'mean_mort_TIs','perc_2.5_TIs', 'perc_97.5_TIs']\n",
    "country_2014_2019sumtotal=pd.DataFrame(columns=column_names)\n",
    "country_2014_2019sumtotal['country']=country_2014['country']\n",
    "country_2014_2019sumtotal.iloc[:,1:7]=(country_2014.iloc[:,1:7]+country_2015.iloc[:,1:7]+country_2016.iloc[:,1:7]\n",
    "                                       +country_2017.iloc[:,1:7]+country_2018.iloc[:,1:7]+country_2019.iloc[:,1:7])\n",
    "country_2014_2019sumtotal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "6b429e62",
   "metadata": {},
   "outputs": [],
   "source": [
    "import format_plots as fp\n",
    "Reds_trans = fp.cmap_trans('Reds')# makes tranparent at lower end\n",
    "Reds_trans_r = fp.cmap_trans('Reds')# makes tranparent in the middle of the spectrum\n",
    "Oranges_trans = fp.cmap_trans('Oranges')# makes tranparent at lower end\n",
    "Oranges_trans_r = fp.cmap_trans('Oranges')# makes tranparent in the middle of the spectrum\n",
    "YlOrRd_trans=  fp.cmap_trans('YlOrRd')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15e86233",
   "metadata": {},
   "source": [
    "## Total excess deaths in South America"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "e4282aaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "world_countries_file='../AQ_Amazon_files/countries_shapes/World_Countries__Generalized_.shp'\n",
    "countries=gpd.read_file(world_countries_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "42a4e85a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>mean_mort_total</th>\n",
       "      <th>perc_2.5</th>\n",
       "      <th>perc_97.5</th>\n",
       "      <th>mean_mort_TIs</th>\n",
       "      <th>perc_2.5_TIs</th>\n",
       "      <th>perc_97.5_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>6415.41919</td>\n",
       "      <td>11107.276308</td>\n",
       "      <td>1677.625573</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>37.915884</td>\n",
       "      <td>68.684189</td>\n",
       "      <td>6.739606</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>4703.163719</td>\n",
       "      <td>8104.436348</td>\n",
       "      <td>1244.041382</td>\n",
       "      <td>423.148968</td>\n",
       "      <td>727.955439</td>\n",
       "      <td>110.292142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>39158.616983</td>\n",
       "      <td>67765.147202</td>\n",
       "      <td>10152.342027</td>\n",
       "      <td>241.199864</td>\n",
       "      <td>415.177954</td>\n",
       "      <td>63.031802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Chile</td>\n",
       "      <td>5046.293173</td>\n",
       "      <td>8737.761182</td>\n",
       "      <td>1272.270707</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Colombia</td>\n",
       "      <td>5862.670074</td>\n",
       "      <td>10198.889121</td>\n",
       "      <td>1473.117295</td>\n",
       "      <td>78.243083</td>\n",
       "      <td>135.60014</td>\n",
       "      <td>20.237966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>115.13673</td>\n",
       "      <td>201.116743</td>\n",
       "      <td>28.31485</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Dominica</td>\n",
       "      <td>0.192154</td>\n",
       "      <td>0.366717</td>\n",
       "      <td>0.020586</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Ecuador</td>\n",
       "      <td>824.003691</td>\n",
       "      <td>1429.31338</td>\n",
       "      <td>214.374373</td>\n",
       "      <td>39.4842</td>\n",
       "      <td>68.502295</td>\n",
       "      <td>10.633693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>-0.001444</td>\n",
       "      <td>0.011813</td>\n",
       "      <td>-0.014669</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>French Guiana</td>\n",
       "      <td>23.91099</td>\n",
       "      <td>41.603019</td>\n",
       "      <td>6.038991</td>\n",
       "      <td>0.982506</td>\n",
       "      <td>1.708974</td>\n",
       "      <td>0.248535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Grenada</td>\n",
       "      <td>7.377748</td>\n",
       "      <td>13.271661</td>\n",
       "      <td>1.41228</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Guyana</td>\n",
       "      <td>77.593155</td>\n",
       "      <td>135.00063</td>\n",
       "      <td>19.585997</td>\n",
       "      <td>3.782457</td>\n",
       "      <td>6.573555</td>\n",
       "      <td>0.965121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Honduras</td>\n",
       "      <td>3.575545</td>\n",
       "      <td>6.173937</td>\n",
       "      <td>1.01134</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Martinique</td>\n",
       "      <td>15.520109</td>\n",
       "      <td>31.777122</td>\n",
       "      <td>-0.88192</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Curacao</td>\n",
       "      <td>6.90939</td>\n",
       "      <td>12.711612</td>\n",
       "      <td>1.050786</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Aruba</td>\n",
       "      <td>3.637388</td>\n",
       "      <td>6.977792</td>\n",
       "      <td>0.267885</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Bonaire</td>\n",
       "      <td>0.812993</td>\n",
       "      <td>1.509798</td>\n",
       "      <td>0.109366</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>41.222051</td>\n",
       "      <td>71.663162</td>\n",
       "      <td>10.492103</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>Panama</td>\n",
       "      <td>111.86284</td>\n",
       "      <td>194.400497</td>\n",
       "      <td>28.647689</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Paraguay</td>\n",
       "      <td>2399.935993</td>\n",
       "      <td>4159.353237</td>\n",
       "      <td>611.119847</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Peru</td>\n",
       "      <td>2462.847221</td>\n",
       "      <td>4267.025574</td>\n",
       "      <td>643.181248</td>\n",
       "      <td>489.664344</td>\n",
       "      <td>848.277403</td>\n",
       "      <td>127.889291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>Saint Lucia</td>\n",
       "      <td>8.427202</td>\n",
       "      <td>16.985605</td>\n",
       "      <td>-0.210683</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>8.098426</td>\n",
       "      <td>15.055088</td>\n",
       "      <td>1.059802</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Suriname</td>\n",
       "      <td>42.514732</td>\n",
       "      <td>73.983046</td>\n",
       "      <td>10.728237</td>\n",
       "      <td>0.002729</td>\n",
       "      <td>0.004734</td>\n",
       "      <td>0.000708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>116.154635</td>\n",
       "      <td>202.13329</td>\n",
       "      <td>29.204587</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>Uruguay</td>\n",
       "      <td>287.489311</td>\n",
       "      <td>498.48882</td>\n",
       "      <td>75.67324</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Venezuela</td>\n",
       "      <td>4014.030381</td>\n",
       "      <td>6985.160747</td>\n",
       "      <td>1005.986358</td>\n",
       "      <td>79.831615</td>\n",
       "      <td>138.582652</td>\n",
       "      <td>20.421674</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              country mean_mort_total      perc_2.5  \\\n",
       "8                           Argentina      6415.41919  11107.276308   \n",
       "15                           Barbados       37.915884     68.684189   \n",
       "19                            Bolivia     4703.163719   8104.436348   \n",
       "22                             Brazil    39158.616983  67765.147202   \n",
       "39                              Chile     5046.293173   8737.761182   \n",
       "42                           Colombia     5862.670074  10198.889121   \n",
       "48                         Costa Rica       115.13673    201.116743   \n",
       "55                           Dominica        0.192154      0.366717   \n",
       "57                            Ecuador      824.003691    1429.31338   \n",
       "64                   Falkland Islands       -0.001444      0.011813   \n",
       "69                      French Guiana        23.91099     41.603019   \n",
       "82                            Grenada        7.377748     13.271661   \n",
       "87                             Guyana       77.593155     135.00063   \n",
       "90                           Honduras        3.575545      6.173937   \n",
       "127                        Martinique       15.520109     31.777122   \n",
       "143                           Curacao         6.90939     12.711612   \n",
       "144                             Aruba        3.637388      6.977792   \n",
       "146                           Bonaire        0.812993      1.509798   \n",
       "150                         Nicaragua       41.222051     71.663162   \n",
       "161                            Panama       111.86284    194.400497   \n",
       "163                          Paraguay     2399.935993   4159.353237   \n",
       "164                              Peru     2462.847221   4267.025574   \n",
       "181                       Saint Lucia        8.427202     16.985605   \n",
       "184  Saint Vincent and the Grenadines        8.098426     15.055088   \n",
       "203                          Suriname       42.514732     73.983046   \n",
       "214               Trinidad and Tobago      116.154635     202.13329   \n",
       "233                           Uruguay      287.489311     498.48882   \n",
       "235                         Venezuela     4014.030381   6985.160747   \n",
       "\n",
       "        perc_97.5 mean_mort_TIs perc_2.5_TIs perc_97.5_TIs  \n",
       "8     1677.625573          -0.0         -0.0          -0.0  \n",
       "15       6.739606          -0.0         -0.0          -0.0  \n",
       "19    1244.041382    423.148968   727.955439    110.292142  \n",
       "22   10152.342027    241.199864   415.177954     63.031802  \n",
       "39    1272.270707          -0.0         -0.0          -0.0  \n",
       "42    1473.117295     78.243083    135.60014     20.237966  \n",
       "48       28.31485          -0.0         -0.0          -0.0  \n",
       "55       0.020586          -0.0         -0.0          -0.0  \n",
       "57     214.374373       39.4842    68.502295     10.633693  \n",
       "64      -0.014669          -0.0         -0.0          -0.0  \n",
       "69       6.038991      0.982506     1.708974      0.248535  \n",
       "82        1.41228          -0.0         -0.0          -0.0  \n",
       "87      19.585997      3.782457     6.573555      0.965121  \n",
       "90        1.01134          -0.0         -0.0          -0.0  \n",
       "127      -0.88192          -0.0         -0.0          -0.0  \n",
       "143      1.050786          -0.0         -0.0          -0.0  \n",
       "144      0.267885          -0.0         -0.0          -0.0  \n",
       "146      0.109366          -0.0         -0.0          -0.0  \n",
       "150     10.492103          -0.0         -0.0          -0.0  \n",
       "161     28.647689          -0.0         -0.0          -0.0  \n",
       "163    611.119847          -0.0         -0.0          -0.0  \n",
       "164    643.181248    489.664344   848.277403    127.889291  \n",
       "181     -0.210683          -0.0         -0.0          -0.0  \n",
       "184      1.059802          -0.0         -0.0          -0.0  \n",
       "203     10.728237      0.002729     0.004734      0.000708  \n",
       "214     29.204587          -0.0         -0.0          -0.0  \n",
       "233      75.67324          -0.0         -0.0          -0.0  \n",
       "235   1005.986358     79.831615   138.582652     20.421674  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_2014_2019sumtotal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "93c21e8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>COUNTRYAFF</th>\n",
       "      <th>AFF_ISO</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>SHAPE_Area</th>\n",
       "      <th>geometry</th>\n",
       "      <th>country</th>\n",
       "      <th>mean_mort_total</th>\n",
       "      <th>perc_2.5</th>\n",
       "      <th>perc_97.5</th>\n",
       "      <th>mean_mort_TIs</th>\n",
       "      <th>perc_2.5_TIs</th>\n",
       "      <th>perc_97.5_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>138.751348</td>\n",
       "      <td>278.308965</td>\n",
       "      <td>MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>6415.41919</td>\n",
       "      <td>11107.276308</td>\n",
       "      <td>1677.625573</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>FK</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>19.082564</td>\n",
       "      <td>1.495383</td>\n",
       "      <td>MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...</td>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>-0.001444</td>\n",
       "      <td>0.011813</td>\n",
       "      <td>-0.014669</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>331.249881</td>\n",
       "      <td>77.692992</td>\n",
       "      <td>MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...</td>\n",
       "      <td>Chile</td>\n",
       "      <td>5046.293173</td>\n",
       "      <td>8737.761182</td>\n",
       "      <td>1272.270707</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>35.220537</td>\n",
       "      <td>20.753615</td>\n",
       "      <td>MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>824.003691</td>\n",
       "      <td>1429.31338</td>\n",
       "      <td>214.374373</td>\n",
       "      <td>39.4842</td>\n",
       "      <td>68.502295</td>\n",
       "      <td>10.633693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>68.285384</td>\n",
       "      <td>106.500858</td>\n",
       "      <td>POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...</td>\n",
       "      <td>Peru</td>\n",
       "      <td>2462.847221</td>\n",
       "      <td>4267.025574</td>\n",
       "      <td>643.181248</td>\n",
       "      <td>489.664344</td>\n",
       "      <td>848.277403</td>\n",
       "      <td>127.889291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>52.483687</td>\n",
       "      <td>92.190105</td>\n",
       "      <td>POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>4703.163719</td>\n",
       "      <td>8104.436348</td>\n",
       "      <td>1244.041382</td>\n",
       "      <td>423.148968</td>\n",
       "      <td>727.955439</td>\n",
       "      <td>110.292142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>248.756715</td>\n",
       "      <td>707.050676</td>\n",
       "      <td>MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>39158.616983</td>\n",
       "      <td>67765.147202</td>\n",
       "      <td>10152.342027</td>\n",
       "      <td>241.199864</td>\n",
       "      <td>415.177954</td>\n",
       "      <td>63.031802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>30.891884</td>\n",
       "      <td>35.208739</td>\n",
       "      <td>POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>2399.935993</td>\n",
       "      <td>4159.353237</td>\n",
       "      <td>611.119847</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>18.486971</td>\n",
       "      <td>17.126245</td>\n",
       "      <td>POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>287.489311</td>\n",
       "      <td>498.48882</td>\n",
       "      <td>75.67324</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>0.610340</td>\n",
       "      <td>0.016598</td>\n",
       "      <td>POLYGON ((-69.88224 12.41111, -69.94695 12.436...</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>3.637388</td>\n",
       "      <td>6.977792</td>\n",
       "      <td>0.267885</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>Barbados</td>\n",
       "      <td>BB</td>\n",
       "      <td>Barbados</td>\n",
       "      <td>BB</td>\n",
       "      <td>0.813985</td>\n",
       "      <td>0.037212</td>\n",
       "      <td>POLYGON ((-59.53305 13.05055, -59.54542 13.069...</td>\n",
       "      <td>Barbados</td>\n",
       "      <td>37.915884</td>\n",
       "      <td>68.684189</td>\n",
       "      <td>6.739606</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>BQ</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>0.828287</td>\n",
       "      <td>0.026260</td>\n",
       "      <td>POLYGON ((-68.25111 12.02055, -68.25751 12.024...</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>0.812993</td>\n",
       "      <td>1.509798</td>\n",
       "      <td>0.109366</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>70.687532</td>\n",
       "      <td>92.580490</td>\n",
       "      <td>MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>5862.670074</td>\n",
       "      <td>10198.889121</td>\n",
       "      <td>1473.117295</td>\n",
       "      <td>78.243083</td>\n",
       "      <td>135.60014</td>\n",
       "      <td>20.237966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td>14.717325</td>\n",
       "      <td>4.211863</td>\n",
       "      <td>POLYGON ((-85.22679 9.72734, -85.27848 9.78597...</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>115.13673</td>\n",
       "      <td>201.116743</td>\n",
       "      <td>28.31485</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>CW</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>1.160393</td>\n",
       "      <td>0.039249</td>\n",
       "      <td>POLYGON ((-68.74695 12.04027, -68.79889 12.040...</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>6.90939</td>\n",
       "      <td>12.711612</td>\n",
       "      <td>1.050786</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>DM</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>DM</td>\n",
       "      <td>1.097118</td>\n",
       "      <td>0.064835</td>\n",
       "      <td>POLYGON ((-61.36362 15.19805, -61.37410 15.204...</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>0.192154</td>\n",
       "      <td>0.366717</td>\n",
       "      <td>0.020586</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>GF</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>12.253085</td>\n",
       "      <td>6.807577</td>\n",
       "      <td>POLYGON ((-54.60378 2.32919, -54.49917 2.36500...</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>23.91099</td>\n",
       "      <td>41.603019</td>\n",
       "      <td>6.038991</td>\n",
       "      <td>0.982506</td>\n",
       "      <td>1.708974</td>\n",
       "      <td>0.248535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>Grenada</td>\n",
       "      <td>GD</td>\n",
       "      <td>Grenada</td>\n",
       "      <td>GD</td>\n",
       "      <td>0.681409</td>\n",
       "      <td>0.028753</td>\n",
       "      <td>POLYGON ((-61.61000 12.22777, -61.60556 12.222...</td>\n",
       "      <td>Grenada</td>\n",
       "      <td>7.377748</td>\n",
       "      <td>13.271661</td>\n",
       "      <td>1.41228</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>25.707599</td>\n",
       "      <td>17.175215</td>\n",
       "      <td>POLYGON ((-58.17262 6.81222, -58.15494 6.82819...</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>77.593155</td>\n",
       "      <td>135.00063</td>\n",
       "      <td>19.585997</td>\n",
       "      <td>3.782457</td>\n",
       "      <td>6.573555</td>\n",
       "      <td>0.965121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>49</td>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td>20.971747</td>\n",
       "      <td>9.422324</td>\n",
       "      <td>MULTIPOLYGON (((-86.76421 13.71069, -86.75084 ...</td>\n",
       "      <td>Honduras</td>\n",
       "      <td>3.575545</td>\n",
       "      <td>6.173937</td>\n",
       "      <td>1.01134</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>51</td>\n",
       "      <td>Martinique</td>\n",
       "      <td>MQ</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>1.379038</td>\n",
       "      <td>0.096314</td>\n",
       "      <td>POLYGON ((-60.86084 14.40277, -60.88695 14.465...</td>\n",
       "      <td>Martinique</td>\n",
       "      <td>15.520109</td>\n",
       "      <td>31.777122</td>\n",
       "      <td>-0.88192</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>53</td>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td>18.030674</td>\n",
       "      <td>10.668797</td>\n",
       "      <td>POLYGON ((-83.13185 14.99298, -83.19667 14.956...</td>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>41.222051</td>\n",
       "      <td>71.663162</td>\n",
       "      <td>10.492103</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>25.300755</td>\n",
       "      <td>6.088301</td>\n",
       "      <td>MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...</td>\n",
       "      <td>Panama</td>\n",
       "      <td>111.86284</td>\n",
       "      <td>194.400497</td>\n",
       "      <td>28.647689</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>60</td>\n",
       "      <td>Saint Lucia</td>\n",
       "      <td>LC</td>\n",
       "      <td>Saint Lucia</td>\n",
       "      <td>LC</td>\n",
       "      <td>0.952988</td>\n",
       "      <td>0.053124</td>\n",
       "      <td>POLYGON ((-60.95473 13.70945, -60.95612 13.715...</td>\n",
       "      <td>Saint Lucia</td>\n",
       "      <td>8.427202</td>\n",
       "      <td>16.985605</td>\n",
       "      <td>-0.210683</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>63</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>VC</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>VC</td>\n",
       "      <td>0.649527</td>\n",
       "      <td>0.028545</td>\n",
       "      <td>POLYGON ((-61.18445 13.13028, -61.24362 13.156...</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>8.098426</td>\n",
       "      <td>15.055088</td>\n",
       "      <td>1.059802</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>65</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>17.126613</td>\n",
       "      <td>11.810421</td>\n",
       "      <td>POLYGON ((-55.12796 5.82217, -55.10445 5.83944...</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>42.514732</td>\n",
       "      <td>73.983046</td>\n",
       "      <td>10.728237</td>\n",
       "      <td>0.002729</td>\n",
       "      <td>0.004734</td>\n",
       "      <td>0.000708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>66</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>4.384972</td>\n",
       "      <td>0.413753</td>\n",
       "      <td>MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>116.154635</td>\n",
       "      <td>202.13329</td>\n",
       "      <td>29.204587</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>69</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>76.947448</td>\n",
       "      <td>74.628377</td>\n",
       "      <td>MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>4014.030381</td>\n",
       "      <td>6985.160747</td>\n",
       "      <td>1005.986358</td>\n",
       "      <td>79.831615</td>\n",
       "      <td>138.582652</td>\n",
       "      <td>20.421674</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    FID                           COUNTRY ISO  \\\n",
       "14   15                         Argentina  AR   \n",
       "15   16                  Falkland Islands  FK   \n",
       "16   17                             Chile  CL   \n",
       "17   18                           Ecuador  EC   \n",
       "18   19                              Peru  PE   \n",
       "19   20                           Bolivia  BO   \n",
       "20   21                            Brazil  BR   \n",
       "21   22                          Paraguay  PY   \n",
       "22   23                           Uruguay  UY   \n",
       "29   30                             Aruba  AW   \n",
       "31   32                          Barbados  BB   \n",
       "34   35                           Bonaire  BQ   \n",
       "37   38                          Colombia  CO   \n",
       "38   39                        Costa Rica  CR   \n",
       "40   41                           Curacao  CW   \n",
       "41   42                          Dominica  DM   \n",
       "43   44                     French Guiana  GF   \n",
       "44   45                           Grenada  GD   \n",
       "46   47                            Guyana  GY   \n",
       "48   49                          Honduras  HN   \n",
       "50   51                        Martinique  MQ   \n",
       "52   53                         Nicaragua  NI   \n",
       "53   54                            Panama  PA   \n",
       "59   60                       Saint Lucia  LC   \n",
       "62   63  Saint Vincent and the Grenadines  VC   \n",
       "64   65                          Suriname  SR   \n",
       "65   66               Trinidad and Tobago  TT   \n",
       "68   69                         Venezuela  VE   \n",
       "\n",
       "                          COUNTRYAFF AFF_ISO  SHAPE_Leng  SHAPE_Area  \\\n",
       "14                         Argentina      AR  138.751348  278.308965   \n",
       "15                    United Kingdom      GB   19.082564    1.495383   \n",
       "16                             Chile      CL  331.249881   77.692992   \n",
       "17                           Ecuador      EC   35.220537   20.753615   \n",
       "18                              Peru      PE   68.285384  106.500858   \n",
       "19                           Bolivia      BO   52.483687   92.190105   \n",
       "20                            Brazil      BR  248.756715  707.050676   \n",
       "21                          Paraguay      PY   30.891884   35.208739   \n",
       "22                           Uruguay      UY   18.486971   17.126245   \n",
       "29                             Aruba      AW    0.610340    0.016598   \n",
       "31                          Barbados      BB    0.813985    0.037212   \n",
       "34                       Netherlands      NL    0.828287    0.026260   \n",
       "37                          Colombia      CO   70.687532   92.580490   \n",
       "38                        Costa Rica      CR   14.717325    4.211863   \n",
       "40                       Netherlands      NL    1.160393    0.039249   \n",
       "41                          Dominica      DM    1.097118    0.064835   \n",
       "43                            France      FR   12.253085    6.807577   \n",
       "44                           Grenada      GD    0.681409    0.028753   \n",
       "46                            Guyana      GY   25.707599   17.175215   \n",
       "48                          Honduras      HN   20.971747    9.422324   \n",
       "50                            France      FR    1.379038    0.096314   \n",
       "52                         Nicaragua      NI   18.030674   10.668797   \n",
       "53                            Panama      PA   25.300755    6.088301   \n",
       "59                       Saint Lucia      LC    0.952988    0.053124   \n",
       "62  Saint Vincent and the Grenadines      VC    0.649527    0.028545   \n",
       "64                          Suriname      SR   17.126613   11.810421   \n",
       "65               Trinidad and Tobago      TT    4.384972    0.413753   \n",
       "68                         Venezuela      VE   76.947448   74.628377   \n",
       "\n",
       "                                             geometry  \\\n",
       "14  MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...   \n",
       "15  MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...   \n",
       "16  MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...   \n",
       "17  MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...   \n",
       "18  POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...   \n",
       "19  POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...   \n",
       "20  MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...   \n",
       "21  POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...   \n",
       "22  POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...   \n",
       "29  POLYGON ((-69.88224 12.41111, -69.94695 12.436...   \n",
       "31  POLYGON ((-59.53305 13.05055, -59.54542 13.069...   \n",
       "34  POLYGON ((-68.25111 12.02055, -68.25751 12.024...   \n",
       "37  MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...   \n",
       "38  POLYGON ((-85.22679 9.72734, -85.27848 9.78597...   \n",
       "40  POLYGON ((-68.74695 12.04027, -68.79889 12.040...   \n",
       "41  POLYGON ((-61.36362 15.19805, -61.37410 15.204...   \n",
       "43  POLYGON ((-54.60378 2.32919, -54.49917 2.36500...   \n",
       "44  POLYGON ((-61.61000 12.22777, -61.60556 12.222...   \n",
       "46  POLYGON ((-58.17262 6.81222, -58.15494 6.82819...   \n",
       "48  MULTIPOLYGON (((-86.76421 13.71069, -86.75084 ...   \n",
       "50  POLYGON ((-60.86084 14.40277, -60.88695 14.465...   \n",
       "52  POLYGON ((-83.13185 14.99298, -83.19667 14.956...   \n",
       "53  MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...   \n",
       "59  POLYGON ((-60.95473 13.70945, -60.95612 13.715...   \n",
       "62  POLYGON ((-61.18445 13.13028, -61.24362 13.156...   \n",
       "64  POLYGON ((-55.12796 5.82217, -55.10445 5.83944...   \n",
       "65  MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...   \n",
       "68  MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...   \n",
       "\n",
       "                             country mean_mort_total      perc_2.5  \\\n",
       "14                         Argentina      6415.41919  11107.276308   \n",
       "15                  Falkland Islands       -0.001444      0.011813   \n",
       "16                             Chile     5046.293173   8737.761182   \n",
       "17                           Ecuador      824.003691    1429.31338   \n",
       "18                              Peru     2462.847221   4267.025574   \n",
       "19                           Bolivia     4703.163719   8104.436348   \n",
       "20                            Brazil    39158.616983  67765.147202   \n",
       "21                          Paraguay     2399.935993   4159.353237   \n",
       "22                           Uruguay      287.489311     498.48882   \n",
       "29                             Aruba        3.637388      6.977792   \n",
       "31                          Barbados       37.915884     68.684189   \n",
       "34                           Bonaire        0.812993      1.509798   \n",
       "37                          Colombia     5862.670074  10198.889121   \n",
       "38                        Costa Rica       115.13673    201.116743   \n",
       "40                           Curacao         6.90939     12.711612   \n",
       "41                          Dominica        0.192154      0.366717   \n",
       "43                     French Guiana        23.91099     41.603019   \n",
       "44                           Grenada        7.377748     13.271661   \n",
       "46                            Guyana       77.593155     135.00063   \n",
       "48                          Honduras        3.575545      6.173937   \n",
       "50                        Martinique       15.520109     31.777122   \n",
       "52                         Nicaragua       41.222051     71.663162   \n",
       "53                            Panama       111.86284    194.400497   \n",
       "59                       Saint Lucia        8.427202     16.985605   \n",
       "62  Saint Vincent and the Grenadines        8.098426     15.055088   \n",
       "64                          Suriname       42.514732     73.983046   \n",
       "65               Trinidad and Tobago      116.154635     202.13329   \n",
       "68                         Venezuela     4014.030381   6985.160747   \n",
       "\n",
       "       perc_97.5 mean_mort_TIs perc_2.5_TIs perc_97.5_TIs  \n",
       "14   1677.625573          -0.0         -0.0          -0.0  \n",
       "15     -0.014669          -0.0         -0.0          -0.0  \n",
       "16   1272.270707          -0.0         -0.0          -0.0  \n",
       "17    214.374373       39.4842    68.502295     10.633693  \n",
       "18    643.181248    489.664344   848.277403    127.889291  \n",
       "19   1244.041382    423.148968   727.955439    110.292142  \n",
       "20  10152.342027    241.199864   415.177954     63.031802  \n",
       "21    611.119847          -0.0         -0.0          -0.0  \n",
       "22      75.67324          -0.0         -0.0          -0.0  \n",
       "29      0.267885          -0.0         -0.0          -0.0  \n",
       "31      6.739606          -0.0         -0.0          -0.0  \n",
       "34      0.109366          -0.0         -0.0          -0.0  \n",
       "37   1473.117295     78.243083    135.60014     20.237966  \n",
       "38      28.31485          -0.0         -0.0          -0.0  \n",
       "40      1.050786          -0.0         -0.0          -0.0  \n",
       "41      0.020586          -0.0         -0.0          -0.0  \n",
       "43      6.038991      0.982506     1.708974      0.248535  \n",
       "44       1.41228          -0.0         -0.0          -0.0  \n",
       "46     19.585997      3.782457     6.573555      0.965121  \n",
       "48       1.01134          -0.0         -0.0          -0.0  \n",
       "50      -0.88192          -0.0         -0.0          -0.0  \n",
       "52     10.492103          -0.0         -0.0          -0.0  \n",
       "53     28.647689          -0.0         -0.0          -0.0  \n",
       "59     -0.210683          -0.0         -0.0          -0.0  \n",
       "62      1.059802          -0.0         -0.0          -0.0  \n",
       "64     10.728237      0.002729     0.004734      0.000708  \n",
       "65     29.204587          -0.0         -0.0          -0.0  \n",
       "68   1005.986358     79.831615   138.582652     20.421674  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## getting excess mortality plotted\n",
    "\n",
    "countries_vodonos2014_2019totals=countries.merge(country_2014_2019sumtotal,left_on='COUNTRY',right_on='country',how='outer')\n",
    "countries_vodonos2014_2019totals = countries_vodonos2014_2019totals[countries_vodonos2014_2019totals['country'].notna()]\n",
    "countries_vodonos2014_2019totals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "897782d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>COUNTRYAFF</th>\n",
       "      <th>AFF_ISO</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>SHAPE_Area</th>\n",
       "      <th>geometry</th>\n",
       "      <th>country</th>\n",
       "      <th>mean_mort_total</th>\n",
       "      <th>perc_2.5</th>\n",
       "      <th>perc_97.5</th>\n",
       "      <th>mean_mort_TIs</th>\n",
       "      <th>perc_2.5_TIs</th>\n",
       "      <th>perc_97.5_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>138.751348</td>\n",
       "      <td>278.308965</td>\n",
       "      <td>MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>6415.41919</td>\n",
       "      <td>11107.276308</td>\n",
       "      <td>1677.625573</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>FK</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>19.082564</td>\n",
       "      <td>1.495383</td>\n",
       "      <td>MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...</td>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>-0.001444</td>\n",
       "      <td>0.011813</td>\n",
       "      <td>-0.014669</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>331.249881</td>\n",
       "      <td>77.692992</td>\n",
       "      <td>MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...</td>\n",
       "      <td>Chile</td>\n",
       "      <td>5046.293173</td>\n",
       "      <td>8737.761182</td>\n",
       "      <td>1272.270707</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>35.220537</td>\n",
       "      <td>20.753615</td>\n",
       "      <td>MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>824.003691</td>\n",
       "      <td>1429.31338</td>\n",
       "      <td>214.374373</td>\n",
       "      <td>39.4842</td>\n",
       "      <td>68.502295</td>\n",
       "      <td>10.633693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>68.285384</td>\n",
       "      <td>106.500858</td>\n",
       "      <td>POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...</td>\n",
       "      <td>Peru</td>\n",
       "      <td>2462.847221</td>\n",
       "      <td>4267.025574</td>\n",
       "      <td>643.181248</td>\n",
       "      <td>489.664344</td>\n",
       "      <td>848.277403</td>\n",
       "      <td>127.889291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>52.483687</td>\n",
       "      <td>92.190105</td>\n",
       "      <td>POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>4703.163719</td>\n",
       "      <td>8104.436348</td>\n",
       "      <td>1244.041382</td>\n",
       "      <td>423.148968</td>\n",
       "      <td>727.955439</td>\n",
       "      <td>110.292142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>248.756715</td>\n",
       "      <td>707.050676</td>\n",
       "      <td>MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>39158.616983</td>\n",
       "      <td>67765.147202</td>\n",
       "      <td>10152.342027</td>\n",
       "      <td>241.199864</td>\n",
       "      <td>415.177954</td>\n",
       "      <td>63.031802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>30.891884</td>\n",
       "      <td>35.208739</td>\n",
       "      <td>POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>2399.935993</td>\n",
       "      <td>4159.353237</td>\n",
       "      <td>611.119847</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>18.486971</td>\n",
       "      <td>17.126245</td>\n",
       "      <td>POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>287.489311</td>\n",
       "      <td>498.48882</td>\n",
       "      <td>75.67324</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>0.610340</td>\n",
       "      <td>0.016598</td>\n",
       "      <td>POLYGON ((-69.88224 12.41111, -69.94695 12.436...</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>3.637388</td>\n",
       "      <td>6.977792</td>\n",
       "      <td>0.267885</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>Barbados</td>\n",
       "      <td>BB</td>\n",
       "      <td>Barbados</td>\n",
       "      <td>BB</td>\n",
       "      <td>0.813985</td>\n",
       "      <td>0.037212</td>\n",
       "      <td>POLYGON ((-59.53305 13.05055, -59.54542 13.069...</td>\n",
       "      <td>Barbados</td>\n",
       "      <td>37.915884</td>\n",
       "      <td>68.684189</td>\n",
       "      <td>6.739606</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>BQ</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>0.828287</td>\n",
       "      <td>0.026260</td>\n",
       "      <td>POLYGON ((-68.25111 12.02055, -68.25751 12.024...</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>0.812993</td>\n",
       "      <td>1.509798</td>\n",
       "      <td>0.109366</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>70.687532</td>\n",
       "      <td>92.580490</td>\n",
       "      <td>MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>5862.670074</td>\n",
       "      <td>10198.889121</td>\n",
       "      <td>1473.117295</td>\n",
       "      <td>78.243083</td>\n",
       "      <td>135.60014</td>\n",
       "      <td>20.237966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>CR</td>\n",
       "      <td>14.717325</td>\n",
       "      <td>4.211863</td>\n",
       "      <td>POLYGON ((-85.22679 9.72734, -85.27848 9.78597...</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>115.13673</td>\n",
       "      <td>201.116743</td>\n",
       "      <td>28.31485</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>CW</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>1.160393</td>\n",
       "      <td>0.039249</td>\n",
       "      <td>POLYGON ((-68.74695 12.04027, -68.79889 12.040...</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>6.90939</td>\n",
       "      <td>12.711612</td>\n",
       "      <td>1.050786</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>DM</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>DM</td>\n",
       "      <td>1.097118</td>\n",
       "      <td>0.064835</td>\n",
       "      <td>POLYGON ((-61.36362 15.19805, -61.37410 15.204...</td>\n",
       "      <td>Dominica</td>\n",
       "      <td>0.192154</td>\n",
       "      <td>0.366717</td>\n",
       "      <td>0.020586</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>GF</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>12.253085</td>\n",
       "      <td>6.807577</td>\n",
       "      <td>POLYGON ((-54.60378 2.32919, -54.49917 2.36500...</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>23.91099</td>\n",
       "      <td>41.603019</td>\n",
       "      <td>6.038991</td>\n",
       "      <td>0.982506</td>\n",
       "      <td>1.708974</td>\n",
       "      <td>0.248535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>Grenada</td>\n",
       "      <td>GD</td>\n",
       "      <td>Grenada</td>\n",
       "      <td>GD</td>\n",
       "      <td>0.681409</td>\n",
       "      <td>0.028753</td>\n",
       "      <td>POLYGON ((-61.61000 12.22777, -61.60556 12.222...</td>\n",
       "      <td>Grenada</td>\n",
       "      <td>7.377748</td>\n",
       "      <td>13.271661</td>\n",
       "      <td>1.41228</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>25.707599</td>\n",
       "      <td>17.175215</td>\n",
       "      <td>POLYGON ((-58.17262 6.81222, -58.15494 6.82819...</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>77.593155</td>\n",
       "      <td>135.00063</td>\n",
       "      <td>19.585997</td>\n",
       "      <td>3.782457</td>\n",
       "      <td>6.573555</td>\n",
       "      <td>0.965121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>49</td>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td>Honduras</td>\n",
       "      <td>HN</td>\n",
       "      <td>20.971747</td>\n",
       "      <td>9.422324</td>\n",
       "      <td>MULTIPOLYGON (((-86.76421 13.71069, -86.75084 ...</td>\n",
       "      <td>Honduras</td>\n",
       "      <td>3.575545</td>\n",
       "      <td>6.173937</td>\n",
       "      <td>1.01134</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>51</td>\n",
       "      <td>Martinique</td>\n",
       "      <td>MQ</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>1.379038</td>\n",
       "      <td>0.096314</td>\n",
       "      <td>POLYGON ((-60.86084 14.40277, -60.88695 14.465...</td>\n",
       "      <td>Martinique</td>\n",
       "      <td>15.520109</td>\n",
       "      <td>31.777122</td>\n",
       "      <td>-0.88192</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>53</td>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>NI</td>\n",
       "      <td>18.030674</td>\n",
       "      <td>10.668797</td>\n",
       "      <td>POLYGON ((-83.13185 14.99298, -83.19667 14.956...</td>\n",
       "      <td>Nicaragua</td>\n",
       "      <td>41.222051</td>\n",
       "      <td>71.663162</td>\n",
       "      <td>10.492103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>25.300755</td>\n",
       "      <td>6.088301</td>\n",
       "      <td>MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...</td>\n",
       "      <td>Panama</td>\n",
       "      <td>111.86284</td>\n",
       "      <td>194.400497</td>\n",
       "      <td>28.647689</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>60</td>\n",
       "      <td>Saint Lucia</td>\n",
       "      <td>LC</td>\n",
       "      <td>Saint Lucia</td>\n",
       "      <td>LC</td>\n",
       "      <td>0.952988</td>\n",
       "      <td>0.053124</td>\n",
       "      <td>POLYGON ((-60.95473 13.70945, -60.95612 13.715...</td>\n",
       "      <td>Saint Lucia</td>\n",
       "      <td>8.427202</td>\n",
       "      <td>16.985605</td>\n",
       "      <td>-0.210683</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>63</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>VC</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>VC</td>\n",
       "      <td>0.649527</td>\n",
       "      <td>0.028545</td>\n",
       "      <td>POLYGON ((-61.18445 13.13028, -61.24362 13.156...</td>\n",
       "      <td>Saint Vincent and the Grenadines</td>\n",
       "      <td>8.098426</td>\n",
       "      <td>15.055088</td>\n",
       "      <td>1.059802</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>65</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>17.126613</td>\n",
       "      <td>11.810421</td>\n",
       "      <td>POLYGON ((-55.12796 5.82217, -55.10445 5.83944...</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>42.514732</td>\n",
       "      <td>73.983046</td>\n",
       "      <td>10.728237</td>\n",
       "      <td>0.002729</td>\n",
       "      <td>0.004734</td>\n",
       "      <td>0.000708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>66</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>4.384972</td>\n",
       "      <td>0.413753</td>\n",
       "      <td>MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>116.154635</td>\n",
       "      <td>202.13329</td>\n",
       "      <td>29.204587</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>69</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>76.947448</td>\n",
       "      <td>74.628377</td>\n",
       "      <td>MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>4014.030381</td>\n",
       "      <td>6985.160747</td>\n",
       "      <td>1005.986358</td>\n",
       "      <td>79.831615</td>\n",
       "      <td>138.582652</td>\n",
       "      <td>20.421674</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    FID                           COUNTRY ISO  \\\n",
       "14   15                         Argentina  AR   \n",
       "15   16                  Falkland Islands  FK   \n",
       "16   17                             Chile  CL   \n",
       "17   18                           Ecuador  EC   \n",
       "18   19                              Peru  PE   \n",
       "19   20                           Bolivia  BO   \n",
       "20   21                            Brazil  BR   \n",
       "21   22                          Paraguay  PY   \n",
       "22   23                           Uruguay  UY   \n",
       "29   30                             Aruba  AW   \n",
       "31   32                          Barbados  BB   \n",
       "34   35                           Bonaire  BQ   \n",
       "37   38                          Colombia  CO   \n",
       "38   39                        Costa Rica  CR   \n",
       "40   41                           Curacao  CW   \n",
       "41   42                          Dominica  DM   \n",
       "43   44                     French Guiana  GF   \n",
       "44   45                           Grenada  GD   \n",
       "46   47                            Guyana  GY   \n",
       "48   49                          Honduras  HN   \n",
       "50   51                        Martinique  MQ   \n",
       "52   53                         Nicaragua  NI   \n",
       "53   54                            Panama  PA   \n",
       "59   60                       Saint Lucia  LC   \n",
       "62   63  Saint Vincent and the Grenadines  VC   \n",
       "64   65                          Suriname  SR   \n",
       "65   66               Trinidad and Tobago  TT   \n",
       "68   69                         Venezuela  VE   \n",
       "\n",
       "                          COUNTRYAFF AFF_ISO  SHAPE_Leng  SHAPE_Area  \\\n",
       "14                         Argentina      AR  138.751348  278.308965   \n",
       "15                    United Kingdom      GB   19.082564    1.495383   \n",
       "16                             Chile      CL  331.249881   77.692992   \n",
       "17                           Ecuador      EC   35.220537   20.753615   \n",
       "18                              Peru      PE   68.285384  106.500858   \n",
       "19                           Bolivia      BO   52.483687   92.190105   \n",
       "20                            Brazil      BR  248.756715  707.050676   \n",
       "21                          Paraguay      PY   30.891884   35.208739   \n",
       "22                           Uruguay      UY   18.486971   17.126245   \n",
       "29                             Aruba      AW    0.610340    0.016598   \n",
       "31                          Barbados      BB    0.813985    0.037212   \n",
       "34                       Netherlands      NL    0.828287    0.026260   \n",
       "37                          Colombia      CO   70.687532   92.580490   \n",
       "38                        Costa Rica      CR   14.717325    4.211863   \n",
       "40                       Netherlands      NL    1.160393    0.039249   \n",
       "41                          Dominica      DM    1.097118    0.064835   \n",
       "43                            France      FR   12.253085    6.807577   \n",
       "44                           Grenada      GD    0.681409    0.028753   \n",
       "46                            Guyana      GY   25.707599   17.175215   \n",
       "48                          Honduras      HN   20.971747    9.422324   \n",
       "50                            France      FR    1.379038    0.096314   \n",
       "52                         Nicaragua      NI   18.030674   10.668797   \n",
       "53                            Panama      PA   25.300755    6.088301   \n",
       "59                       Saint Lucia      LC    0.952988    0.053124   \n",
       "62  Saint Vincent and the Grenadines      VC    0.649527    0.028545   \n",
       "64                          Suriname      SR   17.126613   11.810421   \n",
       "65               Trinidad and Tobago      TT    4.384972    0.413753   \n",
       "68                         Venezuela      VE   76.947448   74.628377   \n",
       "\n",
       "                                             geometry  \\\n",
       "14  MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...   \n",
       "15  MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...   \n",
       "16  MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...   \n",
       "17  MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...   \n",
       "18  POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...   \n",
       "19  POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...   \n",
       "20  MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...   \n",
       "21  POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...   \n",
       "22  POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...   \n",
       "29  POLYGON ((-69.88224 12.41111, -69.94695 12.436...   \n",
       "31  POLYGON ((-59.53305 13.05055, -59.54542 13.069...   \n",
       "34  POLYGON ((-68.25111 12.02055, -68.25751 12.024...   \n",
       "37  MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...   \n",
       "38  POLYGON ((-85.22679 9.72734, -85.27848 9.78597...   \n",
       "40  POLYGON ((-68.74695 12.04027, -68.79889 12.040...   \n",
       "41  POLYGON ((-61.36362 15.19805, -61.37410 15.204...   \n",
       "43  POLYGON ((-54.60378 2.32919, -54.49917 2.36500...   \n",
       "44  POLYGON ((-61.61000 12.22777, -61.60556 12.222...   \n",
       "46  POLYGON ((-58.17262 6.81222, -58.15494 6.82819...   \n",
       "48  MULTIPOLYGON (((-86.76421 13.71069, -86.75084 ...   \n",
       "50  POLYGON ((-60.86084 14.40277, -60.88695 14.465...   \n",
       "52  POLYGON ((-83.13185 14.99298, -83.19667 14.956...   \n",
       "53  MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...   \n",
       "59  POLYGON ((-60.95473 13.70945, -60.95612 13.715...   \n",
       "62  POLYGON ((-61.18445 13.13028, -61.24362 13.156...   \n",
       "64  POLYGON ((-55.12796 5.82217, -55.10445 5.83944...   \n",
       "65  MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...   \n",
       "68  MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...   \n",
       "\n",
       "                             country mean_mort_total      perc_2.5  \\\n",
       "14                         Argentina      6415.41919  11107.276308   \n",
       "15                  Falkland Islands       -0.001444      0.011813   \n",
       "16                             Chile     5046.293173   8737.761182   \n",
       "17                           Ecuador      824.003691    1429.31338   \n",
       "18                              Peru     2462.847221   4267.025574   \n",
       "19                           Bolivia     4703.163719   8104.436348   \n",
       "20                            Brazil    39158.616983  67765.147202   \n",
       "21                          Paraguay     2399.935993   4159.353237   \n",
       "22                           Uruguay      287.489311     498.48882   \n",
       "29                             Aruba        3.637388      6.977792   \n",
       "31                          Barbados       37.915884     68.684189   \n",
       "34                           Bonaire        0.812993      1.509798   \n",
       "37                          Colombia     5862.670074  10198.889121   \n",
       "38                        Costa Rica       115.13673    201.116743   \n",
       "40                           Curacao         6.90939     12.711612   \n",
       "41                          Dominica        0.192154      0.366717   \n",
       "43                     French Guiana        23.91099     41.603019   \n",
       "44                           Grenada        7.377748     13.271661   \n",
       "46                            Guyana       77.593155     135.00063   \n",
       "48                          Honduras        3.575545      6.173937   \n",
       "50                        Martinique       15.520109     31.777122   \n",
       "52                         Nicaragua       41.222051     71.663162   \n",
       "53                            Panama       111.86284    194.400497   \n",
       "59                       Saint Lucia        8.427202     16.985605   \n",
       "62  Saint Vincent and the Grenadines        8.098426     15.055088   \n",
       "64                          Suriname       42.514732     73.983046   \n",
       "65               Trinidad and Tobago      116.154635     202.13329   \n",
       "68                         Venezuela     4014.030381   6985.160747   \n",
       "\n",
       "       perc_97.5 mean_mort_TIs perc_2.5_TIs perc_97.5_TIs  \n",
       "14   1677.625573           NaN         -0.0          -0.0  \n",
       "15     -0.014669           NaN         -0.0          -0.0  \n",
       "16   1272.270707           NaN         -0.0          -0.0  \n",
       "17    214.374373       39.4842    68.502295     10.633693  \n",
       "18    643.181248    489.664344   848.277403    127.889291  \n",
       "19   1244.041382    423.148968   727.955439    110.292142  \n",
       "20  10152.342027    241.199864   415.177954     63.031802  \n",
       "21    611.119847           NaN         -0.0          -0.0  \n",
       "22      75.67324           NaN         -0.0          -0.0  \n",
       "29      0.267885           NaN         -0.0          -0.0  \n",
       "31      6.739606           NaN         -0.0          -0.0  \n",
       "34      0.109366           NaN         -0.0          -0.0  \n",
       "37   1473.117295     78.243083    135.60014     20.237966  \n",
       "38      28.31485           NaN         -0.0          -0.0  \n",
       "40      1.050786           NaN         -0.0          -0.0  \n",
       "41      0.020586           NaN         -0.0          -0.0  \n",
       "43      6.038991      0.982506     1.708974      0.248535  \n",
       "44       1.41228           NaN         -0.0          -0.0  \n",
       "46     19.585997      3.782457     6.573555      0.965121  \n",
       "48       1.01134           NaN         -0.0          -0.0  \n",
       "50      -0.88192           NaN         -0.0          -0.0  \n",
       "52     10.492103           NaN         -0.0          -0.0  \n",
       "53     28.647689           NaN         -0.0          -0.0  \n",
       "59     -0.210683           NaN         -0.0          -0.0  \n",
       "62      1.059802           NaN         -0.0          -0.0  \n",
       "64     10.728237      0.002729     0.004734      0.000708  \n",
       "65     29.204587           NaN         -0.0          -0.0  \n",
       "68   1005.986358     79.831615   138.582652     20.421674  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries_vodonos2014_2019totals['mean_mort_TIs'][countries_vodonos2014_2019totals['mean_mort_TIs']==0]=np.nan\n",
    "countries_vodonos2014_2019totals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "b26a677c",
   "metadata": {},
   "outputs": [],
   "source": [
    "indterr_map = gpd.read_file('../AQ_Amazon_files/Tis_2020/Tis_TerritoriosIndigenas.shp')\n",
    "#indterr_map.to_crs(ccrs.PlateCarree()).boundary.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b069e97b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "7bb71a58",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/pandas/core/algorithms.py:798: FutureWarning: In a future version, the Index constructor will not infer numeric dtypes when passed object-dtype sequences (matching Series behavior)\n",
      "  uniques = Index(uniques)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/pandas/core/algorithms.py:798: FutureWarning: In a future version, the Index constructor will not infer numeric dtypes when passed object-dtype sequences (matching Series behavior)\n",
      "  uniques = Index(uniques)\n"
     ]
    },
    {
     "data": {
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3787vy7usb7+Uvu9n991Xz30kFwC7pTz5QEopu//AyTPrH6aOythDUxbun9y4Jrn8ruSK63e5yKv88Ksp1146+Ay1Wmo/+lpq5/xmynf/d3QWmW3Q053y2X9IWfREs5OwmdLTnfKpv0rtb89Oua7u14EAAAAAgFFj+BWajZuaTJgx+HZKLZl7xeDbgRGmlJKb/vwf8uOTX59f/MYfZe7XfpCu1Wt26bHLbru3wel23+HPPSHluhvSNW/+bj+2+6klefITnx5Qv6W7O0u+eknuP/3VWf6jwQ+eDWcL/ub8ZkcYlUopWf/Qw1l28Q+y4J/+fZuB6cVf+HoWfuxTSZKn/vvLzYg4rFT7HJCqqpodAwAAAHaoqqoLk8xJ70xiSXJ5kvOSnJrkiFJKlWR63+1z0juj2QZnp7co7MIGRDslyYV9RUgbCpDOqqrqjKqqTumb/WzDzzCtr4DprKqqzq2q6rLNisvO6tvsvFLKRfUK19fX7PTuu3PTO+PbRUne1Ldc1Lfu3GwqnDtre+3J1ZxcAKNduf17KV/9o5QvvS3l+i+lLHts1x/85O5fAHKolIxNZj+W3H93sm7tgNqofe78lHW7Nt7Yb4b7bkvtI3+YctHHktUrB9zOiNK5PuWL/9rsFC2lrFiWcuu1qX378ym3X7/t/Z/5aMoVP0iS1L73xSFOBwAAAAAjx5hmB9jC1GNTrrozWbEiecZJqQ6cmKyc01s0NgDlzm8kR/1GqrET6xwUhqdSSm457xO5/9NfS5I88fOr88TPr86YyZNyyBvPzOG//7rs99LT0tbe3u/jH/veMLtyW5VMX7siXYNoYvHnv5b9PvQXad9zj13avrZ+fZb93/fy5L99Np0PzxtEzyPHyl9enZVXXJ2pL3l+s6OMGl0Lnsx9z35FejpWJEmqsWOz5yvPyKRnPD1JUlu3Pgs++m8bt19z061ZP/fRjJ91aFPyAgAAADvWN2vU7PTOVjY3vYVYl/S3bSmlI70FZrckuaiqqjPSW8Q1rW+Ts6uq+u0kp5ZS5jYg7il9yxZ24wIv59SryKyvwG3z2dEuSfInfftoc5dstv3/pLfg7eKqqra3vVxDmAugFZRbv5Pyy3/vvbHk4ZRrPpdc87mUfY5KdczLkmNemmrP/bf/+AeG8QVQa7OSZdcNro3FC1Mu/26qV791lx9SenqSm36d2ne/kNx76+D6H6HK1T9LefVbUh13arOjjHo95741ue+2TSte8JvJsSenGj8hSVLm3Jty2bc33X/vrSnzH0510OFDGxQAAAAARoDhUWg2ce+UBWOSX1+9ad0tt6XckmTmzFSnHJu0PZWsXbJ77a5ZknLbl1M965y6xoXh6q6PX5R7PvH5bdZ3r16TuV/5fuZ+5fuZuP/eOezNr84Bv/GCTD5ov6RK1i5cnPbx4/LEz67up9XmedpLTknXjTcMqo2xB+yXtj2m9ntfbd36dD7yWNr3mpaux57IisuvzOILv5zuRYsH1edItPBjn8qUFz/PjFJ1suLnv9pYZJYkpasrD7zo9Zn+5jdm+m+/NquuuCY9S5Zu8ZieVauHOiYAAAANUiVpa3aIEWy4nZ2oquqUJL9Ib6HYeaWUC3bn8aWUy6uqOjWbCtXS93V2VVUvK6Xcsr3HDrG5Sd5Urzx9xXmXJZnVt2qnBWx9BVJvqqrq7CQXpreA6pSqqk6tV/GUXABsrdz23U1FZltb9GDKogeTq/47Zb+npTrmpcn+xycT9khSktVLknGTkoeuHNLMu6qM2Tu5qj4fNapDjtx+P6tXJksXJVOnJU89kXLHjSk//Way6PG69D2S1b7072n7+FeMwTVQmT93yyKzJOWqn6bcfXOq17891ZHHp/aNz277wLXG5gAAAEYy43GD40wFsCPNLzSbMCvlV3OTdev6v3/x4pRLr06qKjn5xFQHlGTVE7ve/l0Xp0w7PDn8hanGTKhPZhiGFt94R2778L/tdLu1C57KA5/9v0x/+tEZP32PtI0bm+lPPzp3/ONnU+sazNxh9bXngftk7J13pAyync65j2bNjbdm8nO2vIjz2rvvy4NnvCk1xT1JktXXz86qK67O1Je+oNlRhlSp1fL4uR9Nx3d+nLS1Zcrzn5MD//mvMnb/fQfV7pQXPCf7ffg9WXPLnVl7xz3pWbUqe7/rHVnyxW9k2de/vc32M9/5tkx8+tMG1ScAAABQf30zRm0oMjuzlHL5QNoppcytqupN6S0k2mBakl9UVXX4MCgKuqiUUrcrtvXtt90qmtpcKeWivn/GvrCvjdn1KJ6SC4CtlSfvT/nFzsfXkiQL701ZtzLVvscknauSsROTfY5OufYLSXdnY4MOQCltyUPdSef6+rR3+XdTnficbdbXLv9uyqf/Lunprks/o869tyY3/Sp59kuanaSpSuf6lP/625Rbr0lSJU97Rtre/KepDj9m8I3vOSPVOX+V3H9HyiP3J/PnJic/L9X0mSlf+ES/483V69+eHHn84PsGAAAAgFGo6YVm5apbkum7UABWSnLr7Sn3TUx1xonJijm73sfVFyS3fillv7PS9sI3DCItDE+1np7M+eJ3dmnbKbMOzou+81+ZcdKxG9f1dHbm4a/+oFHxBqDkiEOnpeuO+lzlcOlXL9mm0Gzi8cdmj1e8JB3f/lFd+hgNFn7sPzLlJc9vqSsqdj+1JN1Ll6XUSnqeeiod3/5Rpr3hlZn2ut8YVLvjjzgs+33oPRtvl1otVVtbpv3Wq/LQK34nPcuWp23SxEw47uhMfcnzs99fv7el9jsAAACMIP+T3oKwNw20yGyDvpnNLk9yxmarp/X18aZBND03mwqUdtcl6Z2lbe4g+u/PL7Ip00W7UzS1QV/x1JnpnaVrVpKLk5wp15DmAhjVSq075c7dGCc65mWpzvxAqvGTN7XRtS6552cNSFcHPUcmj15ft+bKNT9P+eMPptpj2hbrq5e8NuWS/0meeLRufY02ta98Km2nvjBVe3uzozTPosdT1q9Naj3JyuXJ9ZenHHVCXQrNqqnTUr3qLcmr3pJk07hcktT2Pzjly5/s3XDqnsnBR6R61otSvfGPjM0BAAAAwHY0vdBst61dm3LNg6lOnpj07MbV19qnpFz8HymnvzrVmLGNywdD7Mmrbs7N7/mnLL31np1u2zZ2bH7z+m9lwt4ztlj/+E+uzPrFyxoVcbcddtoJ6brjtrq1t+zbP8oBH//rtE+etMX6sfvtXbc+Rrr2vWakGjc2PcuWZ8yMac2OM2TG7rt3DvvCp1Jqtax/6JGM2XuvjJm+Z9372TCYNfFpR2fWtz6X1Tfckr3e/jtp33OPuvcFAAAA1EdVVaekt2jnklLKJXVq9sJsWWiWJGdVVTVrEMVeF5ZSLqiq6oz0FhadkuSZ6S1i29otSW5Oclkdf6YtVFV1dl+GDc4bRHN/kt7nIEnOqKrq7IEUYckFwOZKKcnca1Ou/GyydBeLo455WapX/e22hSkP/CpZv6ruGQertO+VXDO7vo12daZc8f1Ur3vbFqur9vZk2l4KzbZnj+nJHtOSpxYk+x3U7DRNUx00K+0f6h2Ty4J5yZQ9Uu05Y+cPHEhffeNySdJ21p+kNn5iqul7J6e91P+KAAAAAMAuGHmFZkmydGky9gVJz727/pjSmaxcljxwa3LcsxuXDYbIqkfm59YP/Vse+caPd/kxU486NBP2npGVDz+WqYcfvHH9Y9+9rBERB6ZKZqxZlq46NllbuSod3/pB9nrH727Z1YRdmE2xRRz8H/+Uaa99RbNjNE3V1pYJRw/0wt+7Z/Jpp2byaacOSV/DSenpTrn+lylz70u59ZpkyaJkzJi0/9V/pJr1tGbHAwAAgP6c0/d1aVVV5ya5vJRyyyDb3N6saOdt1t+A9M24tkX7VVVN67uvYzBt76q+/i7cbNUFg+m7lNJRVdVFSc7uW3VhVVXf2t025Rqa5x9guCulJAvuTrnqv5P5t+/WY6uDTkpq3Smrl6baY99NbT7wy3rHrI/FU5Lueo629So//r+UV71l22Kd8RPr3tdo0fbef0516guaHWPYqNrakgMPG9I+217ze0PaHwAAAACMdCOz0CxJ+flVqZ77rGTG+KRak5TJSelIVi/YtFHbmGTKYcn6sSm39l4Mttx9fSqFZoxwD3/9h7n69z6QlLJbj1t+75z8+JlvzNLZd+fkj70vT//QOelcsSrzf3hFg5LuvqNecFK6brm57u0++a+fyR6vPiNj956ZJOlauCgrfvKLuvczUpXu7mZHYBQpC+al9tNvJcuXJiuWpaxdnTy1MHly/pYbHnZ0cujRzQkJAAAAO7dh5rENRTupquqCUsqAZ5zqKwTqyLazjW09y1ldNKHA6ENb3b6w3612z4XZ7Dno62N3nwO5AEj5yUeT+7ZX872Tx87+ZnLtF5Lu9clr/ynVYc9KWbkoebT+Y1qDVcYcnNxxa2MaX/hYynf+N9Vvb3qrKffdnjx0V2P6Gw266l/wBwAAAADQSCO20CxJynU3bbli7NhUr3hOsvaRZOJhKdfflyy+fsvHPHz30AWEBuhZ35mJB+yTQ9/0G3n0Wz/dvQeXkqWze18Dd/zdf2bp7Luz4oGH07lseQOS7r72cWMyZcFjaUTJU+ej8/PgS96YQ7/4nxl3yAF58Mw3pfORxxrQ08i08rJfZ/obX9XsGOymntVr0r3gyd73v7Fj0jZxYsZM3zNJUmq1rL7u5iz/yS+y9s57UtZ3ZszMGb3LPjMz7tCDM+GYIzPhuKPTPnlSv+3XOjuz7r6Hsv6hh5Oenow/alYmnXzCFtuUxQtT+7/PJgvmpazsSFYtT5YuTnp28kqePDXtf3lBqvb2euwKAAAAaIT+pj8/t6qqfx5kAdfcJKfsQl8jSt/sXOdutmpuKWXuYNstpdyyVXHeudmNwim5di8XwGhVVj6V6hlnpTx+R7Jy0e430PH4prZ+9k8pB5yQLHow6RleRUSlJHlgRWP7+OqnUlswL9WffDC577bUPvYXSef6hvY5kpWbfpXqtJc2OwZ1VFatSFYsS9rHJGPGJGPHpdpj+qb7F85PufGKlHtuSZYuSiZOTrXHtGSP6cm0mck+B6Q6eFZy0KxU48b330cpyeKFyaMPpqxemSSpnvWiVJOmDMWPCAAAAECLG9GFZtvo6kr50dVJ1ZaU+f1v89DtKZ3rUo2bMLTZYJBKKZn/oysy+30fz6q5j6XUaoNqr9bZlXnf/nmd0tXHsS84Md033NCw9jsfnZ/Fn/3fTPut1ygy20rH93+Wg/7to2mb6Ng4nJVaLT0dK1J6urPiR5dnwT/9e7qffGrTBlWVKS84LWP23iurrrkx3Qt3YbC8qjLusIMz/vBD0j59Wtr3mJqelSuz/sGHs+7eB1M6Ozdud9hX/mubQrPa97+cPLUg5ZH7kxUdu/aD7HNA2s//Sqq999+17QEAAGCI9RUBbc8zkwxsOpReSwfx2OHst7e6fUkd2/5WtpxZ7uxSykW7+Fi5di8XwKhS1q1MufGryS2XJLWepPQMvtHVS5IHfz34dhqh7Zjksesa3k35xXdTvfCVKddeqshsJ8rVP0354/NSTZzc7CgMUFm/LunqTFatSPnl91O+/8Vk7ZotNzr6xFT7H5zyyIPJow9s20Z/t9vakn0OTPY9KNXUPZNJk3v/5+XJx5N5DyarNisaPeDQVM96cX1/MAAAAADYjtFVaLZB2UEBTue6lNm/TPXcVw5dHhikWnd3rn37B/Pw137Y7CgNM2Ha1Iy59+4MrnxuF/o57ph0Pf5Eg3sZeWorV2X5D3+e6b/9umZH2aiUkrK+M7W165Ik7XtOTdXWlu5ly9PxnR9l/JGHZ8oLn5uqqpqcdPt6VqzMkxd8OtPe+MpMPPG4VGN633ZrnZ3pWbY8nY89kc5H5qVr/oKUnr7B7ba2jDtwv4w9+MCMO/iAdM1fkBWXX5k1N9+W1TffltryldvvsJSsunI3B5BLSefD89L58LxUY8dm7CEHZOzeM9P91JK07zE142Ydmkmnnpjpb3xVJp926jYPb/+j3gtvl871qX3+Eyk//vpOu6yOPVmRGQAAMKq19S0MzHDYd6WUjq1mhdrcYAvFZgzy8cPVOVvdvqmObc/Z6vabkuxq4ZRcu5cLYNQo829P+f6Hk3WNneFruChtk5Kb7xm6Dmcdm/KdLwxdfyPV2jUpV/0s1ct/q9lJ+lW6u3qLBbs6e2fe6pthq8y5N+XBO1Md9fRURzytySl3Xe0n30gmTEx16gtS7dn7sbuUknSu671g4lMLUhY90TvTWG2zwtNpM1PN3C+ZuV8yfnzKTVcmD92d8uBdyWNztty2Pw/ckfLAHbsZtpYsfCxZ+FhKW3tv3zP2TlZ29E5PeNCsVIcfkxxzUqqXvi7VJMWKAAAAmzMeNzj2HbAjo7PQbCfKVd9PFJoxQpRSct0f//WoLjJLkmOeeVRq1zduNrMNJp92alZc+quG9zMSLfqvz2faWa9J1da4j4+1zs6svvqGLP/pL9M57/GUdetSW7M2tbXr+pa1qa1Zt3F9yqbr+7VP3zNTX/qCrLntznTOeTRJMuH4Y7LP/zsn03/rVanGjm1Y7oGqrV6TRZ/+QhZ96qK07TEl7dP2TM/SjtRWrW52tG1U48flqMsv2WbGsl1+/LjxaTvnw+m595Zk7n073njSlAH1AQAAAENsi1mh+swtpdwyyHan9bNu7iDbbKq+GeBO2Wp1PX+mrff5GVVVTSuldMhVv1wAo0mZf3vKt/8y6V7X7ChDZ/UBycobh6avg2f1FvE85eKOu6J85/MpL31tqjGNH8sqy5emzL4quf36lFXLe4vI1q/r/dq5vrfgav36pHNt79etC6gOOzrVEcelXPmTpKuzd+at405J22t/P3nOS1O1D+9/MSk3/SqZfVVv7r33T7q7kpXLe7/u7LGNDrc9be1p++j/pDrxOc1KAAAAAABbGN5nARvlnhtSFj6aar9Dm50EdurxH/8qc7/03WbHaKj9TpiV2o31vGBv/6qxYzPplBOz5qbbGt7XSLT21ruy4KP/mgP+7gMDbqPUaildXSld3elZ1pHupR1Zf/9DWXPLnVlz211Ze/vdAy6y6lm2PB3f/tEW69bdfX/mnf3+jD/8kEx+ztb/m9N8Y/ffN9Ne8/Ksuvam7Pu+d2biM56e9qmT0zZlStonT8r6R+dnzY23ZNVVN2T5T3+R9Ozkaoi7oZowPhOPPybjjz4yE46elfFHHJaeFSuz5pY7svKKa9L5yGNbFPLt856zB1xktrHPtrZUz35JikIzAAAARoFSyjl9M6n/dt+qy5OcV4emZ/WzbkQXmiU5Y+sVdSjI29zN2+nzkp08Tq4t+9xZLoBRofR0p/z471uqyKyMOSy5cYiKzJJUxz+z95up05I8OmT9jlhPPJryn3+TvOefBnXBx1JKb8FUrSdZs6q3gGrxwpSH70/m3tv79fGHtxj/2W2PPJDyyANbrrvnltTuvyNt//J/yRHHDbztIdD2urelNvuqVM97RaqXvjaZtlcyYVLvMnZcMv/hlAfvTLnnluTmK5Oe7voGqKrkgEOTAw9PdeBhyQGHptpzRsoTj6bcf3ty1829M5Zt/pDX/r4iMwAAAACGldYsNEtSfv7VVG/7q2bHgJ0aO3VysyM0WMkB47rTVas1vKeJJ5+QtokTMvNP357lP/1FVl/b+OK2kWbRv342Y2bOyN7venuq9vZ+tymlpHvR4qy75/6sveeBrOtb1s99ND0dy5MheC43N+XFpw/LIrMNDvjYh1NbtToTjj1qm/vG7L1XJj/zpOz9p+9I57zH8+QnPp0lX7l4UAVnY/bbJ5NPOzXtU6fk4P/82DbP415v+50kSenqSvfSjpTu7qRWy9iDDhhwn5urJkzc6RUfq8kKzQAAABgZSinnJDmnXu1VVdVfkVmSXFyvPprkWVvd7qhn46WUjr6iv6373FnhlFxb9qnQDGgJVfuYlDHjmx1jyJSMSe5cMLSdHn9qkqTtfR9P7QNvSVYsG9r+R6ByxQ+SCROTPzw31fgJ29+upyd5cn4yf27KY3OTx+akzJ+bLJyfrFqx7QxkQ6R67hmphnmRWZLkpNPS9pHPJM98Yfr5PJRM2yvVCc9M3vCOlMULU77/pZSffqt3prfBGD8x1bNfnNLVlbbf+/NUhxy5xd2bJymd6zc9l7Va78xrAAAAADCMtG6h2dU/SHn1H6Xaa79mR4Ed2vP4I3e+0Qh29Iueka7ZQ1PwtceZL0yStI0bl8O++uncf/qr071w0ZD0PZI88aF/ypMXfDoptdTWrEv7HlMz/qjDM+H4Y9K+5x5Z+rVvD6v9tvqam7L6hluGbbHZuIMOSOnpybr75ySlZOyB+6V96raFVmMP2DfT3vjKrL3znqyZfceA+mrbc2rGH3l4ln/vp0mSA8//SL99Jb0z/I3dd+8B9bNDY3c+eF9Wrah/vwAAADAybO8ExreGNEX9bT1D19IG9NGRZNpmt3flZJBcmwzPk2cAjbL3EUnH/GanGBrds5JF1w9df+MmpDrxtCRJtf8hafvr/0rtg3/QtAKokaT89Jspv/hessf0ZOlTybhxvUVGB85KdeTxKQ/dldx6bbJ+bbOjbqPc/OuUh+5OdeTxzY6yQ1VVJc96UUrHkpSVHUlbe++sYv0Vnc3YJ9Vzz0h5/NHk5l8PvNNxE5KnPSPlmkuTWk/Kc16yTaHZFhnHjU9mNGCMDgAAAADqpGULzdK1PuVbn0z1ro83Owls14qHHs2N7/5os2M01JQVS9M1BP1M/93XZ+8//+ONt8fuPTN7vvrMLPnc14ag95GnZ1nHxu+7Fy9J9+IlWX3dzc0LtAOlszNz3vj2HPblT2ePl72g2XG20P3Ukiz54jey+PNfT9fjvVcTbZs8KeMOPjBpb+udbay9LaW7J12PL0zP0sFd8bO2fGV6OpZnwtOOzrp7H0j30o7tFpo1zLhxO92k3HPLEAQBAACAYam/2dEuKaV0DHWQOtu6iGluA/qYu1U/z9yFx8i1ya7kAhjxSq075aoLk0dubHaUIVFKSQZ48boBmT4zbX/xj6mmz9y4qjr25OTI45IH7hy6HCNZ5/pk8cLe79etTR6bmzw2N+X6y5uba2fWrU3tr/8wbe8/P9WzXtzsNP0qPd3JTVemdunFyeyrklJ675ixdzJlz6StrbfwrK0t6e5Kli1Olteh3r9zXe8sdEc/PbnvtmRFx+DbBAAAAIAmat1CsyTlhp+lPP+1qZ5+erOjQL+W3X5fFlx6dbNjNFRtaSMu1rtJNXFCDv7kP2bGW964zX1TnvtMhWajRG3Fqsz9rT/Mged/JHuf8wfNjpPa2nWZ//6/zbJvfj+ls3PL+1avybr7HmxIv3v/xZ9k4olPy8rLfp3xRxyWBX97QVJKDjz/Ixm73z4N6XMb43Y+o1keuidl8cJUM80qCgAAQOuoqmpatp3JKknOG+IodVVV1ax+Vnc0oKutTyROq6pq2vaK9OTavVwAo0eV3PzNJKXZQYZG++Rk3eAuYrfLTj8zbX/6d6n2mLbNXdXxz0xRaDb6rVmV2j+8O9XvvivV7/5pqra2ZifaqPb9L6V89397Z4rb2tKn+l9fJ9WLXpXqVW9N7Wv/kerM30oeuT89H3hL2t7w9lSnv7xh/QIAAABAowyfM39NUvv836asXtHsGNCvCXvPaHaExqqSnmXLG9rFwf/5sX6LzJJkz9f+RsYefEBD+2cI9fTk8b/8u6z4xVXNTpJV196UpV+5eJsis0arxo7JmOnTsuyb38/yH12ajm//KB3f+XEe+b13p3QNxdyBScbuQqFZT3fKNZc1PgsAAECTtFkGvYxSH+pn3XmllEbMZjWUtp6dK9m2yKkeOvpZt6NZuuTallnNgFGvamtPJu7Z7BhDp23S0PTzzBel7dx/67fILEmq1/xeMn7i0GSh6co3Ppvyk/9rdoyNytrVKf/7Lw0tJtuhMWN7Z027/fqUy76dcsUPkvtvT+3896XMbv64JQAAwGjV7LGs0bAAbI9jRMdTKV/6x5TSIle1Y0QZP3N6syM01OSZ05JarWHtT3zGCZn+26/b7v1tE8bngL8/t2H90xxPXvBf6VrUpIGkPrUVK5vT75q1mXTKianGjdti/eobZufJf/vvIQrRs2vbtbc3NgcAAAAMI32zWG19IuryUsoFzchTZzOa2PesHdwn17Z2lAtg9Jg0usfXtlBNbnwfbW1pO/tDO5y9qpq5X6rfPqfxWRg2yg++kvLog82O0Wvh/GRKEwtM163t7f+wo7dcX0pq/3puyrLFzckFAAAAAAOk0CxJufHSlF98s9kxYBujvtBsxh4NbX/vd749VVXtcJtpZ70me77m5Q3NwdBafe1Nue/UM7P4c19N6dnFoqfB9HfjrZn//r/NwvP/MysuvzKPvOMv8sgf/FnD++3P4v/+Uu46/Jn9zqTW8e0fN7z/Mvfe1L7077u28dhxO98GAAAARo8Lt7p9S5I3NbLDqqrOqKrqwqqq5lRVtayqqtK3LKuqanZVVef3FcAN1hH9rOuoQ7tb62/Wr2k72F6ubU1rQD8Aw8+kac1OMHR6Gn+uvTr95an2O3jn273xHckJz2p4HoaJhY+l9p7fSu3Cf0pZ2TFk3Zbbr0/tsx9N7f8+kzL7qtQ+f35q731TsmLZkGXYJtO1l6b2u89OHnlg2ztXrUi5+cqhDwUAAAAAgzCm2QGGi/J//5Iy64RUs05odhRoGRP3nJw83pi2xx81K9Pe+KqdbldVVQ7+z3/OmlvuTNfjCxoThiHX07Ei89/7N3nyXz+bCUcfkfY998jk5z07U57/7Ex42tE7vOrmriqlZPFFX8njH/zHpLu7DqnrYAezc667/6GsuubGPPbnH85+H35Ppp/1mjp0V5L7bkvt2stSbvp1Mv/hXX+wQjMAAABaRFVVFyY5Y7NVl5dSzmxgf+cmOX9DX0kuSTInmwqPZiX5nfTOsHZuVVW3JPmTUsotA+xy2sDTDlp/RVsbTBuqEP0YibkARpEdX4RwVOlu8HVlx41P9Tvv3KVNq/YxafvLT6T23rMSMzi1hlpPyo+/nnL5d5OjTkjGjE112NGpjjsledozUu1Zv4lcS3dXytf+M+Xbn9+0rm6tD9IOxueSJA/eldr8uSkP3pW2P/lgqsOPHZpcAAAAADBACs026OlO7dMfSNvffyPVlD2bnQaSJPMu/lmzIzTU+EnjG9PwmDE59PP/nrYJu9b+mL2m56hfXJIHzzgrXfMVm40mXfMXbHxOO777kyRJ+4zp2eMVL860178yU1/2/LSNH9jv4crLfp3H//Lv6hW18Wq1rL397qx/cG4efcd7kmTAxWalc33KlT9J7YdfTebcO7A8EyYN7HEAAAAwgvQVmZ292arzSikXNKivM5Jc3HfznCTfKqV0bGfzC/q2vzDJKUlmV1V1QSnlvAF0Xb//IK5v33INr74BhkRZOi958r5mxxg6nbWGNl/98QdTHXrUrm8/Y++0/du3UvvQ25KFjzUwGcPK+rXJXTclScpt16Z874u96w88PNWzXpTqtJcmx5ycqr19wF2Ub39+iyKzkaQ8dFdvcdldN6X2gbem7ZMXpzqoHhMLAwAAAEBjNPgSZyPMkgWp/c9HUmqNPSEPu6KnszOzz/1Es2M01PgxjTkE7ffBP8+kZzx9tx4z7sD9c9An/q4heRheepYuy7L/+24e/p0/yV2HnJIHXvz6zHvXuVn06S9k7d339c7StROluzvLLvnhEKTdPe3T9siYfWZu9/7StWnmtaVf+/Zut19qtdR++LX0/OEZqX3yrwZWZDZtr7R94BOpnvuy3X8sAAAAjABVVc2qqurcqqqWZVOR2eVJjmhgkdnZSS7r6+fwUspFOygyS5KUUi5PcmqSDTOZnVtV1WUD6H7aAB4zEB272feO7qunjt3se0f31VNHE/sGaJpy5WeTzjXNjjF0VjbwZz395ale8abdfli1175p+4t/aEAgRpzHH0753hdT++AfpPbW09Pzgbek9h8fSe27X0x58M5d/r+MsmpFyrUD+Zg6RCZOTvbad/v3z3soOeDQ3u8716X8assxxlJK5s2bl/Xr1zcwJAAAAADsOjOabe32K1N++qVUr3pHs5PQ4tYtWpqeNWubHaOBSsbMezTdO99wt0w86fjs+753Duixe7zqjEx58elZ9atr65yK4aq2Zm3WzL4ja2bfsXHd2EMOzJ6/8dLs8Zsvy5iZM9K9aHG6Fi1Od9/S9cTCrL5+droWPNnE5P2b8vzTMunUE9M5/4l0L1qc5T/5RcbuMzPjDjkoE086LqtvunXjtquuvD7dHSsyZtoeu9R2Wfxkej7xl6n2OSBtb3l30tOTrFuTsmpFsmZV77J+XVKrJbWepKqStrakrb336+Q9Uh17UqoX/mYqs5kBAAAwwlVVNS29RWR7pbd4Z1Z6Z4ualU3FPHOTXJTkwlLK3AbGOaev392eLa2U0lFV1cuSPJze3GdUVXVZKeXM3Wimv1myluxOjkHY3ZnD5AIY7TrmNzvBkCnteyb33d2Yxmfsk7Z3/22qqhrQw6sTnpXqJa9NueIHdQ7GiLVmVXL/7Sn3354kKUmyx/RUz3hecsrzUx1+TLKyI1m+LGX5kmT50qRjacqT85N7b0nWDeNx8yOOS/WsFycL5yW1WspVP+1dP3O/5IBDUx12TMqPvrZx83LNpSlv/YtUVZXOzs7sv//+Wbp0aZLktttuy4knnjjg1x4AAAAA1EPzC83Gjm12gm2Ub/9XypEnpjrm1GZHoYX1rF3X7AgNNe2Q/dP9xGP1bXTMmBz8mfNTDfC4UlVVDvz4X+f+01/dWyxDS+qa93gWX/SVLL7oK82OstuW/+jSLP/RpUmSqWe+KE+bfVk6H1+QpV/7TpZ+7duprd50ZdPS2Znl3/1J9nrH727RRm39+qQkbRPGb9n45Clp/5MPpjry+Ib/HAAAALCVIwbwj5ZPlVIWNSJMnzOSnL+TbTr6vp6S3qKzRpmV5IKBzpbWV2x2XpIL+1adUVXVhaWUc+qWEACGSncLzQhU9k1qDzek6bb3/FOqqdMG1Ub19ven3PirZPWKumRiFFqxLOXXP0p+/aPewrOR6q6bUu66qff7/Q9J2/s+nhx+TMqVP0258icp1/9iy+0ffyS595Z0HXViTj311I1FZkly8skn55BDDsmrXvWqnHPOOTnppJOG7ucAAAAAgD5tTQ/wR3+XTJicjBnbO/vJcFDrSe3f/yK1//5gatf/tNlpaFErH3y02REaaq+D9657m/u+/12ZdOJxg2pj4vHHZq8/fHOdEkHzrLzs17n35JdmzqvemmVf37LIbIOlX//2FrdLKZl71h/lzoNPztzf+sMs+fK3Unp6kiTVxMmKzAAAAHZRld4Tr5aBLf2cJf5+krt2c/nTfp+cOimlXFJKqfpbkhyR5Mwkl6d31rOLq6oqVVVdXFXVKXWMseE/Ui8ppZw3mIZKKRdly2K4s6uqOmMwbQLAUCtd65PlC5sdY+isasxFE6vX/F6qZ5w++Hamz0z1+++pQyIYQRbMS+0f/yy1Pzoz5Uv/ljx8X7+blZ9fkm9+85t54IEHtrlv3rx5+exnP5uTTz45733ve9Pd3d3o1AAAACOS8bi6j8cBbNTW7ADVIcem/b+vSfvnbkrbX30paW/+JGtJknWrU67/WcovL04xsxFNsOiaW5odoaHGja/vbIYTjjs6+5777rq0tf9fvy9jD9q/Lm3BcLb6+tlZdfUNG2+v/MVVmXTyCZn5R29N5+ML8ti7P5g5r39buhY91cSUAAAAMLKUUuaWUi4vpZxXSpmeZMPMYGclmd1XcDatDv3ckuRNpZQ3DbatPhdudfviXXzctDr1vzNLdrPvHd1XT6MlF8DI9/gdycieF2n3rGvA7G0HH5HqD95bt+aqV7wpOem0urUHo0X59Y/zzS/9bzo7OzeumzJ+XFZ++qO55HdenrP23yNJ8slPfjKveMUrsmDBgm3aeNvb3pbjjjsu8+bNG7LcAAAAALSGpheaba468sRUZ76l2TG29MAtKZd9vdkpaEFP/PyqZkdoqDHtdWysrS2HfOb8tI0bV5fmxuw1PYd/839Sja1vMRwMRwv+/l9SSu/AezV2TNY/PC8Hfvyvc8w1P8oB//DBrLrqhjzwgtdl/cP9D1KtueOeLPqvz6dn5aqhjA0AAAAjRt9sYUck6ehbdVaSZVVVnVWHti8ZbBubuWir29Oqqjq3ju0P1l7NDrAdcgEME2Xutc2OMLRWr6lve2PGpO1956caP6FuTVbt7Wn74CeTg2bVrU0YFWo9ueOmGzfe/MC7zs6Tb3tZJr/rr/Nb3/h5vnXp5bn4jJMzqb3KL3/5yzz96U/PHXfcsXH7JUuW5Mtf/nLuvffeHHrooamqKlVV5brrrmvGTwMAAADAKDOsCs2SpHrF7yVjhldxR7n4UymPPdDsGLSQdU8tzdJb7ml2jIYa29Ndt7b2ec+fZNKpJ9WtvSSZdOJxmfH7g/5fHxj2Vl8/O6uvn50kGXfIQVnx8yvSs3pNSmdXxuwzM2P3mZmuJxZmzuv+IF1Pbjuz2bhDDsqif/vv3PesV2TVdTcPdXwAAABaw+uSnLCby2eaknQ7Silzk7xsq9UXD6dCrlJKR5Jbtlr9oSZE2R0dzQ6wHR3NDrAdHc0OANAopZTk4RYrsFja3+SVA1e95c9SHfG0uraZJNXkqWl7x/vr3i6MdLX165Ikz33uc3P+p/4z4598LJl7b+/xrK0tb3jR6bnxBb1FmkuWLMlJJ52UqqoyZcqUvOlN/U9qfPrpp6eqqtxwww1D9nMAAAAAMPo0vdCsrFq+xe1q+j6pnv/aJqXZju6u1D77wZT1a5udhBYx/0dXJH0zDI1W1ar6zX408+zfr1tbm6t38RoMV4sv+nKSZOUvr0pZtz7rH3o4D7z0jZl3zl+ma8GTSZLOh+dlzhvenu6OFZn//r/Nw29+Zzq+/9O0TZqQoy79VroWPJmHfvPNWfbtHzXzRwEAAGB0mlNKuXs3l0XNDr21UsotSc7bavX5w6nYLMnWV5GZVo+Z1wCg4Z6ak3Q83uwUQ6ZUY5OOpfVrcOy4VK98S/3a29oxxtxga+88bEaS5LrrrsuXPvqRpFZLmXNPyhcuSO2Df5Dc+KscO3V8rnn+YVs8bvXq1bniiit22PZpp52WFStWNCo6AAAAAKNc0wvNqil7brvuJf1ffampnpib8rULmp2CFjHvkp83O0JDVW1VehY+Wbf2Fv3H5+rW1ubGHXpQQ9qF4abjez9L15NPZdk3v58k6Zq/oN/t1t15bx7+7T/O9De/Mct/9ss88nvvzp37n5gHf/PNSa2W9PTksXd/MD2rVg9lfAAAABgxSikXJJm71erzh1Ex1+x+1v3OTh7T0c+6vQYfZdA6+lknF8AoVe67rNkRhlb7PvVtr6sz5XtfrG+bm5s6LZk0pXHtwwj0gSP3yol7TEiSXPOzH/euXPTENts9Z/qk/PPT9snYKjlgxrT81zvflj86ZFr2HLPp331O2mN8TtlzwhaPe/3rX59169Y17gcAAAAAYNRqeqFZf8qNlzY7Qr/Kld9N7bKvNzsGLeCg17yk2REaatbpT0/P0o66tbfkc1/LisuvrFt7G4w79OC6twnDUnd3lnzpm1l9Xe9Fy1f++tqsu+eBfjddfd3NWf//2bvv8Diqs43Dv7NFvUuW3HsvGBeMMQZTTO+9hBBIKAkh7QslkE4IBAghJIEESKGE0HvHpmPcbdy7bKtZktW7tp3vj5VlyypWWWll+7mvay/vzpw559m1pZCdeefdkknqN4NF4dbjwZe/9ybxgeoaSp55qfszi4iIiIiIiBy87mth2xPGmKSeDtKC/TuaAczt8RTtF8JWLiGlXCIiPcyMOj7cEXpWsTvkU9pX/4X9emHI5wUwxkBfnXcT2ddzOeWsrQgWgl3iqgxuLMjBLpzfbOytI9OoPXs8WXOGcNNd9/LYeSdQfMZYfOeMx3fOeJbPGcGS44fzjyP6NR7zySefcMkll1BeXt4j70dERERERERERA4dvbPQ7IP/hjtCq+yz9xP46p1wx5BD3MjvXEzqUZPCHaObWBKry0I7o9fL9iu/S82qdSGd17hdIZ1PpDfL/92fGp978/KDHcpaUfiXJ0g6//RW9+f9+n4q5n0W0nwiIiIiIiIHE4ceXX4c4l5sYVsScEcP52hJWQvbkowxw9s4pqeKl5Ja2FbWxnjlaq6sh9YWEelxpt8EOPLCcMfoEdbVB1Z/HfqJPfUE7v4+duOq0M8N4NJ5N5E9iup9fG/1LgLAdwYncXKfPR3/TItdzRr5vNg3nsIcd2aLu68bkkz92eP44I6bcbvdvP322yQlJfHyyy+H/D2IiIiIiIiEW7jPZR0KDxGR1vTO3xETZoY7QZvsP39F4NHbCCx4C1vUxpd8hxEb8GN93nDHOGQ43G7G/uCqcMfoFgOnjsG7ZVvI57W1dey89kcEautCNqdvd3HI5hI5WJioSCoP0CGwbu1Gqpd+3ep+W1tH5kXfZtc9f8b6/SFOKCIiIiIiInJws9aWAc3bFMBtvaCrWWtFUG0VmpV1Q472aqtoq6ynQrTgYMwlInLQMzMOzXNrzZTGt3mzuC7x1BO47yfYyrLQz12m824ie7yYV0FtwDIsxt2kC1l7ugra918Cr6fV/U5jOHntx7x9yUmN2y655BKuueYaPJ7WjxMREREREREREdmjVxaaOa6+E+KSwh2judQMzJjRmCOmYjcvxz7xSwK3n0vgzSew1oY7XVjYuioCz/8O+6vTsX++BluUE+5Ih4z4UUPDHSHkjNNBuqnvtvnrt2RS9K9nQzZf1adfhWwukYOFrasnUF1zwHEFf3z0ABNZCu79C5kXXkv5ex9Ru3YD1ctWUfXVUry7i0KUVkREREREROSgtaKV7Zf2aIr9NBTBtaSjHc2Suhymfcra2KdczZX10DoiImFh4vuAOzrcMbqVdQ+Er1d27yLFBdgXHwvplDYns+0uTSKHkQUlNdyyvgCAKwYkYozZu7O8HQWZnjrsq/864LCTK7MpuGh64+unnnqKyMhITps9i+/ecD3bt2/vcHYRERERERERETk8uMIdoCUmtS+O3/yPwD9+BltXhztOI9MvA3I3BJ/3GYStrYb6Ouyrj0DtbjjnZkxMQphT9iz7zC9h/ZfBF9Vl2Psuw6YPgdQBkDYIkzYQEtIaBgfA74PqMvDUwpGnYJL7hi17b1eddeidbJl00pF4Fy7u1jVKn3+dPt//dtMv5Dup/O15IUgkcmiyde0rGq38+EsqP/6y6Uank+RLz2XAvb/AlZrcDelEREREREREer2lrWy/BHi8J4O0U1Ib+8p6KENKC9u2tTG+rJty7O9QySUictCzteXgrQ13jG5jnfGwMh8C/u5f69N3sFf9CBMZFZr5FnwYknlEDgUPbC3CE7CcmBbDb8b06dwknvadp0v11LD6hBGcvmgneXU+AD5csBAWLOSxJ/4JwLx5d8s0XQABAABJREFU85g7d27ncoiIiIiIiIiIyCGpVxaaAZi0/jh+9i8oLYTaKuzODZC5DrtpOeRl9nygkRMai8wAKMrGDB+JrfZgklJg0WvY7V/DDX/GpPTv+XxhYGsqYMN+HZ98HsjbEnwALfZ5O+lqzHGXYpIyuj3jwSznzY/DHSGkhs+aiO3mIjOA2lXrKP73/0j7zje6PpnL2fU5RKQ5v5/S516jZslKhr/6HyKHDwl3IhEREREREZGe1tqX3Ae8wtMYMxyYCmRaa1vrjNYVZTQvLEttY3xLRXMtFTl1VVIL21rqDraHcjXXVi4RkYPfls/CnaDbWFywPQKKd/bMguXF2P/8EW78eUhu7oir116WINLjvIHgVRSfFNWws9bLsJiIbl1vfHwkWaeMptLn56W8Cn68Np8a/94rOU455RTS09P56KOPmDhxYrdmERERERERERGRg4Mj3AHaYlxuTJ8BmMFjcBx3Po5v/RznPa/iePgjzJW39myWqBYKTvK3YiqzIPvr4OuC7dg/fxubvaH52EOM9dRhn7w92KWsg8ykE1RkdgCV27PZ+dL74Y4RMinD+hOfubnH1sv58S/Jue0uArV1XZonYtDhUTQqEi7123aw5eSLqVm+KtxRRERERERERHpaWWs7jDFJbex7jGBXqpeA5caYeSFP1nEtFc0ldcM6LRVjtVVop1zNdUdhoohIr2C99dilz4U7Rrew1kL5QNi+pWfXffc5Ar+5Abs7r+uTpQ/o+hwih4jz+iY0Pl9R1rXz2R0R73Ly7cHJVJw5Du/Z4zghNaZxX2FhIZMmTWL79u09lkdERERERERERHqvg/LWYSYxFXPqNwjYAPa5B3to1RZ7czVXWYz9241w/UNQX4v96CnMTY9iXO7ujddDrLWwYzX2lfsht3OFQ/b532H7j4KAP9gBzesJ/rnnAeB0gSsC+g7HnHQ1Jm1gCN9F71BfWs6Gh56k4LOllK/fSkRyIqnTJ5IydTxbHnuBgMcb7ogh4YqOZGisxbu7ukfXLfr7k1R9+hVD/vUQ0ZPGdWqOiIEqNBPpbr6iYrZdcC2jP3+DyKGDwh1HREREREREBGgs6LqUYAHQCuB2a+38EC7RVmepFFooRDPGzAVu2G/zXGPMDdbax0OYLamFbdtaG2ytXdFCp5Me6dBlrW2tM5xydTCXiMjBwJblYpe/CAWboTQLohOgz2hMv3HYLZ9BWU64I3YPOxa+XhietVd+ReDm8zDX3oo57ZJOdzcz6QPae7Zd5JB3/ZAkfrB2F34Lly3P4U3nIM7MiO/RDMYY5s8ayjv5lZy3NLtx+/DhwwkEAqHpZCgiIiIiIiIiIgetg7LQbA9z6lUQsNjVX8LmFeD3dedq7R/qqYXs9XDMhbDgJdiwACad0G3JupsNBCBrLXbNZ7DmU9id1bUJC7YHH+2xfRV28ZvYYy7AnPk9TEzCgY/p5Xy1dWz66zOs/cMTeErLG7fXF5VSuWUHO557O4zpQm/87Al4Fy4Oy9p1Gzaz+YQLGPrsoySeflKHj4+dOa0bUonI/vylZWR991ZGvf98uKOIiIiIiIiIYIx5Cbh4n01TgXnGmBE9VKiT1Mr2U9rYHspCs5a0VRgHwcK4pH1eD++GDPvP2Z6/izKUaw8VmYnIQcuW5WIXPQ3rPwDr37ujrgJKc7CbPw5fuG5mXX3h06XhDVFbg330t9gVC3De+XDn5hgyEmIToLoitNlEDkLGGH49ug+/2rQbgIuX5VBw2mjiXc4ez3JW33jOSI/lvcK9N4198MEHueWWW3o8i4iIiIiIiIiI9B4Hd6GZMZgzroYzrsZWlWEXvIV9/xkoLeyGxTo4PjYJExUL3/w9VJeFPk8Psm89DJ/+L3wBAn5Y8DJ25YfY2ZdiZp6HSe4bvjxdULR0NZ9dcDM1uQXhjtIj0kYOxC5dHtYM1uOhZunXnSo0s4FANyQSkZZUL1iCv6oaZ1xsuKOIiIiIiIh0maHjXyfKXr3gs7u4le23AzeGaI22Olh1tCAoZAVExpikTq6xDJi7z+vW5umUVnKtaMehyrVXe3KJiPQq1lrsl4/D0ueaFpgdJqw1sKWum2+22gFrFmOt7VynI48HXO7QZxI5SN05ug+1Acu9W4rwBCxRDkfYsuTUNv0dc+utt/KDH/yAyMjIMCUSERERERFpH52P6xp9diLSlvB9WxViJi4Jx2nfxHHPqzDt5O5YoWPD0wYHj4qOw6QN7IY8PcMueSu8RWb7qqmAD/+J/d25BB77IXbFh9j62nCnarf64tLDqsgMLINTI8HX9ItpR0w0/qOPxj1hbI8liZ7UsbVqlq8i8/Ib2X55qK4bEpEDSb7iAhwx0eGOISIiIiIiIoc5Y8zUNnaHsutUUms7rLVlrewqbmX7C10Ns48W36O19kBFSvP232CMCeXn1dJczdZszxjlEhE5iKx8BZb897AsMgPAjoasFmq9BwyBk2ZAbHzP5hk+tsNFZnZ3HoG//orAjadDeWv/KSNyeJqTGtP4vNLX8zdA9QQCuN5az5rK+mb7nn/++R7PIyIiIiIiIiIivcchU2i2h4mOw3HzHzGX/xQczhBO3MEvzT/rJcVZXWBXfoh94ffhjtGctbBxIfaZn2N/eQqBx3+M/fx5bHlRuJO1afFNvz2Misxg1PFH4l23sck299TJZDoTWf/RCvJre64WPu7Yo9s91rurgMyLr6PinXmgjmYi3cq43fT54fWMX/8FQx5/EBPGuzWKiIiIiIiINChrY1/IOofRetFaW2tktvDnJe0oAuuI6S1se7kdx7U0prsLp15sx3HKtVd7comI9Bq2cAv2s7+FO0bYWFcaLN7vf+Jj4uCEY2BEFca/FaZO7NFMZvIxHRpva6sJ3HUTdt4rUF3ZTalEDl7HpewtNHtwW89e6+ALWCbM39LqfpfL1YNpRERERERERESktzkkr+g2xuA4/Zs4fvZPSEwL1awdG776Y+z2VSFau+fYgB+7eQmBp+/EPvMLCPTyOwR662HDAuxrD2IfvhZbkhfuRC0K+Hzkvf9FuGP0qARvzd4XLheOmTNY8fk6KncF71aYt3pLj3QvcqYk4+qT2u7xBQ88gq9Id1QU6W5RY0cx6tPXGPD7O4gYNCDccUREREREREQAsNa2Veh1XwiXOqqV7W0Vde252vwxa62x1o6w1ranCKwjTmlh2wE7pjV8bvt/di3N1Vn7f14r2uj81ki5GrUrl4hIr5L5Ve8/T9mdalPAs0+XoX4D4ZjhGLsJY2xwW2R5j0Yyg0Z0aLx953+ws/VCFpHDndux9xqUjVWeHl37vCVZbK9v/XfsVVddhdfr7cFEIiIiIiIiIiLSmxyShWZ7mNFTcNz5b0jqE5b17Zt/wVrb5pjAv27BLnqjhxI1Z+trsNtWYj9/nsALd2N/ezb279+HlfOCncO6S1Rc6Ocszcc+8j1scW7o5+6i3Hc+xVtRFe4YPWp7fjUFA0eS02cIW2w8q+avpGnBpqF6zHhMVGS35nAmJ7R7bOUXiyj536vdmEZEAOKOP4b4U0/AsyM73FFEREREREREWrKnAKis4c8VwLQDFKF11NxWtrda1LVPcdJlIcyxv/1zlXWgmG3/ca29x87Yf67HOnCscnUsl4hI2FkbwK57P9wxwiuqAE6eCCePhZNGwKhqjC+n6RhPPhw7E0wHb5jaWfGJ7R5qN67CvvF0N4YROfjl1/san7+RX8lruyp4OruMhSU1bRwVGtXtuIbmkUce6fYcIiIiIiIiIiLSOx3ShWYAJmMwjtseh7ikLk7UiS/od6yGdZ8fYJDFvngPdtXHnYrVGTYQwG5aHOxa9vO52L/dgH3tQVj0BlQUde/iSRmYb/wW+nXsjnftVpKHfega7KbFByzy60mbHzvgTX8POSXb8yjcuJPS7XnUlbdcZLf1i9XkJQ/AdfR0THT3dDfzl5RRu25jq/uttVQv/ZrsH/6cbWd9g0B1939xL3I4i5l2BLEzplC9cBmJZwdv1G19vgMcJSIiIiIiItKj9hTl3N7QOWyatXZFm0d03NQWtmW2Y52XganGmJaO7xJjzFwgab/N93Zgiv2/BJ1qjNl/vg5rmGP/9/tiB6ZQro7lEhEJvx1LoSznwOMOYcZfjvHlYXyFGH8ppoVz1caAcW2Gk46AI6dCRPfe3NGuXtz2/kAAu345gUd+Q+BnV0F5SbfmETnYJbmc9IlwNr6+ZFkO3/46j+MW7GDYvM18UVzdLeuai77DJ5eeSNEf72T79u0EAgFmH3tss3FffPFFt6wvIiIiIiIiIiK93yFfaAZg+g/D8eO/QERU5yfxBGDIER0uOLMrPmg721V3w6jp2Gd+gd28pPP52pPFU4f9/HnsvRdh/3FzsGuZ39uta+7PfPdv2K3LYfuq7lukugz7j5ux/7kNW1/bfeu0U9XOXPLe15ewrSnaks3Kj1axqS6iW7qb+UvL2Xbu1RQ/9QK+0nIArN9Pzer17PrtH9kw+US2nHQhxf95rnu7+IkIAMbtpuDBvzPwgV9Ru2YDOT/9NeXvfhTuWCIiIiIiIiL7erzhz9u7Y3JjzA2t7LqxHYfvKfy6L0Rx9rX/nGXW2vvbe3BDkdz8/TaHokvX/nO8bK0ta+/BytWxXCIivYFd2d5mmgJgfNmYxB0wKxWiYrptHfv83wk8/AvsptXYQCC4rb4Wu2oRgX/8jsC1JxL42dXYD16Chv0i0roYl4ONJ43ky9lDm+3LrvNxysKdbK32hHxdu3EVJnsbKd/9GUPK87GP/pYvFyxoNm727NkhX1tERERERERERA4OrnAH6Clm5BGY827EvvRwp463G74OPhk8EuP2Qkle+w7c8BXW58W43C3nioyG6/+MfeFu7L9vgx8+gek/qlMZ22I3fIV96V4ozQ/53E04nNBvJKT2h6hYME7I3wY+L6T0C27ftrJ7M+yx5lPsC3fDN+9u8S5/PWXrv15WAVM71FfW4JowEu/aDSGf21dYRPbNd5D9w5/jSknGX1mJrQ/9l/IicmDVi5bT91c/pWL+59SsXIszKR5HTPd0NBQREREREQkXw2Fyh69uEr5v8oKstWXGmPuB24wxj1lr21MA1hEtFbDNt9buX3TUWrbHgRuMMTdYax8/0DHt0dDNbP8uWNd3YqrbgeX7vL6MYBe2rrijhTU6SrlERA4StjQHtrfdOUtaZmwddvgIWL+m29awH72G/eg1iI4BdyRUluk8qEgXJLqdzEyO4fUZg/hPVhk7ajysqqgHwGfBG+iGn6+dmzE/vgf72O+xBh76dGmLw4477rjQry0iIiIiIhJCOh/XNeE+HycivdthU2gGYI6a2+lCs0ZZW7EuN2b8BMhed+DxddXY+y+Hk66G6We2WHBmXG4YMgG77F3sP/8PfvIkJj61azkbWG899oXfw/L3QjJfmwaOw1z/J0xCWtuZJp8EX7wInh7oNrbyQ5g4B6ae2v1rtaBs3RY2/uWZsKx9MPLGJXTvAoEAvqLi7l1DRNqUdtO1VM7/HFdKMt7CIiremYc3ZxcJc48PdzQRERERERGRRtba240xFxMs6FoewoKuG4Dh+20uAy7pwDS3A5cCjxljljV0xupKpiTgsf02P26t7XDBk7V2hTHmZeDihk0XG2OGW2szO5ltKk0L4B7vzFzKJSJycLA+D3b+g4AKlzqtT1zPrFNbE3yISEicnRHP2RnxANy0eheP7yzltD6xjIuPDO1CxmC+czv20bswJ58PH73GrW9+1mRIeno6F154IdOnTw/t2iIiIiIiIiIictA4vAp5+wyEmPiuz+PzYrNz2z9+d1awY9nd5xN4488E3v07gX/+H4FHvtfw+C72vYbrFErzsf/7DTZEd36zb/21Z4rMAHPSNw9YZAbgOPtmzK/fxpx5E8SldHsuu/Grbl9jf/56DzteeJePTr8Ob3llj69/sCotqQp3BBHpZpFDBuHNLyT+1DnULl2JiYgg47abwx1LREREREREpCWnECwCe8wYc19XJzPGDKd5QRfAydbasvbO0zB2T2HaRw3FRV3xEk2L31Z0sYvb9QQ/tz1aes/t9cQ+zzOV64BCmUtEpMdYG8DmrMK+dhtkLQt3nIObqzzcCUSki6YkRgHwwe5qzl+SxZaq+tBNPnE6dtFHmInTsdWVULKbUXFNi9kKCwt5+OEu3sBZREREREREREQOaodVoZkxBvoO7fpECcmYwYM6flx5IXz6LMz7N6z7ArYua3gsh5p9vvTfuAg+e67T8azfh83bip33H/jihU7P0y7R8dB/FOa0G2Dyye0+zMQkYE65FnPnKzCxm7vYLH0Hu61LN/XtkNx3P+P5xGl8cflPqMnJ77F1DwW71m3HRDTv+icih4boqZOIGjuCYc8/Rv7v/0zkiKEMe/EJ4o8/JtzRRERERERERJpp6AQ1jWAR0G3GmHkNxWId1nDc8hZ2ndKZjmTW2vnAjUASsLyhU1pncr0EzN1n03xr7bTOzLVPtjJg3y+L53YmnzHmNpp25zpFuXoul4hIT7FFmdi/nYF94WbIaul/KqVDvLsgITncKUSkC64ckNj4/O2CKp7OCWEB6ewzMDNOhDOvgPeeh5ETWixkGzlyZOjWFBERERERERGRg85hVWgGgLcLd3vq0w8zaTLGVQNZa0KXqQX2zT9jl7zdsWO89djl72HvPg/7wBXYdx/tpnRAVBzmh//Ecc/HOG79H+b06zGOjv9zMtFxmGsfwJz5PTCmG4IG2b9/n8A7j2B93m5bA2D3wpUsuPo2AvWebl3nUOWv9+IeNSLcMUSkmyRfci7xJx1HoLySPj+4jj4/voGqLxZRs2pduKOJiIiIiIiItGifYrMVBAuythljXupIF7GGoqHlBIvC9sgERjQUjHU22+Ps7Wz2WEMhXLtyGWOmGmO2ARfvs/lxa21IipMaiuf2nesxY8zc1sa3kO9iYN8uctMa/i6UqwdziYh0N7t7K/a128FTE+4ohwxjDAwbGu4YItIFsa6m111c3C8hNBO7I3AcdwaOUy6EvB2YG36OOfVivP9s3rw5Ozub+voQdlITEREREREREZGDiivcAXqS3bgMsjd3+niTFA0560OYqA3WYp/7LTZ3M2bCbHBHgjsq+GdEFDhcEBkNJXmwbSV20yLYshQ8dT2T7/jLMcMmh2Qq43DAKd+GQeOxT/0M6qpDMm8Tfh/MfxK7Yy1cex8mJkRfxu4j67V5fHnlT/HX6QvXrvAkJB54kIgcfIwh+aKzqd2wmZ03/BTP9iwAki45h+gjxoc5nIiIiIiIiEjr9hSbNRSM3UewOOtiY0wmMJ9gEVkmkGmtzTTGJAHDCRam3djwfF+PA7c3dLLqaraXjTHTgD2dyZYbY1YALzRky7TWlu2TaTpw+36ZMhvyvNzVPPtlm9+Q7SOCRXbzjDG3W2vvb+s4Y8x9wG37ZLukM13flEtEpHezW7/Avvs78NaGO8qhJyUy3AlEpAt8AUukw1AfsNwzLp3JiVEhmdfMPBkTl0Dgw1ewj9/TeG2J45yrqKurY+rUqaxfv/d6mKioKKy1IVlbREREREREREQOLodNoZm1lsCrXejwNXwsFG0LXaD2+vw57OfP9fy6B2Ci40I/59iZcPHt2P/+KuRzN9q6DPvYDzE/eTKk02786zMs/dHvQV+0dllZSXWTWzuLyKEh7viZeHcVsO38b+EvLQcgduY0Bj96f/AOqyIiIiIiIiK9XEMHsccbCs72FGvdsO+YA/x/3JcJFnSFtNNUQ1HRCGPMbcAdwNSGx4EyZQKPHaiQKQTZko0xjxH8rO4zxtwIPEawEK6sYehwgh29bmBv57f7rbW3K1f4c4mIhJK1FpY8g/3yiXBHOXQ5isKdQEQ6aVedlzMWZVEfCF53cGn/EN5A98RzCTz7V+wL/2jcZOachfnO7bz/1ltNisz2uOeeezjppJOYOXNm6HKIiIiIiIiIiEivd9gUmrF2IWze5yaeqf0wZ16DGX80dsvX2H//pu3j83MgJRmqS7s15sHCbl+FOeEbIZ/XTDsDaquwrz7QfUVb2euxVaWYuOQuT2UDAVbc9gDrH/x3CIIJwK71O0iOcmO93nBHEZEQip0xjZ3f/xmxR0/DREVifT4SzzgZ6/eTe8fviT5iPClXXBDumCIiIiIiIiIHtE/B2Z6uZacQLPwZzt6in0yCRUHLgJestfN7INf9wP3GmKns7aS257EnUyawAnihJ7teWWtvNMbcTrAw6jKCneFasqcb2+Oh6PimXCIivYv11mM/vA82zgt3lEOa8ZVg+/SF3fnhjiIiHbCsrJZLl+WQVeslye3g16P7MDQmIjSTR0TBtvXYlV/BMXPBAlg48Vwe/fND3PzTW1o87Oc//zkA8+fP5+STTw5NFhERERERERER6fUOi0Izu+oLAo//ounGumrMzDMwsQmQkIL98FnI2dL6JDVV2PT+GFMONtC9gQ8CZsTUAw/q7NyzL4G0Qdi3/wq5m0O/gLXYv1wHx10GfQZTtr2A+Dmn4oqJbvcU3qpq8t7/gq3/fIm8D74MfcbDmK+2Htek4XjXbwp3FBEJIVdGH4y1VLz/MQCRo4ZjLjiTTTPPwLMjm/533xHmhCIiIiIiIqHjaHhI5xwsn11DZ7LHGx69RkMB2Y3hzrG/hkKo+xseGGOS2KcILlyFUsolItJ+NnslDJiEcXTsFLOtLITMhdjVb0BhG+djJXQGD1KhmchBJK/Oy9yvdlLlDzAyNoI3ZwxidFxk6BbI6A9R0bBzC2xeHdw2+Rg8+bmtFpnt66233mLOnDk89NBDbN26lfLycgoLC4mNjSUhIYFzzz2Xc889l+jo9l9zISIiIiIi0lU6H9c1+uxEpC2HRaFZ4PW/Q3V5043VFdg3HsNceSsmNgHHXc9jF72Pff0fUJjd8kQ7NsPkaZC1uvtD92ZOF0w9vVuXMGNnYsbOxK5fgH3m51BXHdoFdmdhX30A64pgzcJEUtfuZsKt17V5SN3uEjY9+j+Kl6xm10cLCdR7QptJGpU6o4kzpvu62olISDkS4wlUVLX5Mxs9YQxjFr5L/bYd1G/bQcyRE8j//cMknns6KVecT/TEcW2uYa0l/3d/wldcgiM6Ckd0NJFjR5Jw8vG40lJC/ZZEREREREREpJs1FEr1WFe19lIuEZGW2aoi7Lu/wxxzDRxx7oHHZ36F3b4YctfAbhWX9bikaoiNh+rKcCcRkTZ4ApbVFXV8d9WuxiKzz44dSkZkBy7liU2Amsq2z60npOA471vYs67Ebl4DgQAkpnD7Ny5t1xLTpk0jPj6eurq6Fvf/73//a3z+5JNPctlllxEVFdX+9yAiIiIiIiIiIr3KYVFoRmp/2L6+2Wb74bMEIqIwx52HyRiMmXUW9ujTCPzuatjRfHzwINPNYXs5hxNz5W8xcUk9spwZfyx26CTYuKhb5t9WNpydC5awa8MTjLn5KlzRrX/Z+eU3bmHXvAXdkkOa2r5wHWNPPAr30iXhjiIi7ZB0zmlk3HYztWs24M3dRX1WDo6ISExkBPj9OBPicQ8diGfbDrad+0282Xlk3Pp9ki87j+olK9n9j6fx7MzGszMHX3EJKVddzIDf34lx7f3PlKrPF1LwwCPNF3c6STrvdNJ/eB0x0yb34LsWEREREREREREROTxYby32jTuhajd2wT9h/OkYV0Tr47NXYl+/E6y/B1PKvowvHztzKHy1DWprwh1HRFoQsJYjPt3G1urgDW4TXA7emjGoY0VmgDnudMxF12G3b4LS3ZCfA1iIisb6fOB0Y4aNxno92HmvYB+/BwIBzM/+zJaAu8253W43t99+O19++WWTIrP7xqeT7HZS57d8VVrD87kVjfuuueYann32Wd577z2cTmeH3ouIiIiIiIiIiPQOh0WhmeO792L/FYFd+G6zffbtf2Hf+Tfm+rtxzDoL43ThuOhmAg/e1PJkh3ODJacb8617MZPm9Oy6fYZ0S6FZUewRLP7zlwB4SsooXrKajDkzWh3viIzAOJ1Yv06K9YSNn6xk0tyjYdHicEcRkQOo+OAT3IMHUL9xK2WvvtNkX8I5p1D18QJ2/e5B3P0y8Gbn4UxOxD2oP1tPv7zF+YoefZKqzxcRM2USkaOGEzl8CHk/v6flxf1+yl59h7JX3yHuhFkM+fvduAcODfE7FBERERERERERETl82bd/Dfkbgi9qSoPPB7Zx46/ackhIh/JdPRNQWmR8udhZo+CLjeCpD3ccEdmPN2DJrfU2vl503DBGxUV2eB67+GNsUioUF8D815p2NnO64LgzsM8/gh08ErK2BrePGI/N3MgzcSX838BEFpTUsK3Gy1npsdw5qg/3bC7knd01eL1e7r777ibr/XF8Bj8ekdr4+qZhKTw1xTJvdzUfF1Xzp23FzJs3jzvuuIP777+/w+9HRERERERERETC77AoNDMuN1x/N8QlYef9r/kAa7HvPQWzzgq+nngMjJkGm5Y3H+s4TDuauSMx334AM/aYHl/aJGd0S31fSV7TEyqrfvs35n74bxyuln8sTnrrH+xeuJLPLvoBtbt2d0Mi2d+a+cuZcvJR+BYvDXcUEWmDb3cxBfc8jHG7iTv5OBwuFyY2GndaKhhI+dZluPukUrt+M8mXnkefm79Dzo9/0eacdWs3Urd2Y4dyVH36FTk/uoMhf/sNjn5juvKWRERERERERERERGSPgs1NXtoFT8DFD2GcLXfCMaNPgBGzsYuehEVPdX8+aZXxZWOPmwCfrQGf98AHiEiPiXQ6uHpQEo/tLAVg+ueZjIyNYGRsBOkRLpLcTpIjHCS5nKRHuhgU7WZQtIvUiP2uZygtguf/Dg4HjJ8KsQkAmOQ0MA6s0wnX/BQKcmDYGMy042DGidgfXURShIt/TxnQLNvrRw/hhbwK3i6opM5veT2/EoDvDU1uUmS2h9MYTk+P4/T0OI5KiuKK5bk88MADREdH89vf/jbEn5yIiIiIiIiIiHS3w6LQDMA4HHDlrZjpc7HLP8LmbIVtq6G+NjggezPW68G4IzDG4DjtKgL7F5olpUJ5bs+HD7e4ZMw1f8CMmBrSae3GhdhFb2KGT8Yc33JXGwDcUW1PNGIKbFvZ4fVHJ29l8O9m8MovlwBQ8MliPrvoB4y/5Tukz56GMc2LCvscM4VZT93HR6d+u8PrSWcYvv5kFVNmT8a7YlW4w4jIAVivl6qPvgAg6aKz6fO9a6hasISy19+j6NH/AJBw+klUL17erPNZqJR/uJjivz1G2l33Y5yHzX/miIiIiIiIiIiIiHQbc92LsPJl7Od/D27IWYV99TY46nIYNLXFgjPjdGGOvY5A5W5Y924PJ5Z9Gd8O7JzJ8OnX4PeFO46I7OPBCRn4reXpnHJq/JbVFfWsrmi7A+G4uAgu6Z/I9KQojk+NJc7lCO4IBGBdwzUuQ0djLr0Bqqtg2WfY156E8uLgvinHwnOPBgvPWmGM4fIBiVw+ILHD7+mivvGNz++66y4uvvhiJk2a1OF5REREREREREQkfA6rK7CNMTBmKmZMsGDK1tVgv3gd+/o/oK4GnM7g9oCfwIK39x6YkIQZOgwKM6G8IhzRw8MYOOIkzAW3YBLTQj69XfMZrJqPXfMJTDgOk9r8TlkAHHMBLH4LcjZAn8EQlwz1NeD3YU75Noycjn3+Lti4sGMBAn6iijcy+bIprHohWKiW8+bH5Lz5MWO+/w1m/O1XLR7W/5Rj6X/abPI++LJj60mn2IBl1eItTJ46Hu+a9eGOIyLtVPbK25S98naz7Z7sXHZe95NuXTvv7+8QM+sYYs+6BFtRCNWlGHU4ExEREREREREREekU44rATrsMNnwIu7cFN2Ytw2YtgwGT4ZI/t3rjL3PiD7AbPoCAvwcTy/6MLxM7Zyp8vlKdzUR6QJ0/QJTTccBxUU4H/5jcn79M6seOGg9bqj1kVnso8vgp8/op9wUo9frJr/ORXeul0ONnQ5WHuzbvBiDCYTg3I57vD0tmdkrM3pvp7thM4JYrWlzTfvwGrF6ML2DJrvOytdrT+NhW7SGr1ou1MCjazcX9E/jGwEScLdyktzX/zi5r8vr8889n6dKlJEcUQMxIjKPlbpgiIiIiIiIiItJ7HFaFZvszUTGYU67EHnc+ZK7BOIKFZpQUwPKPgs+T0zDJ0ZC9Nmw5w2LgOMyVv8b0G9F9a+w54RTwQ2k+tFJoZpwu+MZvsI9+D/PDf2HikrCBANgAfPJMcPs5N2M7WmjWoP+oWPbvlbXpkWcZesVZpB87rcVjEsaNUKFZD/LXe1mxcDNT50zBu7zj3etEpPeoW7ep29ewXi87b3+Y0bH1OPsOwL7yc+y4kzAnfR+T1K/b1xcREREREXE0PKRz9NmJiIj0PsbhxA6csrfQbI/cVbD8BZjxjZaPi4zDxqVDxa4eSCltMf6t2OOHwqfbgp2PRKTDCup9PJdTTqHHR79IF7UBy9ZqD2PjIrl2UBKJbgfnL8nms+JqVs4ZwfDYiHbNG+EwjI6LZHRcZJvjyr1+3siv5N2CKlaU15JZ4+XlXRW8vKuCWcnR3DEqjVPT4xoLw3wBS1atl+01HnbUeNlS7WHzkpfZXF3PtmoPXtv6Wmsq63m3sIr/ZJXx/PSBZES27/Kij4pqAEhyOUiKcJKZmck3rriEtx6Zi9MEsKknQuLRGONs13wiIiIiIiKt0fm4rtFnJyJtOawLzfYwUTEw/ui9r9P6Y274Pfbp32MGD4asNU0PiE2CMUdDUgZUFMOWpVBe2HRMRBQMngiVxVCwvfvfRKjEJWNO+Q7MuhDj6uY7STn3+eIwuW+bQ03f4fCbdxuLAY3Dgd2xFvvxM1BbiX3vMRgyCXauaXOelrjdLZ9IWXT9L5k77z/EDMhoti+mX58OryNdZSj3G2LCHUNEDgqenXnk/OVNBk/LCW7Y8DF261cw53o46hKMQ/8JJCIiIiIiIiIiItIRJjqRlmoS7ML/QMYYzJDpLR8Yl6pCs17C+IuxQ0bA9i3hjiJyUCmo93HsF9vZUdt6R8B7tuymf6Sb9VX1AOys9ba70Ky9Et1Orh6UxNWDkrDW8nVFHf/YUcp/c8r5qrSWc5ZkMyDKxYAoN4X1PrLrvPjbKCaLdBhGxEQwItbNiNgIRsZGMCTajcthWFxayx+3FvNFSQ2nLdzJx7OGkhJx4OKw3fU+APpGufjv1IEc8+V23v/wY977KImzTxwJhW9A2WJs+nmYmOGh+mhERERERERERCSEdJV1KxyzzsJOmoV99j4YfCQUbIH6aswFP4VjLw522WpgAwHIWodd8ykmKhb6joARUzAxCdiAH/vqA7DglbC9l1YZB+aM78LYmWAcEJsI8SkYV2i/7Gx1+VkXYV2RmNEzMK10M2syvqHIzPp98MUL2Lf/Bv7gl5TkbYHjLw92ScvdBPU17c4RGygmMiGa+oraJtvLN2zj3ekXMef1R+hz9OQm+yLTkts9v4ROcdZuFZqJSLtVLt+CnRqDMQ1n0Lx12Pl/hbUfwpk/w/QbE96AIiIiIiIiIiIiIgeTwdNg0VMQ8DXd7qvHvvJTOPY7MOMqjNnvfsgxOq/Wq6SnwEF0n1SR3uAHa3Y1KzI7OS2WPpFOhsdE8FJeBVuqPZR56xv3z0qO7tZMxhimJEbz2ORofjW6Dw9uK+aZnDJy63zk1u39PR3pMAyNdjM0xs3I2IiGzmkRjImNZGC0C0dD97P9ndInjkv6JzD3q52sraznlIU7+OXoPkxOjCItwkm8q+Wisxhn8H8DMmu8vFdQiTcQPE+3dktRsNAMwJMPOY9h46dAnzMxroQQfjIiIiIiIiIiItJVKjRrg4lPhhvuwT75OzCA24k5/vLm4xwOGDoJM3RSC/ucMHoGdk+hmTsS9vlyMZzMRbdijr04fOv3GYw566aOH1iwA/vWXyHgb7p96TtwxImQMQx89bBxIVSWHHA6R/kuzr11HG/ctw5PVdO/m9r83Xw45yrOXvk6ieNGNG6P7JPS8dzSZWVZuxjSP45ARVW4o4hIL2aio4idNJLUoxIwJrP5gPxN2P98BzvjMszx12EiuvdEn4iIiIiIiIiIiMihwAyYBOf9HvvmL8HvabrTBrBfPgF1lZg532+6LzqpxzJKO8SGO4DIweGhbcXcur4AgCkJkc3276rz8ccJGUxKiOKopGguWJrduG/JccOIdDqaHdNdBkS7+dPEvtw7Lp1PimvwBCwpbifDY930jWy9mOxAxsRF8v4xgzlxwU5WVdRz8bKcxn1Jbgfj4iI5t288PxqeSoQjuMaF/eJ5t7AKT8Dyy027g2PjI7n+ksnNF6hcCVXrsKlzIXk2xhy4Y5qIiIiIiIiIiHS/nvtm6yBlHA7MN24D6wp2KuuMiXMwF/wUc/5PMH/4HPOL1zHX3AenXgfTzoBhkyGxT2iDH0h8Csy6qGfXDBHTfyTmm79vvqO2Eha/CQtfDRad9RsFyX3bNWdE8VbOuf2IFvcF6j3kffhlk23RGWkdzi2hYHANGRzuECLSiyWdMp3xP+zL8JOKSIxvochsDxuAxc9hH/8GdutXPRdQRERERERERERE5CBmhs/CnH9v6wM2f9Z8W2xq9wWSjjMHvlGniMAj2/f+rKysCN6wdm5aLEuOG0b/KBfrq+qZ+lkmAz/c3FhkNjkhkp1zRzE1KTw3OYx0Ojg9PY5z+8YzOzWG/lHuTheZ7TEhPopVJwznB8NSGB8XSWRDQVmZN8DC0lru2FDIcV9up8YXAOC3DcVl++qTEkN8bETLC1gPFL0LO/+Mrd7SpawiIiIiIiIiIhIa6mjWDiYyGjthNhRs6NzxDifs2wktdQCkDsBMPqnJOOupw/7rFti8uCtx28cdheniF4phNWTCgcdsXgyjZ0BpfrumjCrexNizJrDxnXXN9m146ClSjhxHdP904kcMJnbogI4mlhDxxcWHO4KI9GJ9j6zCaeraf0B5PvaFW7DjTsKc8iNMfA8XfouIiIiIiIiIiIgcZMzQGdjhsyCzhZt4Vewi8OlfMTOuAm8dJrEfJqk/tudjSmu8RRCXAFUV4U4iElIBa9lV5yMtwhmSbmIjYiPYUettsm1+UTXvJ0Wz+Lhh/GBNPq/nV5Jf78Nl4DuDk7lvfAZxrkPvfs/9otw8NHHvTX6rfAF21nr4oriGX2/czfLyOn6+sZCHJvYlt87X7PiqGg9O5wGuT/EUQu4/sXEToc9ZGHdKqN+GiIiIiIiIiIi006H3DVc3McdfAF7vgQd2ZY2IKMzlvwDTA38tNQfXiQMb8GNLdgWfW4ud95/2Hbh5SYfWmTAzpsXt1Ttz+fCEb/LG6NPwVdcQ1ScFZ0x47kJ2uKv1BMIdQUR6qYihA4hwlnXu4A0fYx+7Erv0ZWzAH9JcIiIiIiIiIiIiIocac8y1re9c/iL27+div3gs+DpRN3DsTYwx0Ld/uGOIdJknYNla7cFvLbm1XqZ9lsmQ+VvI+GAz/8sp7/L8Z2bENdt2bErwGoF+UW5ePmoQ204eyaezhlJ42hgeOaLfIVlk1pI4l4MJ8VF8d2gKT08N/o5/ZHsJq8trWywsPn7GIJztLf6rWgs7HsQWfYgNeEIXWkRERERERERE2u3w+JYrBExUDJQXYv3N774UUnXV4I7s3jUA6qqwmau6f51Q2bUN+/iPCLz0B+zfb4KFr3bLMpFlmTjczhb3RfdPx7hcOKMiMcYQN0QnYHragCNHEetQoZmINOWIjcHVtw8pxw/v2kT11dgP/4R98gZs4bbQhBMRERERERERERE5FGWMgejEVnYaSOgHroZznkk6p9ZbWEcM1jUCSorDHUWk04rqffzf2nwGfbiZsR9vZeIn2zhnSRZrKusBqPIHuHplLt9dlYcn0Pl+ilcNTGRi/N5rN/pFuvjNmPQmY4bERDA7NYaEVq4xOByclh7HSWmxBICpn29vsdDsxXc38tWK3PZPan1Q8hHs+CO2cm2oooqIiIiIiIiISDu5wh3goHLpHRhnN39kfYfDwLGQubJ71wHsf38Jp18P42dj4pK7fb0uSekPhTugYHu3LmP8XvpO6k/eiuxm++bO+w8x/dNxuN0ABLzdXHQoTSQN7kvK9k34tqrTkIjslTR3OgOmFuF01AFbQjPprg3Y/94M33sBE50QmjlFREREROSwY0y4ExzEOn8tqIiIiPQQYwy2z0jIWt5859iTMWf+Cuqrgq8DOqfWa1T0g+VLw51CpNMqfX6OW7CDLdV7O13teZ4W4eSLY4fyTE4592wp4t9ZZfx+XDqpEZ27xiM1wsXKOcMJAE79H7w2fffs2Xz85AeNr2OiXNTU7f3dby3M/2oHs6Z2sMOlrxx2PYM112DixoUqroiIiIiIHEL0f9e6QOfjRKQN6mjWAY4Bo7t9DWMM5po/wLTTu30tSndhn7sLe/8V2Lrq7l+vC0x0HAwY0/0LOZyUbG/5Dn4xAzKISAoWHFhrqcnJ7/480mj4yHTwq8hMRBq4XPS/9jgGTctuKDILsdpy7Dv3Yv3e0M8tIiIiIiIiIiIicigo39Xy9vj04DnPqPjg6wqdU+sNrCsDVrZQGChyEHm3oIot1R76Rbp4ZfoAYp17ryi8bWQqo+IiuWtsOuPjIgkA92wp6tJ6xhgVmbUlNh5zw/lccNukJpv3LTLbY86MQZ1fp+BVbH1B548XEREREREREZEOUaFZL2TiUzBHnd1zC1YWw9rPem69TjLdXHznSxnCxqIR1JXWtLj/618+TMXm7VRn72LLY8/jr6vv1jyyV+KgdLxLV4Q7hoj0Fi4Xg647mrSMLZjuPLm36TPsy3dgvfp9LyIiIiIiIiIiIrKHzd9A4P17oTyv5QFbPsNu/QJbVYTdvQ279p2eDSgt2x0JgUC4U4h0yYaq4DmbaYmRXLQsl2r/3tuv37a+kP/llAHQJ9IJwLi4yB7PeNhITMZ8/xTMaB9Op4Nbr5vRuMvhaNpVYMbkfhw3veVCs/+9tZ6ICX/ky2U5ra/lr4Dsf2Brd4QovIiIiIiIiIiItMUV7gDSiuSMjo1PSIOKzt+Ny77yAPQbiemBrm2dNvsS2LwUNiwI+dSe1FG89Mu27+C36a/PsOmvz4R8bTmw+D5JUJob7hgiEm5OJ3HTx5ExK5LYyG09s+bWr7Av/BQuvR8TEdMza4qIiIiIiIiIiIj0UnbbAuzrP2t7UFku9o07eyaQtF9pebgTiHTZgCg3AO8UVre4v9oXwBuwLCmtBeCY5GhWltcyMT4Kt0OdydrLby0v5Fbwn+xSRsZEcMeoPgyOCX72xCfC1CMwJ6dgYjyNx9x36wn87IaZnPPdV1iyehc+X7CwNTLCyTfPm4Cjhc+/ptbLVbe8DcBFP3idF/58Lt/79Yfs2l3FNRdO4qE7T9p708lADeQ8ge33DUzc+O79AEREREREREREDnPqaNZbJfdreounlsQmYr73CObW5+CYC7q2Xl0V9rEfYHdndW2ebmRcEZiLbweHM+RzL/+kMuRzSui4ItzhjiAi4eJyET97MgNvmM34nw5l+IlFxEb2cOHpzhXY//0IW1vRs+uKiIiIiIiIiIiI9CI24MN+9ki4Y0hn1deFO4FIl10zKImL+sVjW9l/enocX1fUURsIjpj8WSZHfb6dX20qZFlZbc8FPYhV+QKcsziLq1fm8klRDU9klfFkqR9On4v5yYWYX8zGcU4iJsbf7Nj42Ai+WpHbWGQGUO/xs2B5y93Kvlq595zfpNFp/PWZ5WzaXkJFlYe/PL2c1+dvobbOy9Ovr6WopAasD/KexpYtCv0bFxERERERERGRRio066WMOxLSh7Y9qLYKRkzF9B+JcYWgEKeyBPv3m7FlBV2fq5uYlH5w1NkhnbM+dTSZH28O6ZwSWi63mi+KHK4GX380w2YXkJKyFZej5btT9ojcddhnbsJWdr57qIiIiIiIiIiIiMhBbd0HUJod7hTSWXUqspGDX2aNh5w6X4v7zs2IY1BMBPMKq5rte2BrMVet6OEbGR6ErLVcuzKXD3c3PSf33YfPwDE3CjPAg3G2fsNkh8MwbkRqs+3DBiW1OH7WlAHcePmRXHjqaPr2ieW1eVua7M/NryR28kNcc/u79D32EQIBC1gofA27+z2sDbQ4r4iIiIiIiIiIdI0KzXoxc/bN4I5sfUDqAIyzoQAnMjY0i5buwv7jB9ja5l++9hZm7jVgQvdPN6JmF8nD00I2n4Sey6VfVSKHo4jB/UmM3xbuGHvtzsQ+8z1sWV64k4iIiIiIiIiIiIj0vMFTIDIu3Cmks1RoJoeAdRX1LC7d+2/59aMGcXG/eH41Oo2Xpw8E4J0WCs0A0iKcPZLxYOW3llvWF/BafiVuA+kNn9dvr51D3/T2XY/icBjm/edSnn3wbN7/1yX8654zWPbq1fz+J8e3OD4m2s3ff3sqZ84Zzv/e2tBs/w/v/qjxeSBgcY17gH++tIoFy3PYteltyH8Ba1suPBQRERERERERkc5Tm6BezEw8Hn7wBPbNh2HnWvDWNx3Qb8Te54PHh27hgu3Yp++E6x/COHrfl60mbSA2bSDszmrX+F3uSSQl+IkuXt/yfHXV9D9iMKWZ6lLTWzkcrd8VTUQOXcmzhmMcW8Mdo6nSXOxLP4Nr/4lxRYQ7jYiIiIiI9FIOY3EYG+4YBy0HFvTxiYiI9CibtRybuQgz40pMTHLLg2JTIWUw7Gr5nJv0XtY6wFN/4IEivdw5feNJcjso8wYYExvBGRlxnN03vnH/uwWVLC6txQHs3+vq0SP69WjWg4E3YFlZXscXJdU8mVXGhioPAH8Yn8Fdm3YDcPxJHfvc+mfEc8XZrV+/Yq1ld0kNfVJiMCZ4HUBZZft/P93wiw9wuRz4fAEqVkQQ54yB9PM6lFFERERERA4NOh/XNTofJyJtUZugXsTa5r+tzaBxOL7/D8zvP8J8/x9w/OUQ1XCnwKh97hg4cCz0Gxm6MBsXYt/8S+jmCzFz6Z3t7mqWuaiAV3+5iJK4I5rts7HJLNs0gHWvrw51RAkhp+rMRA5LUan7nwLsJQq3wup3w51CREREREREREREJHR2b4Xlz2OfugbrqWm22xZlYp+9QUVmBytnVLgTiISE22GYd8wQoh2GTdUeLluWw8KSGur8AdZW1HHd13kA/Gh4CttOHslL0wfy2zF9qD97HEck6OcAgtelvFdQyYVLskl7fyOzvtzO7esL2VDlIdnt4JkpA8it81HuCzCuTxLHTR8UsrVz8itJnv4wfWc9wrnffaVx+4+untaheXy+4DnEM657CVu6AFufH7KMIiIiIiIiIiKiQrNew9ZWYv/0LWzelhb3G3ckZuQ0HBf8FPOrNzHn/BBz1Fl79ztdmG8/APGpoQv12f+wWb3zZJEZOQ1z7g/bNTaxf/AOZguf2YDdp/tMfeoo3n66gk3vruuWjBJCRpVmIoebuJkTiY9rX+fKcLALnsLWlIc7hoiIiIiIiIiIiEhoxKcH/6wpgZUvN2621mJXvIz97/VQlBmmcCIie01JjObfU/rjAF7Pr+S4BTuIe3cjR36WSaHHz+SESH4zJp0hMRFc0C+Bn4/ug1PnmwHwBCyXLsvhnCXZvFlQSbXfkux2cFZGHA9P7MvaE0eypKyWv2QWA3Df7aficITms8stqGTwnL9T0dA17Z1PM/liWTYVVfWUlNfx6iMXMG1CBmNHpPDz7x3TrjkXrMglfeZfueKSc8jPzwtJThERERERERERUaFZr2A9ddgn/g9yNsDW5Qccb6LjMSd9EzOy6V2dTNpAzDk/CG22dx4N6XwhNedKmHTCAYeNmRj8s2xnMXWJI8AYCiIn88qvV1CRXdq9GSU0Wuj2JyKHJkdMNKnnzmTo8eU4jC/ccVpXUYB97AoC7/8RW18d7jQiIiIiIiIiIiIiXTPyeEgdCoBd/TbWBrDVJdjXbsN+8jD4PeHNJyI9KrfWS4XXH+4YrbqkfyKLjx/Ghf3iSYtwNm4/KS2Wd44eQqxLl8K05O7Nu3ktv5IIh+FHw1NYdvxwCk4bwxszBvP9YSn8bXsJf91egs/CVadP4qyzh4Rs7cdf+LrZtjnfeI6kaQ+TcczfuPD7r7F8XQEZqbH87sfH8dFTl7Vr3uKyOl54axk/+PZp2N3vYgPekGUWERERERERETlcucId4HBnrcU+83PY/nXwdXEuXbof1JRT4ZX7ob4mFPFg82Ls9lWYYZNDM18IGWOwfYfDmk/bHOeqLmx8vuStAhL6DWb9G190bzgJLd1hTuSwkXrmVPqN3BbuGO1TUwbLXw0Wmp37K4x+V4mIiIiIiIiIiMhByjic2NRhULwDKnZh378Xti+C2rJwR5OQCIQ7gBwkqn0BrlmZy2v5lUQ5DDOTozkmJYaMSBcX9ounf5S7W9bdVu3h6ewyMms89Ity87ORaaTsU0DWkimJ0bw4fRDWWkq9ASIdRgVmbcip9fLHbcFOZU9N6c8l/RObjSmo33sTyD/+6viQnvt65f3N7Rr32ZJsVq4voG+fuAOOHdg3jnt/Oodv3voOL7+3luz1bzFobC1kXNTVuCIiIiIiIiIihzUVmoVbwA871uyzoWtf1BmXGztmJqz+uGu59uXsni+LQ8EccwF24etQVdLi/vrU0ezMNEAuADlLdvRYNgmd8rIamn/NLSKHotqschgZ7hQdtPYDGHYUHHFmuJOIiIiIiIiIiIiIdJgt2AT5G2DrPjdqXP9++AJJ6PnrYcAQyN0Z7iTSi1lruXJFDu8UVAFQF7B8WlzDp8XBm9z+YkMh82cNYXpSdEjX/efOUn64Nh9PwDZu21Hj4cXpg9p1vDHmgEVpAn/fUYInYJmdEsPF/RJaHHNSWiz/zioD4OSrn2fCqDS255SzfF0BR03qS02tj9tvOJorzxnf4fUT4iJb3Xf9pZOJiHDyyH9XALByfQHfvviIA86Zk1/F9pxyRg1JYsvOMjZmljCo3xJs1CBM4owOZxQRERERERERkSDdzinMjNOFOeEbe1/Hdr2cxoyb1fGDnC4YPGFvUVlsIkw/E3PDw5jBHf+SsKeY5L6Ya+8P5t+PjU3h5V8uY+l/loYhmYRS1tINuI+aGu4YItIDqpasJXvlIGzg4PpPFPv+H7HFOkEvIiIiIiIiIiIiBx/7wb3Y+Q9CwHfgwXJQMsbCuDhw6T600roX8yp4p6CKKIfh82OHsvT4YTw4IYObhiYzOSGSKn+A32zaHdI1Pyis4rurd+EJWE5Mi+H09GAXq+VldSFd53BX7vXz2M5SAH48PKXVTmUX90vgySP7Ex/hYt3WYl58bxNL1+QTCFh25FawZvNurrrlba74yZt8+4532VVY1e4Mbz9+ET/61jQmjkojNSmqyb6vVuby1sdbG18PyIgH4K4fzT7gvL96+Eu27CwDoF+f2ODGwjewdTntziYiIiIiIiIiIk3pm+Te4KSroaYCPn4a+8kzMGgcpPTDZAzr3HxDJnRsfFIG5vqHMP1HYetrg93BkvtiHAfHXb/M8Mlw8c+wL9zdZHu5ayCwIyyZJPRWL9zE8BnTiY5w4vR7CWzLxF9SFu5YItINSj9YijvpWPoO2xbuKO3nrcO++iu49nGMq/U7MoqIiIiIiIiIiIj0JrYkC3YfRN/FSqcZ7y7snDHgTYBqH9TVw8b14FeBoUBmtYebVu8C4LaRacxKiQFgSmKwe9m6yjomf5rJp0XV1PsDRDq7fsPAgLXcsaEAgOsHJ/HoEf24cGk2AHNSY7o8vwRtqKzn21/nUuYNMCY2gnP6xrc61uUwXDUoiXJfgB+tzW/cnhAXwexpA3jlg80AvPDuRgCefHUtq9+6lomj+xwwR0pSNLV1PtZuKWrcNiAjjtyCKtbts23s8BROOy54rcxPv30UO3LL+ffLa5rM9c3zJ/DM6+uarTFuRGrwifVB3n+xQ36AccYeMJuIiIiIiIiIiDSlQrNewBgDZ98MCWnYL1/CPv4jiIqDu+dhWujUdUAZwyAiCjztu8uXOf//MP1HBZ9HRkPkgI6vGWZm5nnYvC3wxQuN23asrgxjIgk1X52HzZ+vanwdlRTPuKOn41u8LIypRKS77H59KX1+3B+nOYjuWFm4BRY+C8d9O9xJREREREQkzIwJPqRzDIANdwoREZHDxJZPw51AepDx7QKzC+KAOLAnjIRsB2xeH+5oEkYVXj+XLcuh3BdgZnI0PxuV1mzM+LhIMiKdFNT7WVRay5y0rhfvvFNQxeqKehJcDu4Zl8FDmSW8VVCFA/jpyNQuzy9QWO/jpK92sNvjJ8JhePzI/jjb8X9W9y30u/2GGdz70xMAePezbfzrpdW8Nm9L4/4jzvkPpct+RGL8gW/E+OXypl3GTp09jMvOHMuqjYXU1fux1vL9b0xt3B8d5ebi08Y0KzRrqcgsPjYC574FkL5SKHwL+l1+wFwiIiIiInJw0vm4rtH5OBFpiwrNegljDMy5AjPnCmxRDtSUg+nkXcCWf9DuIjOiYmHYEZ1bp5cx5/0YW1EMq+ZjI2LY9K5OiBzK6soqWfnRKqZOH4V345YDHyAiBxXjcmGts+H/zRw87K6NB1tkEREREREREREROYzZzZ+GO4KEkfEVYvtayEuAqopwx5EeZq3ltV2V/HhdPnl1PtIinDw/bSARjuZnOowxnJgWy/O5FbyWX8mslBjcDkO5148leDrHZy0pbmfw2od2eKsgeOPYawYlsam6vrG72R8nZDAhPipUb/Ow9mFhFbs9fgZHu3n36MGMbUcxWLnXz/TPMwFwOR1NCr/OnDOCM+eM4OSrn+eTxVmN22+9/xMe/93pB5z7nv87nvNveq3x9bFTB3Dq7GGcOntYq8ecfvxwTjx6cJP1WmIMfLUil807Sqiq8XLhKaPo784+YCYREREREREREWlOhWa9kEkbCAzs9PF285L2DXS6Md9+AJPQ/I5kByPjdME3f4f1e6jJK8ZXnx/uSNIDbHVNuCOISDfod/k0XI6DsIjUBsKdQERERERERERERKRdbFkuFB6E38NKaBln8Caoclip8gX41spc3sgPFnsNi3Hz7NSBDIx2t3rMKX3ieD63gr9tL+Fv20twGvDvd+fzkbERHJMczVkZ8ZyVEUe0s/Wb65Z4/AC8V1jFX7aXAHBZ/wR+MCyli+9O9vDa4F9QrNOQEdny5UEF9T7eK6jiq9IaVpbVsaqijj1nu04/fhjpKbE88eIqHn/+a2ZPH8jIIclk5pQ1maOq2tOuPOeePIqqr3/C06+vpW+fOM6fO6pdx3309OV4PH7ue2Ixv/7Lly2OqajyMPuKZxtfv/rBJj545rtEtGsFERERERERERHZlwrNDkHm/J9gXS7I3gDeeoiIhv4jMUfOheR+wS5mUXEQEY1xdLJrWi9lnC741r2UP/sixrEYG9AF/4e8fv0gOzfcKUQkxIzzIO3JHPCHO4GIiIiIiIiIiIhI+3hqIDIO6qvCnUTCyBDADhsF2zaFO4qEiN9anthZygu5FVzQL55z+8YzNGZvuU1RvY+zl2SxrKwOt4HbRqZxx6g0otooCgP4xoBEVpTV8s+sMuoDtlmRGcDWag9bqz08k1NOitvJ3WPTuWFocovzndM3ntfzK9nSUKQ0KMrFI0f0a3dHNDmwszLiSXQVsKHKw4B5m5mdEsPE+Ej6R7nwBCwfFVXzZUlNs7/LPhFOdnv8vP3JNqImPdi4ffm6gmZrDMiIa1c3sz1iot1894opHX4vERFOfvn9Wfzy+7MatwUCFte4B1oc/+mSbK76yXO8+M6dHV5LRERERERERORwp0KzQ5CJTcRc9otwxwgb44pg4Leu4sQ+g/ji8p/grawOdyTpRoWlteiediKHnoK3txB7ZR8iHCXkrBlIbeZuYkZlkDq2hmhXYbjjtU4dzUREREREREREROQgYdJHwVX/xL5xJxRlhjuOhNOQJNgW7hASKrevL+DPmcGOY1+U1PB/6wo4v288/5s2kCKPj9MW7mRDlYdUt5M3jx7E0ckx7ZrX5TA8PKkfD03sS4nHj8daEl1OHAYCNtg9a0FJDZ8WVfPKrkqyar3ctGYXFT4/t4xMazbftwYlMSjazTPZZZycFsuctFiS3M5QfxyHtfRIF+/NHMKNq/JYU1nPx0XVfFzU/PqJ6YlRnNQnlumJ0RyVHE2Cy8G5S7JZUFIDQFSEi1Hx0VT4AkRHR7Ixv4Qzjh/OH392IuNGpPb022rkcBguPm0ML3/QcqFsXkFFDycSERERERERETk0qNBMDlkDzpzDqV/8j49Pv47a/N3hjiPdJHflZjJmTcC7el24o4hICHnzCtj2pJekOWMpfe8rAOo2bad0fiQZl84gvf+WMCdshQrNRERERERERERE5CBikgbAFX/HvnMXZC4IdxwJF98WGDwMsraHO4l00ZqKOh7OLAHgt2PS+XB3FZ8X1/B6fiX/ySrl4cwSNld7GBDl4oOZQxgbH9nhNRzGkBbZ8qUmZ2XEc1ZGPH8Yn8G9W4r4zabd3LGhkBnJ0RyfGtts/ElpsZyU1ny7hM6M5GhWzBnOxioPXxTXsLXGQ36dD4tlZnIMp6fHMSI2otlxH88awq837ua5knoePnIwZ8fubXtmUybhuGo2ZrC3J99Ki/597xlccOoocvIruf2Bzxq3JydGceMVR4UxmYiIiIiIiIjIwUuFZnJIS5k8ltO+eo6PTv0OlVt3hjuOdJOswhr6OZ3g93frOq6+6TB4ED6nm3qvH6fDQbS/nkDmdvyl5d26tsjhyFdUQtErXzXZZuvqKV+WR/q5YQp1ILHhu2ujiIiIiIiIiIiISGeYiBg47/fYzx+F5S+GO46EgTFgR8dDtgFrD3xAKIweD0lxEOkEdwC8DiiqhJ07oKaqZzIcgj4orMICZ6TH8bNRaRyfGsM3V+Sys9bLnzNL2FLtYXC0m49mDWFYTPPiolBxGsMvRvdhR42XJ7PL+PHafJYfPxxjTLetKa0zxjAuPpJxHSgsdBrD3ePSuRuApr8XTMlu7JZKzOCokObsjLjYCK44ezx/fnJZk+2l5XVccObRYUolIiIiIiIiInJwU6GZHPLihw3i1M//y+vD5+Kvqw93HOkGRVtzcE0cST9vBb7cXc32RxwxgUp3DOWFZcQmx5EQ7cLk5uLLyWv3Gu5Rw9mcW03Vx6tb2GtJHzuSAQOT8a9cha33dOHdiEibjCHt+L7AtnAnaVlS/3AnEBERERGRXsA0PKRz9NmJiIj0PONwYk74AQGfB1a9Hu44EgbGm4M9eRKsLYb83OYDklJh/CiIqQMbAF8sFNcEC8MqO3BDRpcLZh2FMZv2bvMDDiAdbJ8IcE+AylhYvRbqarr4zg4ve+q4VpTXcsrCHXxSFPz8IgxsqfYQ6zS8ffTgbi0y29f94zN4Lrec1RX1bKn2MDqu4x3UDia1/gDZtV7KvAEA+ka6GBTt6rECuypfgI1V9WTVeCn1+iny+KkLBEh0OUmOcJLidjIkxs34uEhcji5kSkrBTIkHwt/RDCAQsLw2b3Oz7U++to6bx4UhkIiIiIiI9Aidj+safXYi0hYVmslhIaZfOoMvOpXtz74V7ijSTfLXZlIaF0Of0RNISoknIj8PUlPJ3lXB7q+af6kMYJyROJwOjMPB4GljSKoowrs9q8kYV9906ocMY+2nX2P9gVZWNxRu3Enhxp3EpCYy6pgR2BUrmxecORwQaG0OETkgYxh4w7EkJ20Nd5KWGSdm2PRwpxARERERERERERHpNDPtUqwKzQ5bxpuDHRMBE48EXxRsLwye3xqWAr5MjNnctK4kFWyKA0wfwBG8QskxBLbshuztTSePjIKx4yCtFuPbRGuMAXy7IBrszEQITIaVG6CyrOlAhxMC/pC870PJxf0S+O2m3RTU+ymor8Fl4NL+ieys8bCgtJYbh6YwvgNdrboq3uUgwmGoD1g8gR7qlteDqnwBPi2u5rOiapaU1bK4tBbffm9zZGwE/zc8lW8PTupacVcLfAHLWwWVvF9YxZfFNWyu9tCeTznaYTg9PY7rhyRzSp/YjhXCpffF3DATk9Q7iswAVq4v4ItlOc22zzjmpDCkERERERERERE5+KnQTA4bEUkJ4Y4g3ay+qoacFZvZ+xVy8+5m+7L+AP6G4rHMBWsAS+rIYSRmJFNdUklZdiH1W0tha2m7M9QUl7Nq3grSxwxmUJKbQGkZFX36s3PFZqw3wORpw/CuXtep9ydyWHO5GHTd0b23yMzpxlzxEGbI1HAnEREREREREREREem8yPhwJ5AwM3jA23BjxqENG/0lrd7mOlig4g8+LODfCsPBjhoFJIOjHgLl4CvHmJ3g60AWWw9mE3Z6ApSOgB07YORwSCgGXym4B8IXm8FT38l3e+gZEhPB/GOG8u+sUtIiXFw3JImAhTEfB8+v3DAkuUfz/DurlEpfgL6RLsYe5N3MrLXsrPWysKSWhaU1fFVSy+qKOva/zWi8y0GK24kFdtV52Vrt4aY1u/hfbjmvHjWIlAhnSPJUeP2cuTiLRaW1TbanRzgZHhtBittJn0gnkQ4HZV4/ZV4/JV4/m6o8VPoCvJZfyWv5lRybEs3z0wbSL8p94EUHD8NcewQmvgM/yD1g/MhUItxOPN69xafDhg5kxolXhzGViIiIiIiIiMjBS4Vmctio2pEb7gjS6xmKt+ZQvLX53c46qnBTFoV7Xmwubty+cVMBo/uk4d9d1OU1RA4X7gEZDL5kMLFR28IdpXVj5jQrMrM2AJiO3QVSREREREREREREJJzK88KdQA4Rxl8MFAdr0KChVVkn5wpUQWIVTAbYFpzTGPDlYmdPho+XdD3wIWRGcjQzkqMbXz+0rRgLnJQWy8jYiB7N8p+sMgBuGZEa8m5ePaHeH+Cdgio+2F3F/N3V7Kxt3sVrWIybuWmxHJ0cw5y0GIbF7P2Mq3wB/pNVyq837ebLkhouX57Dh8cMCUm2G1fvYlFpLUluB98alMSJabHMSIomPbL1y4Byaj28sSv4fubtrsJrYUFJLYPmbSHz5JEMjmnl34cxcMLxmFPjMe6mnQR35pbz9YZCzjphBC6XIyTvraOio9w8++DZXPLDNxq3TT/qmGbjrA1gTHgyioiIiIiIiIgcTFRoJoeN+BGDwh1BhJricgoHjiS1pBT8/gMfIHIYixo9lJTZg0hJ247DkR3uOG0yQ6c3Prc7lmE//xcUbIGYJJhxGUy/WAVnIiIiIiIiIiIi0vtFxkF0EtSWhTuJSLsY/1bsMTNh4aJwR+lVVpbX0i/STazTNBZ7nZ4e16MZrLWsqqgD4Ny+B1e3xPw6H//YWcLjO0op9Ow9p+syMCUxilkpMcxKjmFmcjQDolvvBBbncvCD4anMSYvl6M8z+biomjUVdUxKiOpSviWltbyUV4HTwDtHD+bo5JhWxwYCAW7bUMgz2eUUe1s/Pz3ry+3knDpmvzeQAEdPxcxIxqQ2L7IDOO97r7J6024ASpb+kKQuvrfOuui0MXjX38Jjz68iEDuJm2/9IwDWUwy734a6HAjUYWPHQJ+zMO6e7e4nIiIiIiIiInIwUaGZHDam//nnRKYmserXfw13FDnM5a3aSvLc6TgWLQ53FJFeyd23D0OuHES0OxdjtoQ7TvsMDXYzs2V52JfvgPrq4HZPDfbDhyB3HfQbC043JPaFodMw7vCcaBMRERERERERERFpjUkZDFc9gX39Tth9kHw/K+LeDGMnwsa14U4Sdn5rmfzpNjZWeZpsT49w8q1BiT2apT5g8drg89QIZ4+u3VnegOUPW4u4d0sRnkAw/IAoFxf3T2BuWizHpcYS14muXUckRHF8aiwfFVWzuLS2y4Vmf91eDMCVAxLbLDL7ZHc15y/NotpvG7c5CRbAlfsCTcaWeQN4Axa3w4DLjfnmmTDGj3EBtFxkBjB7+sDGQrNv3fYOb/zjok6/r65yOh3c9I0pMPQ2jDHYQD3k/hu8RXsHVa2Bmi3YtDPBXw2uBHCnQPRQdTsTEREREREREWmgQjM5bBhjOOJXNxM3fBALv/1zAt7WvwwV6W7r5i9n6nFH4F25OtxRRMLKERtNwrETieobRdWmUmrW72DwFUOIicgBDpIOYFHxkDQAAPv+g3uLzPa17kPsug/3vo5NgXN+gRkxs4dCioiIiIiIiIiIiLSPSegLVzyK/eBe2PRxuOOIHJAxYPuVQWl/KMgLd5ywyarxcsHSrGZFZgCFHj/JnSiQ6oq6wN7ipmhnx9eu8gX49aZCoh0OfjYqrVMFXh2xs8bDJctyWFEe7MJ2dHI0Px6ewvl9E4LFV100IT6Sj4qq2VhV36V5qnwBXt9VCcBNw1JaHfdkVhnXr8pjz9/CsSnR3D4ijTP7xpNf52PgvM0AnN4vkUuOncyxM0bhrqyHjRswF8/FTGi9+9m+fv+T43n02ZUA1Hnad0y3csZiIlKDz4veb1pktkegDgpfbbotoi+23xWYyL7dn1FEREREREREpJdToZkcdoZfdR6xg/rx6QU34yktD3ccOWwZ1q/OZly/DHy7CsIdRqTHuPtn4IiKIFBbjyslnkFnxBLlygYgvT/YE2IxJifMKTsovk/wrojbFsG2he07prok2Pns2n9i0kd0bz4RERERERERERGRDjLuKDjrN9BnFPbLxwF7oENEwsoEarAT06G8DOpqwh0nLKZ9vo1S794uVe8cPZizFmc1vj7+q518PmsIDkfPFJxF71OcVeMPEOFovatZXp2Xv+8oxWctq8vrKPMFKPX42VwdLJor9/n566R+3ZY1p9bL3IU72V7jJcXt5C+T+nJZ/wSMCd1NEUfERgCws6ZrN8T9pKia2oBlWIyb6Yktd0Yr8fj43upgkVmM0/DGjMG8mV/JPVuL+cbXu6j0+gBIj4nkngcv4shpaY3H2kA/jKPl3/mBgOXL5Tns2l3FuSeNJDrKTWJ8JFVf/4T1W4uYNrEXFGm5gp37bF0ulLXzvB2AJx9ynsAO/iHG3bPd/0REREREREREehsVmslhKWPODC7c+THrH/wPq3/7t3DHkcNUXXkVuwYNJ91dglWHPTkMDLxxNinJWwEv4ACqGx57hfKEXY+JScIGfNj5f+3Ycb567Jt3wdX/wEREd082EREREREJC2Msxuhi7M4yupBdRESkVzDGwNFXwcQzsJ89AhvmhTuSSJuMrxB77AT4aGm4o/Q4b8A2KTL7xoBETkuPI+uUUQyetwWARaW1RLyzEd8543skU4TDEOEweAKW7FovSe5goVl+nY9ncspYWlZLqddPnwgXHxdVU9RGN6y/7yjl/0akMiwmotm+en+Aq1bkMr+omkFRbj6aNYTVFXU8l1vB2LgIfjoitc3zT7X+ABctzWZ7jZeRsRHMO2YIg6LdXf8A9pPY0JGtyh84wMi2vbqrAoCzMuJbfV/nLsnGa4Nn49adMIIbV+/iw91Nz8mlJUcz/+nLmTg6rcl200r3tq07S/nW7e+wcGUeTqfhgrmj+e8fzyYiwklMtJvp3VgI2CHOOKy1UPg6YMkrqOS5dzZQUFRDWnI0P7lmOm53K0WP/irIfwE74NsYhy6nEhERERHp7XQ+rmt0Pk5E2qJvRuSw5Y6P44hffZ/sNz6i9OsN4Y4jh6n8tZkknzQV15LF4Y4i0q2STj2qocjsEBSTBDlroGh7x48t2IJ97idwyX2YGN0dUURERERERERERHofE5sKc2/BZi2H6pJwxxFpk/Ftwx57DCzoQCejQ8C2hs5fAHFOw7+n9Aegf5SbHXNHMnT+3nM0N67K47HJ/bs9kzGGuWmxvFtYxS82FvLitIG8uquS61blUR9ofjFbRqSTgVFuYpwOpiRGMSYugkv6J3L24iyWlNWypLS2SaGZL2B5I7+S9wureC2/EoD1VfX0+3Bzk3mPS43h6OSYVnP+fEMhy8vrSHU7eX/m4G4pMgOIbyg0q/R1vtCsyhfgtV3B93pxv4QWx8wrrGRRaS0APx2RitNhGovM/n3vGUwdn0FKUjTpKTFERLTeZW5fG7cVM+Pip6lq6Mbm91te/mATGX1i+esv53b6/XQLZyzU50JdFgVF1Yw/819UVO39+fjZHz8j+/PvMSAjvuXja7dB7r+w/a/COGN7KLSIiIiIiIiISO/iCHcAkXAyDgdH3v3jcMeQw9yGj5fjnjYl3DFEulXyuEP4Pzki47CZSzp/fM5q7NM3Yst2hS6TiIiIiIiIiIiISAiZiBjMrO+EO4ZI+zg3woTJ4U7Ro3bW7C2kuaBfAs59Ol0NjI7Ac9bYxtf/yirD9dZ6nsou6/Zct49KI8JheKegillfbuebK3OpD1imJ0YxKnZv0ZgDeG36IBYfP5xPjh3Knyb25cahKaREOBkaEyz8eqegqnF8bq2X2V9u57LlOfyn4X3EOk2zC2CiHYbBbRSObays52/bgwW0T07pz9AWOqaFSmxDoVl1FwrNHttZQpU/wKjYCI5NiW5xzCM7SgFIcju4e1w6v99cBMCsKQO45sJJHDE2nYF949tdZAaw8Os8qmq8JMZHsuOT7/LQnScB8PzbGwi0UDTY0/z+AIu+zuOFdzewZlMBtmo9APf/c3GTIrM9Xt2vGLGZ2kzIegRbX9AdcUVEREREREREer1D+KpvkfYZcOYcYgb1C3cMOawZ1i3PxDVoQLiDiHSbqIjScEfoPpGxXb+Lb3EW9skbsNmrQ5NJREREREREREREJNQmngnulgsbRHoTYwz0KYR+g8Idpcf8cG1+4/N/TW5+7tvhcPCfI5t2MfvO13nk1Xm7NdexKTG8MWMQEQZWVdQHsw5L4dT0OLbs04XtjxMymJHSctexsXGRAPwvt5ydNR7KvX5O+moHy8rriHIYRsdGcHJaLMuOH86i44Y1OfbBCX3pF9V6odk9W4oIAOdmxHNGax2uQiSuix3Nij0+/rAlWDT2s1FpwX/nLdjT3W5ifCTPZJfz2M7gObo6j69T6wKMGZYCQHllPRszi7n+0mAhZ3FZLRVV9Z2eN1R+fM/HzLrsv1zxk7eYfOKPufamewH4fEl2i+NnTdl7Xv6RZ1dwzKXPsLukpukgbzFkP4KtXNttuUVEREREREREeisVmslhzxiDv7Yu3DHkMFdfVUNuIAoT2X13yRMJp6rKPuGO0G1MZBw4Q/CzW12M/e/3sUtewNrw3/1RREREREREREREpCkDvvAXFIi0h7H1MD4GYuLCHaVHbKvZWzDmcLR8Gcg3ByXx8awhTbZduiynW3MBnNInjhlJwSLVRJeDP07I4LEde29Q+N0hyfxweGqrx39zUCKp7mD3rREfbaXvB5vYVuOlX6SL5XOGs/6kkXxwzBBGxUWyuKy28bh7x6Vzw9DkVufdXe/jxbxyAH4xOq1L77E9Yp3Bv5cqf8cLzWp8AS5Ykk2pN8DE+EiuGpjY6tgoZ7AArcoXYETs3iK7XYVVFBZXU1FVT3llx36XzzyyP+ecOAIIdgN7+vVg8VWE20lCQyFgOG3b2fSGl0+/9Cm5BZVMGrP3/GRqUjQJcRE899A5TJvYF4DbH/iUH9w1n8WrdjH+jH81nzhQD7uewRa8hg10b1GmiIiIiIiIiEhvokIzOewF/H7qi8vCHUOEwk1Z1E+aHO4YIt2ieGFRuCN0n8QMKMsLzVwBP3bew9h371OxmYiIiIiIiIiIiPQudRVgO9eJRyQcjG83HDMGWun8dKh4J7+yyetAoPWf0+NTY/GdM77x9aLSWk7+agdXLs/h46Lqbsu4p/gpLcLJ0rJair1+AK4bnMTfjmjegW1fw2IiOC19b8Gg10Ky28FrMwYxZr8ipy+Lg12pzsqI49aRbRePvVNQhc/CkQlRTE3q/m6Nia5gsVy519+hc0B+a/nmyly+Kq0lye3gqSkDcLbxb/ropGBnuFUV9YyJjeTvDZ/vrt3V9J31CEnTHiZ5+sPk7Pfvpi1en5/Cho5fkREu7njwcwBuu34GDkf4f77uu/WEZtumXfAU9996AsdNH8gt35lBwcKbKV7yQy47cxwA8xbs4IF/LmkcX1xWywvvbmh5gfJFwe5m/pqW94uIiIiIiIiIHGJUaCaHPU9JOehifuklNn26EvdRU8MdQyTkalZtosbTP9wxukdkLOStC+2cX78Jy14J7ZwiIiIiIiIiIiIiXVFTeuAxIr2M8W2H2TPDHaPbvF1QyXlLsxtfn50R12pHs9Z8VlzDi3kVnLpwJw9s7Z4bB46PDxaE7ar3MSQ6onH7P7PKOHvxzgMef+3gJDIinYyLi+BfR/Zn6fHDmd5CcVh2bbDr1OyUmAPO+XZBsNDq3L7x7XoPXZUSESw081qo9LWvaLfWH+CyZTm8kV9JpMPw+lGDmZwY1eYx94/PwGXAAmcu3sl5rby/nbnl7c7+8FPLWLxqFwCPPf91Y0e046YPavcc3WnSmD7Mf/Iyzp87qnFbYXENC7/O47Nnr+T+207A4TA4G7rKPfrsSk779ovN5rnv8cWtL1K/C/Ke0Y0iRUREREREROSwoEIzOezV5OSHO4LIPgyrF2/BPbR3fCkvEko1ZbHhjtAt7Mt3QG1F6Odd8BTWVx/yeUVEREREpAeYYNMEPTr3IPw3xBcREZGWVOicmhykzEY44shwpwi5/2SVcvmynCbbXp8xuNXx1lrm767iWytyG7fFuxw8M2UA1w9OAuDODYW80IECpPaq8QeLc+r9lvSIppepvF944E5qJ6bFknvqGNacOJJvDUpiaExEi+NmJAeLz/6+o7TNgiBvwDJ/d3DdszPiWh0XSnEuB2kNxWbbajwHHF9Q7+OUhTt5vaHI7LlpA5mdeuACuhiXg1tHBLu5fV1Rz4X7FCLukZoUzaypA9qd/XePLmx87mnoRgeweFVeu+fobicdM4QX/nxuk21X/N9bXHDTq8z/akeT7TffNa/x+ao3r+X044YBMKLh56BVtZlQvTEUcUVEREREJBR6wTmtg/mh83Ei0hYVmslhr+DzpeGOINKEr6aOrDoXJrrtu9GJHGx0g78Oqi6GVe9is77G5q4NdxoRERERERERERE5zNmsleGOINIpxhhIzocBQ8IdJWQ2V9Xz47X51AUOfPJle42HX20sZORHWzl9URbPNhSSDY128/SUAVwxMJGfj+7DoCgXFvjGilx+vbGwU7l21nj4zaZCrlqRw/dX7+LfWaXcvHoX/8wqA2BAtKvDHdfaq9zr54Xc4I0BnQe4WG5FeS1V/gApbidHHqBDWCiNjQt2dvu6vK7VMdZans8tZ9pnmSwqrSXJ7eC9mYM71Hntd+PSmZ4UfF+LSmub7d/+8Y3Bn4t2eu5P57S4PSrS1e45eoLL5SB1n053NbVe3vhoK6de+yLVDcV9mdlljfuvOnc8k8b0ITs/2N0u0u088CLF87D+Omz5Uqy/+WcrIiIiIiIiInIo6F3f+oj0oIDPh8PlIv+TxeGOItJM0dYcUuYcSeTy3lUI6T5iAlXuGCIinLgDfkxtDYHsHPylob+zoRx6dAOMjrOLnoWYJMhbjx1+NGbODZj+48IdS0RERERERERERA4T1lqwfozDBVm965yFSEcYPNix8VAWD9WV4Y7TnMMJs2YEr+DwWKjzQWU15GZDTVXjsB01Hh7ZXsLLeRVU+y0Dolzk1vka90e+tZ7SM8ZiDLyYV8FvNhaSvc9+gDPT4/j+sBRO6ROLwxi2Vns4+asdTeb5/ZYi5u2u4r2jB5MY0fZlJfl1Pt4qqOSF3HI+K66hSenbzr1P+0a6+HL2sGbHL5w9tD2f0AE9l1vOrnofQ6LdfDBzSJuFVAtLggVCs1KicXSg4KqrTkiL4cuSGv6ZVcbVg5Jw7rO2tZavSmv57abdfFwU7LY2Li6CV44axOiGArWO+PSYoYz/dCtZtXv/Xq+9YCJ3/eQ44mJb7gjXmrNPHIlvw6188EUmV/7fW5RXeZh5ZH+uPn9Ch3N1J2MMpxw7hOffad51LCbaDcDr87c0brv/thN46rW1rNtSBMAJM1vvCNioPhd2vwEVK2D3W9ikWZB8HMYZG5o3ISIiIiIiIiLSC6jQTA5bn553E4POn0vee5+HO4pIizZ/9jVTTp6Ob/GycEcBwDnzKFZ+shrrDzTZbhyGQdOOILWyCF9OXpjSycEgMt4T7ggHn7K84AMgczE2cwmc8kPMjMvCm0tEREREREREREQOD3WV2Jd/DBPPht3bwp1GpEuMrxg7czR8shICgQMf0FMSkuGoIRjfJrCAu+ERD7ZfFLhHw7pCKrJ3MuuL7RR6/I2H5u5XROYHEt7biIEmBV/HpkRzaf9ErhiQSErE3q5NO2s8nNJQZDYuLoK/TerLtV/nkVXrY0lZHekfbuay/gmc3zeBITFu+ke5CFjYXO1hSWkt83ZXNSsuOyktltPSYynx+Hm/sIrVFfVY4N2jB9M/yt3s7R+VHNP1zxD4aHewOKvM6yer1ku/KBdRDtNiwdmeLl8zQ7R2e317UDJ/3lbC4tJajv1iO7NSYkhyO9lW7eHT4urGv88oh+GOUWncMiKVSGfnOsBFuRxsPmkk5yzOZl5D4drXmwoZkNH+zmj7cjgMZ8wZQenyH3fq+J7yr3vOYOLoPvz2bwvweoM/5889dE7jv4Pz547ilj98AkD/2Y82HnfkuHQuOnVM+xapWBH8M1APJZ9A+VJs/29iooeG7H2IiIiIiIiIiISTCs3ksLV74dfkvvtZuGOItGnNgg0cMXoI3sydrY4xkREwdQq+AEQSwFRXESgoxL+7uO3JjQGHA/x7T0a5x46iNiGFipJKouOjiYt0YjHs3l1B3vyvW5zGBixZSzdQkp7C6HGj8W7Y3Jm3KoeBqKiycEc4BFjsvIexVcWYE7/X5t04RURERERERERERLqsPA8Kt2A/fijcSURCwvi2Y489Gr5Y2PbAyCiYdiS4DNT6oaIaiouhuACsbftYR0Nh0L7FbAOHwtB+EFkHOKHWFexaFu8GsxPjy2o5rwmAbwclQyK4+P0SCj1+Ut1OHpyQwY2rd1EfsEQY+Ofk/lz99d4bQu5JODkhkjtG9eHi/gnN5i72+DhzURbZdT7GxkUwf9ZQMiJdZM4dzR3rC3hwWzF+C//LreB/uRVtvuXpSVFc2C+By/onMCRmb7es34/LIPm9jVT6ArR2SuPm1bv42xH92py/PSKdwQXKfQHmLgyeW52VHM1Hs4biduxd3BewfFQU7BJ3XGrPFpoNjnHzzNQBXLk8h2XldSwrr2uyP9phuHxAIj8blcaIDnYda4nL4eCU9NjGQrPS8jo8Hj8R+xQbHkhVtQeXy0FU5MFxeVF0lJs7v3sMd373GErL64hwO4jd599k9q7m/5YvOGUUzzxwdmPXsw7zV0HO49i+l2Pij+hsdBERERERERGRXuPg+CZIJMSstcQO7oentDzcUUTa5KvzsKMSBsVEE6ipxUS4sV5f4wksE+GmdOhosuetaHZsZEISfccOISkhCrN5E/6SMhwJ8TjGjaGk0kPOqq1gLf0mjSA+MZaC7fmULNsB7OhU1qrCEqrHD6brpzzkUNTn4mNxma2ACqNCYuF/ISYJZl4Z7iQiIiIiIiIiIiJyKItNAVcE+DzhTiISOmYjHDEFVq8Mvo6IBE/93v2x8XDMUIy34eaKMQ2PvmBJA3df8MRBXils3RgcM2AwDOkP0dXgzQUTAa4B4HODqxzjKwAqYE8Dsj1dy6Bp67FW3PX+Bj7L3k2Ew3Df+AxKPH7qA8EDvzh2GNOSo6n2B/jemnzinQ6GxrhZU1nPqop61lfW4wtYXPsUW1X6/Jy7JJtN1R4GRrl4f+YQMvYpJLp3fAbfHZLMcQt2kFfvI87pIMHlIL8++AaGxLiZlhjNzORozu8Xz9CYls8QPpxZTKUvWHAXvU9nrqozxhL3XvCz+8fO0pAUmv18VB8K6/2UevxsrKqnNmD5qrSWf2eVcuPQlMZxi8tqKfUGSHY7mJkc3eV1O+qcvvFsOnkkb+VXklnjpdzrp3+Um1kp0RybEtPkcwqFeQ2d3gB25FawZWcpE0altTr+4aeW8a+XV3PLd2aQEBfJhd9/DYDpE/vyyt/OZ1C/5kWLvVVyYlSzbaP3+bewx9P3n9X5IrM9rB92PYc1Lkzc+K7NJSIiIiIiIiISZio0k8OSMYZjn76P94+9Al9VTbjjiLSpZHse8UePx1fvJffrLUyYOwPHosXgclExegLZi9a1eFx9RTU7l6xnJxARG03SoJEUb8vFn7eqybic5ZtCljXWX483ZLPJocARG82ga6aQGL8NFZmFlv3oERh+NCZ9RLijiIiIiIiIiIiIyCHKxKfDqT/DvntXuKOIhIwxBpuSB8cfA85s8NdB1kDYsS1YZDZzCMab2/Kx+BsKyYABYIeMAgzGVwRsDhaSGQAP+LYHD/K1OFWH7CwNFsJd1j+BawYnccXyHAD6RDiZ1lAsdf3QFK5vKKKx1vKLjYXct7WYuzbv5r3CSv5xRH8mJ0ZR5QtwzuJsFpfWkux28M7MwQxsochmSGwEn80eypGfbqPKH+DpqQM4Mz0OhwFHa+3J9vNsTvDGrz8clsLIhg5dgUCAyZ9t69oH0oJx8ZF8eMwQIFhI980VubxdUMWD24qbFJo9nxvMdGqfOJztfB+h1j/K3SRTd1hRVst5S7LZVd/0H+C4EamtHuP3B/jJPR8DcM3t7zJ+ZCqxMW6qa7wsW5vPn/6zlIfuPLlbc3e3fulxzbbFtlIo2XGBYLHZsNswrvgQzSkiIiIiIiIi0vNCeyskkYNI8hFjOe75h8IdQ6Rddi5eT+7XWwBYN385VZOmkJ3Qlx2tFJntz1NdS+HGnfi9ITiT1YYKuninNznkpJw6hcT4zHDHOERZ7NoPwh1CREREREREREREDnFm3CmY478X7hgiIWWsF2M2YQI1GBOAYXVw0gyYkYzx5bV/Hl9xQ5FZ9/rO0X0BeCmvgjd2VZDqdgLgDbTcDs0Yw91j03nyyP4kuR0sLatj+ueZnLloJ1M+28aXJTUkuhy8N3MIE+Kbd33aY1hMBDcPCxZEPZxZjMth2l1kBuBpyHf6PsU98e9tYlvN3ltX3tlGd63Oinc5uWVEcN5KXwBrgzmyarz8O6sMgOuGJId83d4iu9bLjC+2Nysyc7sdOByt//2t29L03/L6rcVU13g5f+4oAKpqDo1bjp594t6bOEY0/CyFjPVA5erQzikiIiIiIiIi0sNUaCaHtYFnncDYH34z3DFEOsiwfeFayrIKwh2kma1frMZxzNHhjiG9hImKJG1kabhjHNq2Lwt3AhERERERaYEBjNGj049w/wWKiIhIc9OvgBGzw51CpNuYQC3GvxUTqAp3lBadOTaZOcMTqAtYLlqWwz92Bs+/lPkCnLhgOzW+QLNjjDFcNSiJr+eM4LL+CVjgw93VbK/xMiDKxXszhzA9KfqAa984JFho9nlxDYX17buppTdgeTq7jI1VwU5s/aJcjfvq9yuOu2tservm7KipicECut0eP4UePwC3rS+gPmA5PjWGE1JjumXdcLPWcurCnY2v05L3/h0PHZDY5rEuV/NLiG76xhSydlUAMLmb/q562rknj2x8fvFpo0O/QPWm0M8pIiIiIiLN6HyczseJSPdxHXiIyKFtyh9uIfe9L6jcsiPcUUQOCQW7yugT7hDSK2RcPIMI55Zwxzi0FWzG1ldjImOx3jpY9Qq2vgIT3xcS+kFCX4jvi3G3fjfSzrLWgt8Dnhrw1oC1EJuKcbd+UtoWZ2I3fgg1JZjUERAVB84IcEaCOxIyxmGiEkKeVURERERERERERLrGGAOn3YF96mqoLg53HJHDUlqcu8XtX5TU8qO1+TxxZP8W9w+MdvPstIHcNrKOz4uriXU5uLBfAknt7OQ0OMbNpPhI1lTWs6Ckhgv6tf09/uaqes5ZnNXYtez09Dgmxkc27n95+kAuXpbT+PoXGwq5e1zoC5iq/XuL7+r8Ad4pqOTlXRU4gD9P7Bv8vXYIum9rEVuqPY2vi0prgWDB2cRRaTzwz8V864KJpKfGNjnuy2U5ZOdXEBXppK7eT1SkiyvPGcdNV07h0WdXAjB1fEbPvZFudN0lkzlu2kCKSmuZNXVA6Beo3Y61foxxAhbYDdQDEfs9XHTfpZ224eEHAg3P3QTvR97amgGgEihtGBfV8OeeYxxATMM8IiIiIiIiInIoU6GZHPZc0VFMuPU7LLrhl+GOInLQGzpzAolZW2l+z0Q53Ay+aRaJ8ZvRfS+6mQ1A0U5sdAz2nZ9DWfDErN1/WGwaDDgSM+BI8FRBIACxqTBwKia+/Sdv7favsCueg9IsqK+EgL/5mMg4iEuHjLGY0afAwCMxxoHdvQX7/PWN6fbPCIBxYtNGBAvkkgdjUodByrDgc6dOWomIiIiIiIiIiISTiU6A6ZdjP3sk3FFEDivbimr5zgtb+GJ7RZPtg6NcZNUFO4yV+5p/X7+/yYlRTG7o8lXjC7C8tJYNVfVk1njYVefjmsFJHJ3ccpevmcnRrKmsZ0lZbZuFZr6A5bJlOWyr8ZIe4eRHw1P5yYjUJkVd5/dL4LYRqdy/LVi0+oetRd1SaBa3T3euJ7PLeCa7HICbh6VwRELob9DXW/xhS1GL24tKa3lt3hZem7eFX/z5Cy6YO4offWs6+UXVPPivpXy1MrfJ+BWvfYuxI1JZsHxvUeB9jy/i5b+ej7udRYq9QXWNh7v/vpDS8jpuvPxIpjQUy40ZnsqY7lrUesBbAhHxQCZQ28pAA0QD8QSLurwN2yIatnXk3JgF8oBywEOwwKwljoZ5o4BEIJm9l47lECyKO5CohoyRDfmjGh7dWTgnIiIiIiIiIj1JhWYiwLCrzmXlnX+ivqg03FFEDlrDjplA3Ia1BHy+cEeRXqBkWQWJJzjBqOyw28WnYpc901hk1qLqItg8H7t5frNdNnkIDJ6OGXQUDJzSavczm7cG+96vg13M2lJfFXwUZ2LXvwvpY2HMKWAcmDPvwq54HvLXtXys9cPuzcEH+xSjOZzYpEGQMgyTNgIyxkL6WExUfNtZREREREREREREJLSOOBcWPw11leFOInJYqKjzcc6/1rNpd/NClT1FZgb41eg+LR7/+q4K/rC1iMJ6HxW+ALV+iydgW7wZ3BNZZTw9pT9XDkxqtu+IhgK1tRX1beZ9M7+SNZX1pLidrJgzgr5RLV+Scs/4jMZCs+4S7XTQP8pFXp2P+bur2VEb7LB2x6i0bl033M7OiOf5vL1FiQ4D0yb2ZeaRA+iTEs3bn2xjyepdvPjeJl58b1Or84wZngIEj93jrU+2kZ1fyfBBSd2WP9Sefn0dr364meEDk5h2wVPc9aPZ/OKmWY376+p9XPqjN3j7k204nYak+Ch2Lfg+rn0KFTvFlQAU0HqRGQTPhNU0PFoSRbDgLAGIo/VLvCyQBbRcZNhUgGB3tXqCRWnZwJ6/4z1FZ8UEi9VaU9fw2J+zIXN0wyOm4dHFz1JEREREREREepwKzUQIdjUb/b0rWPO7R8MdReSgNHDaGOI3rcOqyEwaVC1ZS27GTAaM397kLpUSYsaJjU6AbZ91fo7SnVC6E7vqFXBGYAcfhRl+LAw7FhOd1DjMrn3jwEVmLSnciC3cGHx+5CWY038N2cugqggS+2N3rYM1r7U9R8APJTugZAd26yd7M6WPwYw5FUafjIlJ7ng2ERERERERERER6RATEYM98iJY9GS4o4gc8qy1nPfvlovM9kh1O/nrpL5M3K9D17YqDxcty2ZtZduFYQ4g0mHwWovPwrdW5hHhMFzcP7HJuEnxwfnXHWC+R3aUAHDDkORWi8we3FbEwpLWCmtCa2piFHl1VSws3fsZ3rKugKemDuiR9cPhv9MGUu7byXuF1QBcd8lk/vG70xr3/+KmWaxcX8C0C55qduyR49L5ekMhAB98sZ1JY/ow9fwnm4wZNjCx2XG92RfLstmyo5QtO4I3Hf7Vw1/y028fRXRUsFvYnX/6nLc/2QaA328pLqvlN39dwN0/Oa7zizpiMA43UNLF9HsKuvZ0GYsj2IUskWBB155zsH7aV2TWEgvsani+CxhDsOCsjOBvCBdQ1c75/UB1w2NfcQ1zJtOxLm0iIiIiIiIiEi4qNBNpMOamK1l33xMEPN5wRxE5qCQP6UtqTqZ+dqSZkrcWEZl2HH0ytoQ7yqErPg2T8zW2ruLAY9vD74HtC7DbFwAG228iZtSJMOZUzJCjsZvmdW3+NW9gv34pJFEBKNyELdwEXz6KHXo05vTfYFyRoZtfREREREREREREmjFTLsIuex58LXUzEZFQWZpdxeeZrX//v2D2UI5Ojmmyrc4X4NpVebycV9HYtSwj0sn0pGgGRbkZHONmdGwEY+IiGBUbgcsR7DSUU+thwifbqPZbrlieS7TDwVl94xvnHR8f/O49q9ZLlS9AXEO3J2stL+ZV8FVJDZEOw2fFNTgN3Di0+c3hanwBhs7fTIk30GT7hf3im40NlT9N6EvA5rOotKZx3S/+n727Do+rTPs4/j2jmejEmzRJm7qXeimlFCjuUJYFlkV2gWXRxZ1dduHFYZHF3d21LbSl7u5ppHHXyWTknPePSSeZZqJNMpH7c125mOP3TCZJmef8nrv00BBM3/P1tGSmLE1na1Udr3yymdHDornx0qne7fc+/bv3cWJcKLmF1QD86cyx3qDZqVd+1uS8r/7nZBRFobzSjkGvIzTE1MXP5PBomsbv67IBuPZPk3nhvQ1EhJkJMntulZp//Vd88cueJse9/eXWwwuaGSPxdAtzd/wcflXXf+UAJjyBsyggBE+Yq7oTrrEH/PY8PBwH6z6Ap0NbKhI4E0IIIYQQQgghejbpTy5EPcuAWGKPmhzoMoTodQYPjUOt6Z5ZB0Xvk/fWMiqrBwe6jL4rYgDa4XQza5EGeVvRlj6L9sa5aGVZh3/KjnREawvNDekrYNfPnkXVheao6pprCSGEEEIIIYQQQgjRzynBVhg0tdX9hBCH54ed/rsh6fCEsw4NmT2TVkLMz7v5tD5kZtYpPDomjpwTR/L19BSen5DA7cNiODshnNFhQd6QGUCSxcSWuUOx6BQ04Jy1B8iubfhMP8qkJ9Lo2T/D5lmvahp/35LHxRtyeCGjjKf2e+o9a0AYyZaGEEmmzcHIRXsJ/3FXk5AZwBd5Xfd5/pAQE9/MSGFShKcjmw54eHRcl12vp9DpdKyek0pifaDqHw//ytcLPRND/rR0Pz8u3e/d98OnzyA02PP9uvXR3/yez2TUsf2Hv/CX8yfw4Xc7iJr2LMf9+aMufhaHb8OOAnIKPOGriipPODolIRxFUTiQV+k3ZAaQU1BN6MSnKC1vvptgi4yRHH43s9Y48HQ62w1sByyddN7ODpkdqootWxajKAqKonDeuWfz32eeoba2g6+1EEIIIYQQQgghuoR0NBOiEUdJeaBLEKJ3UUDdvjPQVYieTNPIenMLQ/82HIuxINDV9D3h8VBT3PXXcTs8Qa6IgVCR0/XX6yi3C23vR7D3Y9BUNEscRI2F1DNRIoYEujohhBBCCNGP6BTQKV19c1bfpVMCXYEQQgghWlVbHugKhOjzPthQ4rO8enYq4yPMaBqY9Q0hsRUlNVy4IYccuwsABTgvIYy3jhhIkKHtcw8PCjax8uhUjliyHxXYV+MkydLQsSrBbKTMWUdenYtxwEN7i3k1qxwd8OekCN7KrgDwhroAyh0uxv6Whl1t+P8jBd8oi+O0UW2usaOqXJ6AW7Bexx8HWrv8ej2BSadj09whDF24jyq3yjnXfkm0NYiS8oZulPsXXc3gpAiu//MUnnx9DQ4/QUAAh1PFbNRx7b8W8OIHGwFYty2/W55HR7lcKtPOfce7/N7XOwAYPDAcAKfL/3M9yGZ3MeLEVylec0P7L26MBJztP67D6gBXN17v8EyceKL38Rdffs0XX37N3h2/8vyzj4B5BChyK5sQQgghhGgbGY87PDIeJ4RoiXQ0E6Je5qc/UrZld6DLEKJXCU+IlW5molVqjY2Mj/JxqmGBLqXviYiHuuruuZbDBraunn3xMFhT0JJGwp6PQKsfHKwthJzfYNk/0DY+hVZbFNgahRBCCCGEEEIIIYToA7S9SyB3W6DLEKJP0zSNnMo67/L4MDNTIi2YdDpvyMzuUjltVSZzVmR6Q2Zjw8zsOHYoH01NblfI7KBce0M4ZlaUb4ckU/0daDaXSnGdi0f3eibCe2ViIsfEhHj3uzw50vt4wpL9PiGzCxPDMR1yI5tO17W3reTbXaypD1fZ1ZbDRX1NlMnAmjmp3te8cchs7ed/ZnBSBAAP/WMOZxw3DIBRqVFkL70G+9ZbmHlEonf/aee96w2ZAVx1wcRueAb+/bAkjXueXkp2fvPd8Ox1TYNX0VYLV8yfAMCQZCtbvr2c6y6ZjDXczLgRMZSvv5Fxw6O9+5dW2HG1EkjzyxBF9we/6lrfpQd4772f/a6vtZWDbS2UfwH2naC5u7cwIYQQQgghhBBC+JBpYES/5qisxhgWQuXu/ay44u5AlyNEr2Ov7KaAi+j1nDkFZP4UwZCTDeh0vWdGvR4vLA52Z3TPtSpzu+c6HaSMPQ0O/ILvPKiN5C6BgtVoIy+GwaehKPpurU8IIYQQQgghhBBCiN5Mq6tGMYeiFe5D++E/gS5HiH6i4fPu8xPDfbZ8m1/FnzZkU+P27BNh0PHyxATmJ0Yc1hUXF3smmLToFEyNAmDrymvZVGlHB0yxWng/pwK7qjEpPIhLkyOYuyIDgIFBBoJ1MObXfeypcXiPPyk2hO9nDgJg4c+7KXJ4QiTVp3R9N7Pn0xsm0TsmOrjLr9fTDA8188uRgzh3bTalTjcjBkfy+4cXExvl+1rU1ocVbXUusvKqSIwPY/aUJFZt8owPlVXaffafNCa+e57AIf79wgoeeHYZAP/30ipWfXoJ0ycktOnY3GV/x2hsGB8aNyKWZ++dx7P3zvOu2/LdX9iTXsrrn20hMS4UQwcCmxitQG37jzssvWNy2A0bMvyu/7/7zvc80GrBtgbsuyFkBhjb9r0VQgghhBBCCCFE55KOZqJfqsnOZ9klt/FJ5DS+GX0KP826EFd17/jgTYiexFFdi2GgfLgr2sa2ZQ/ZGwegadKuutOERoKzuweqeiiLFRwVLe/jtsOO12Hl3Wgu+bsvhBBCCCGEEEIIIURrtOzNqB9fj/b8KajvXI728bXgsrd+oBDisCiKwuzBDeGyovruTAe7mJ2z9oA3ZPaXFCtFJ4047JAZwPoKz5hDvNl3zuJ/7ykC4MKBESRZjHyQ7fk8/i+DrCiKwvb67mtzo0N4PK3UJ2QWZdR5Q2YAcxoFnBzd0GHsu4KGrlfrK+yo/ayrGcDs6BB+PjKFUL2OPRll3Pzwr6iq73jdWfOGA5CVW8msC97j1U8288Tra7zbxwyL9tn/xKMGd3ndh/ptVaY3ZHZQdaP3WmOK0nTdZz/vbvH8a7bkkXrcS3zy4y4evnkON146tQNV6sAS04Hj+ofIyMgm615/9griYn3DtKgVUPUL1KwEGVsWQgghhBBCCCG6nQTNRL+06d5nSH/vGzRVpXJ3Oo6yVm5MF0I0y52SEugSRC9SvmAdhQeGB7qMviFlErhqAl1Fz6HTg87Utn3LdsHSG9G2vYSWvxLNKd0ZhRBCCCGEEEIIIYQ4lOZyoH1zL2Rv8qwo2gcOmcBJiO4SE2r0Pl5QXMOCwirif9nNz0WesYFYk57Vs1N5eWIiOl3n3Pqxrz60MzzU9/P2Xwo9n6NfNySK7FonGyo8gdOzBoQBUOnyhLfmxYawsqzh98QrExPIP3GEz7ky7U7v4xG/7uvyCQp/aRRyK3eqWH7YRVq1/3BSXzYpwsInU5MwKPD+tzu45+mlPtuv/MNEln14MYMGegI/V9/3s8/2HftKvI9f+8/JpCZbvcvdNcnkk2+sbbJu5hGJfvdV/CTNvv8trdlzO51uZp7/Lpk5ldz/32UkzXmxY0VGTEXRuzt2bD9QfcgE0F++cx1XXDyn+QPq9kDlt1CzFhxZoNZ1cYVCCCGEEEIIIYQACZqJfir+mGlEHjE60GUI0QdoGEpLWt9NiEYKPlhGeeXQQJfRu+n0MHo2rH4j0JX0GFpYLBRtaPsBtYWQ+SOsfwR++RPa7zd7gmfZv6FVZqC5na2fQwghhBBCCCGEEEKIvsxphyPOgZCoQFciRL9kdzZ03sqpdXL6at8uZjknDGdKpKVTr1lQ5wnITI3wPW+yxRN621xh59uCKjRgVqSFhCAj2bUODlY6zWphcYknSHJkpIUrUiKbhOC+m94wiWWxU+X+XYWd+hwOFRdk4M5hDR2m3BqMX7yPr/Mru/S6PdGJcaG8PNETzHr0ldX87/2NPttnTR7II7ce410+/shB+HPV/T9hq3WSX1TN6Vd9hn7U4/z7hRVdV3i9E/x0UQs6pPte4/Vjh/t2Fps1OanZc7/91Taf5YLiGvKL2jlRoSECYmcC+e07rp/Yvz+b115737v80D3ncfZpbega5y6Duh1Q/RuUfwQV30DNCrDvBlcRqP0vOCqEEEIIIYQQQnQ1/5+4CNHHDbv8PIb8+Wz2vPgha6//d6DLEaKX0hg3bwrOVasDXYjohQ68sQ7T38cSbMoNdCm9U8IwWPlSoKvoOSZfhFK9A9SOhsM0qEzzfGX+6Fml6NCCYsAcCSEJMPQ8lDDp4CiEEEIIIYQQQggh+g/FEo4y6wq0qX9EW/4abPg00CUJ0S/kVNRx1/dZfLWtYbLHqvqAmUmB349K7fSAGcCuKjt21XOd42JCfLb9fXAUt+4o4LF9xaQGe7qdnRbv6Wa2uNgTLFOA2cvTvcdMjQjyex3DIY2m3s2u4N+j4zvjKTTr3uExrCm3kWd3sbPagUODSzfkUn5qeJdetye6NNlKdq2TB3YXcf2/F5AYH8rZ84Z7t19w6mgS40KJtloYPTQay/gncTQKPQKoKoQe8bTPugeeXcZ9187q1FoP5FWyO72U42YOYl9mGYvXZBEfHYw1PIgLTx/N3X87Ep2uaeey0vJawkPNbPjyUrLzqygpryUyIoihKZF+r6NpGlfd69vBLT4mhLjoEL/7Nyt+NopOQmbNmTbtMkpLywEYmhrH3Tef0bETucs8X+xtWKcEgc7i+a8xEYJGg6I/7JqFEEIIIYQQQoj+SjqaiX5Lp9cz6ro/ETZUbhoXor3ix6QyecYwFAmZiQ7S7HVkvJuBwx0R6FJ6J0s7B7b6ssSJMOV8yPi+c8+rqZ6uZ+W7IWcxLL8VLW9l515DCCGEEEIIIYQQQoheQDEFoxx9NeiNgS5FiD5NVTU+3VTMtGe28v6GgibbFeCHmYO6JGT2W1ENk5bsByBMr3BUtO81rhwUSbxZz36bk0XFNQCcnVAfNCvxLBsUKG8USHpyrP/w2OSl+32Ws+0urtiY0zlPpBlBBh2/HDmYrccO47z6up2a1qXX7MnuHh7DlSlWNA0uuvlbVmzwff2PnprMmGExKIpCtNXzXjhx9mBcO2/jrUdP7ZYaf12ZyaC5L3Hi5Z8QPOEp7nl6KV8v3EdBiY3d6aVcc9ERGAxNb3l68YONxMx4DtPYJ3A43aQmW5k6PqHZkBngtxvb5DHxfkNsLTL3v+BiW9jtdcyd+3dvyAwgLb2Qmpq6zruIZveEz1x5ULseKn8Etabzzi+EEEIIIYQQQvQzEjQT/V7MzImBLkGIXmXM8ZOJy9qDc/uuQJciejlXUSkZ3zpxa6ZAl9K7mIOhrjTQVfQck89DWfMvcFZ37XXcdbDhMbTsxV17HSGEEEII0Sco8nXYX0IIIYToWRSDGeJHBboMIfosl1sj8t6V/PG9XRRU2f3u89z4AcyN6fyJ6F7LLOXEVZk4NdAr8M7kJEw631tJQgw6bh0a412ONel5OaOM89Zk8daBCgCmNOpgNirUhE7X9HaUb/OryKp1NVmfWevsrKfTKld9wKxO1bhucy7PpJXwwK5CMm2Obqsh0BRF4bnxCZweH4q9zsWZf/uc3ftL/O576bnjAQixGNHpFC4+YwxzpiVhMnZtt6iLb/3O+9jhdLN7v+/Y2KOv+J8Q9dp/LfA+Dpv0DBnZFS1ep7zSzj+fW47S6H9EjUYd5500osXjcgqqeP3TLVz7rwVccOPX/L5dA33/DS+2xGI5iiVL1jRZ/8PCzV13UXeJJ2zmbvn7L4QQQggherdAj2X1hS8hhGiOIdAFCBFoMTOPIP39bwNdhhC9QkisFePWLait7ypEm9h37edA/CQGzcxFUeR/XdokZTQUbAl0FT1D8gSUnf8Fzd1NF1Rh8zNoxlCU+KnddE0hhBBCCCGEEEIIIXqIgRMgd2ugqxCiT7rtu3SqHc2PwP1tUCR/GxzV6de9fXs+T9UHeIL1CsuOSmVCo8BYY1ekWLl3ZwF1GhQ53Dyb3hD80QGZjQJko0PNTY5fUVLDOWsPNFmvAz6fmnR4T6QdZkUF83W+Z/K6l7LKvesf2ltMhEGH1ajH5lZJDTYyKyqYcIOOu4fHYPATnOvNDDqF9ycnMW9lBmvL7Zzy189Y8fHFDIgN9dnviFFxAPy+Lhu3W0Wv17H4vYtwu1VMY5+gKxrDrd+WT0FxQzeqwQMjePFfJ3L0RR94140bEdumc11+1w/89u6FzW6/9PbvAbzP45hpySx8+wL0+ua/35qmMWP+u+QWNkyC+OlPj7Nz5wxGjRrcproEHDl1WNdeQK3xhM0izgBd54d0hRBCCCGEEEKIvqxvfRImRAfEzJgQ6BKE6DXiRySj2moDXYboYyqXbKQgo/0DCZqh6SBl/yBRT3RGGD4FDFndGDI7SIMt/0WrLerm6wohhBBCCCGEEEIIEVhK4rhAlyBEn/Xr3vJmt50aF8rzExI69XqqqnL2mixvyCzepGffccObDZkBRBj1nJsQDsDEcDO3DY1igNkzt7EK5NU1BM3uGh7tc+zOKjvHrsxscs5JEWY+mpKE1dR9cyTfMjSGP9Q/D/DcNGOsnwuxwqWSWeukyOFmTbmdZ/aX8uCeYk5eldVt9XWnEIOOr6enMDTYSEZOBadf/Tl5hVX8tiqTLbsK0TSNnMIqACqrGzq+Vdc4OOPqz7skZAYQE2nxWX7izmM5akoSyz+6mIVvXYC6+3Yuq++0dqiEWN9A0cYdBS1eq6Tct4PgNRdNajFkdpBbbTpeN3r0fK644l+tHttvaHqotfmsGj0iAZNRz5HThpI0sPPDs01rqIOq30Br2klRCCGEEEIIIYQQzZOOZqLfs44bEegShOg17NV2ZK4v0RUKP16O+W9HEWlNa3VfTadnVdogFr6xlvHHjeCEM6MJqdrTDVX2EEW5EJ4IQRFQuDPQ1QSAAsNHoTjTAte/21EJ6x5GO/IhFENwgIoQQgghhBBCCCGEEKKbxXVx5xEh+rGhMUFsy/cNZLwzKZGLkqydfi2HqjJjaTpbq+oAGB9mZvWcVExt6Nh1fGwoH+ZWEmHUc0p8GI+nlfrdb/rvGUQadVyZEsmVgyIZv3h/k30sOoW1c4Ye3pPpgA+yy1lZ1vBaHxcTzE9HDuaXwioe3ltMjt3FmDAze6od7K3xhKsWl9i4aWsez4zv3MBfTxBnNvD9zEEcvSydDdsLGHj0i373czjdGMc8gV6noCjgcjdNme3NKGV4J3TeGzQwAnX37Sxbl41bVTlmegoAR04a2OqxOcuu5ck31vDNon3ERFo4e17L94N88NQZTD7nLUrrA2cnz0lt9RqKohAabKIAW5Ntb775LddcM59p08a2ep4+TdNDRRqo1dQceJkNWzKZPdPzvdi3v4CUpOhWTtCJ3CVQvRRC54Ii87ELIYQQQgghhBBtIUEz0e/ZsvMDXYIQvYatrJJu/MhX9DPZr6+h8rSZ5Dg0KmurGTcjhqjwOlRNh6rpcKsKblVh3dIS1n6zFoCti/ZQUZjApRcEuPjuVF4A5YA1PtCVBMagiSjOjEBXAZX7Yf0jaNPuQ9EZA12NEEIIIYQQQgghhBBdr7LlrjBCiI4bGx/C19tKmWYNYuXRQ7rsOsV1LiYuTqPA4Qbg9PhQvpiahK4NITOAkaEmADJsTlaV1fpsm2ENok7V2FTpCbCVOVUeSyvhsbQS7z5PjInni7xKVpTVUqtqvJxRytWdEExqq79vyeWVzHKfdYrimdXuxLgwTowL89mmqipjF+9nb42DNw+Uc/fwWOKC+t5tNsNCTHw9PYVZy9Jb3detegJmCnCyKYifHXYO9vbasKOgU4JmB82emtSh4265Yjq3XDG9TfumJIaz5L2LuOvJJdx8+TTCQ81tOm74oEjSssr9brvmmkdYt+7dtpbbN9VWgFoNQHCw2RsyAxg2JABjnM4DULMMQmZL2EwIIYQQQgghhGiDvvcJmBDtlPPDkkCXIESvUVVQCpKnEF1Eczqp+Op3wswm1rhDWfvt9jYdl7U1j6q/HEVY9a4urrCHiEyEECMExUCh/5lC+yy9EUwV4A50IfWKN8Pm59COuAlFBqWEEEIIIYQQQgghRB+n7VsW6BKE6LN+2On5vH9uTEiXXufarXnekNnNQ6J4bOyADp1HAYodvh/WL68PyG2rtDN16X5chzS8ijXpuWloNMtLG7pA3bWzsFuCZq9llnL91nyc9TVZDTpizQZC9ArvttAlS6fT8d9x8Zy6+gA1bo0Ji9PIP3lkl9cbCNMjLdw/IoZn00spd3qiY8eZzZSpKjWaxj6Xi3BF4fQgC5WaxtUhYYw3eYKHj1RW8L+aKi78x7e89OEmfnv3wkA+lXYbOzyGb146r13HxERamt1mt9cdbkm9m2oCe0agq/B67d0l/LhwC4/cfz7Dxxgg+EioD5gKIYQQQgghhBDCPwmaiX7PUVYZ6BKE6DXcdU4MgwbgypVOgKLraHUOJk4bxrLfNrb5mP/evIJrHj+a6Nq2hdN6tegEKNwClbmBrqT7DR2P4tof6Cp85S4BNLQJ16Ho2zbLpRBCCCGEEEIIIYQQvZJdxtSE6CoGnSf0kF7j7NLrjAgxA1UYFbwhsx2Vdv64PpvMWidDgk18MGUgo8OCAFA1ja2Vdawus3Hjtoaglg54P7vc7zXGhQdhP30M4OmgtrWyjsQgAyPDPJ+hPzw6jm/yq3ADlS6VRUXVHB8b2oXPGu7dWeStfXaUhV+OHISpjV3c6tTGj7Xmd+wD7h8Zx53DYwj+3jO5Y7Ci462Y2FaP+0tIKC/VVKECS9YcYPCxL3Hh6aP59MddlFXW8Y/LpnLv32d59y8qtZGVW8nbX23jDyePZOueYi44dRRR1ubDWz3NPdccydqt+exOb5gUcvPmD9mzJ5O5c6cGsLIA0wxQuSfQVeB2qxjirgBg/Jgkjpk1km9+2sgtQweA5oKQI0GRGXaFEEIIIYQQQojmSOsF0e8pBn2gSxCid0lODnQFoh+Is1e3a39N1fjhvR4WQOoq7ppAVxAYqZN7XsjsoNylsPw2tOqcQFcihBBCCCF6CEWRr8P9EkIIIUQP1MZQhhCi/e47MQWAz/IqSatxdNl1rh5sBcCpwdKSGlRVZeaydHZUO6hxa2ytqmPi4v38VlTD8lIbRyzez5Sl+/l7o25gAOm1TgrqGjqabZgzxO/1YswGjo0N8YbMAIaHmqk7Y4x3+eL1ORTaXZ37ROu9lVVOxA87KXZ6aj0vIYzFR6W2OWQGcPfOAu/j9yc33/2srzDpdN4biTa72/Z9idXr2RafyMz6DmdZuZU8+spq9h+ooKzCzv3/XcbOtBLcbpUb/7OI+COfZ9p57/D8uxuYc/GHXPuvBRx5wXvYars2aNmZRg6JZu3nf+bPZ48F4C9/OYsJE4Yzf/48YmKsgS0uUDQFqrNBbd84b1e4/o73vI+37sjm+dcWMWp4omeFIx0qvgVXcYCqE0IIIYQQnSXQY1l94UsIIZojowGi3zNHRQS6BCF6FZu79X2EOFzu7buIjLW265iMjdm4Qwd0TUHdKSgUaOb/4uKHQE1Rt5bTI4REg3Ig0FW0rCoTlt+Clrc80JUIIYQQQgghhBBCCNE1gmRMTYjOtDqzint+yEB/6zLOemMH4BkdCNJ13Z1eSRYT4QbPbSKvZZaTbnNhc3sSZH9MDMekgAr8Yf0BTlmVyY7qOkL1OhKDDH7P94fEcHJPHMGEiKB21XHA1hCmK3a6OWFVZseeUAtUVeW6rXnUuBsScimW9ncwOiWuodva37fmUVzXNaG4nuTshDAADjidfFPbtgkQQ3U6PomOa3b75LPf4v1vtvPcu+v9bt+bUcbqzbntL7Y76IJAZ26yOjTExFuPn8PeTe/w4ot3BaCwHsapgjPw4S2Hw8Xr7y9tsv70C59uWFCroPIHqN0KmtpkXyGEEEIIIYQQor/z/2mgEP2IKVIGxYRoD01rfR8hDpuqMmbMYJYv2dSuwxS162b57HJBoZA8Eop3QngUhMaDovN8AThqoDwrsDUGStRAFHrBc3fVwobH0AbOheF/RAlJCHRFQgghhBBCCCGEEEJ0GsUSjgwRCNE59hXXMuu5zU3WW4x6BnYgDNUeU61B/FpsY3FJDTe5orzr35iUyKXJEZyy+gBlTk/wYnZUMF9NTyZYr2PQgj0UOdzcPyKWa1MjiTZ1/HaThCADEQYdFa6uC3gMWrgPu+r5rXVUlIURIWYeHd18EKo5j4yOY2OFnd9KbGTbXaQs2MM7kwcyP7Hv3mfw0eSBmL7fBcB15WWcaQlp03GOFgaS6xxuBidZOeGowSxYntFk+7BBVqZP6GHjKrogGHAchIQDGqg6z2C5Bhz8i2hQGKZIUAkAe16gKwCgxlaHw9E0EJoQbz1kjQa1G8B5ACwTwZAoLR2EEEIIIYQQQoh60tFM9HvmaGugSxCiV9Eb5E+H6B419vaFxvRGPbra8q4ppqsNmwyhBijYAm4n2CuheC8U7YbCnZ6v/hoyAzB17aB6p8tZDEv+jrbuYbSKtEBXI4QQQgghhBBCCCFE57BYA12BEL2K3amSW1EHgMvtG8B5ZWW+32Oig0xdXtcfB3oCUnl2F4ODjByMVVy/NZ8T4sLQN8pZ3DMiBqtRj0mncNfwGAAe3FNEicN9WDUYdDpKThlFaP3Fki2dO0eyqqrkN+o8NirUzKtHJKLTtX+cU6fTsWDWYB4eHYcOcGhw0fqcPt3ZbFlZbYeOK3b7f1/odQp/v+gIjp6axM9v/IGt311B8CFd8k44KpWQ4K5//7dZwkkw9ByU0FAURUVRNBS9G8WgohhVFKPm+ZKQmYcGuMoCXQUAkdYQHv/XBT7rdq36P3J3POP/AFcRVC2Eym+hdrvMvCuEEEIIIYQQQiBBMyGwJLZ/1jIh+jPJmYnuoJs0gU2rt7frmIThcaD1wsGcYZOhcKunY5nwT98Lv6+aCgWrYdW9aKU7A12NEEIIIYQQQgghhBCHLzQ20BUI0Wv8tq+ckLtWkPzvtehvXYb5juXob12G/tZlnPzKNp5emuP3uDhz10+89qekCBQ8uZAvCio5NiYYgNezyon5aReNM3GDG3VXu2FINGNCzQDsrKrrlFqOifF0ylpbZu+U8x2k0+m4ZnCkd/n1rHImLk4j9PudmL7dwc3b2t956fZhMWw/dih6QAXu3FnYeQX3MMetyPQ+vi4krM3HvV/rf6zLrWosWpnJbY/+xqufbGbs8BievW+ezz4TRvagvzFJZ6CERaAohxeo7F+M0IP6nt563SlsXvpv7rn5DDYvfZCRw9vQLc9dBrXroGZZ7xxzFkIIIYQQQgghOpHEBUS/FzYkGcXQuTOkCdGX6eVDVdHFdOFh/L63EFBa3bex+CGRre/U0wwYCkXtC9T1T85AF9BxLhus+SdaydZAVyKEEEIIIYQQQgghxOGJHhzoCoTo0QqrHFz7+T70ty5j3kvbmt1vwZ5y1EPyGNOSQwHYV9H1k9KZdDoS67tJfZRTyXczUkgwe5bLnSp6BYz1QzRryn07W7nrO/1EmvSdUktqfZCtxOnmpq3tD3+15NnxCWyfO9R7U8z2qjrsqoYKPJdexm9F7X+th4eamWoNAuCtA+XYXV0/bjrgp90Yvt3BtKVpXX4tu0sl9qdd3uVZJjO3h0e0+fj9rua7vO1OL+OpN9dx9X0/U2t3csX8CVSsv5EHrj+Kv188icvPHX9YtXea6BkowZZAV9H7aO0b1+0OE8Ymc9Ypk1i5No1NWzL512Nf8ePCLa0f6NgP1b+C1ovHJ4UQQgghhBBCiMMkQTPR7xmCLURPHRfoMoToNXRO+UBVdB1dWCg7Y5Mozi9p97EDUsK7oKIuFhYuM+K1Sc+ZAbFD3HZY8yBa0YZAVyKEEEIIIYQQQgghRIcpYbEQmRzoMoToka78ZC8J/1rDSyvzm2wbGGFq9jiLUcf5E6M5frgVAIe7e8YM5kZ7OoltqLBj0unInDeM149I5NS4UK4dHMltw2IA+PuWPO7eWcDmCjuaplHm9HR4sho7J2h2fWq096aV5zPKsHVycGtkmJl1c4ZwfqLvGJIGXLg+u0PnjDc3TGI74JfdFNqbD1e1Jq3awbZKO9m1Dlyq73NXVZW5y9Mprn/NN1bUsaKka4KIqqoS99MuQn/cRZnTU0e8TsdH0e3rMva9vbb1nYCz//4lcTOfY+3WfB647iiev/8ETJ0UXjxs1iGBrkB0oryCCm574GMmHfsA/3z0K0694CnWbtjf+oHOHKj8BdTO7bYohBBCCCGEEEL0FtLGSQggcsJIildtCnQZQvQO1dWBrkD0UcrUSazJKCFn874OHR8db+7kirpBzn6IGgiVOYGuRHQ11QHrHkKbfDtK/IxAVyOEEEIIIYQQQgghRMfEDoeyA4GuQogeo9Lu4pIP9vDdjtIm2y6dGscbfxzRpvNc/J6ni5RJ1z1dga4cZOX9nAoqXSq5dieJQUYuTbZyabIVAJtLZVVZLb8W1/DYvhIe21fChHAzNrdnYjhzJ9U5NNTE1rlDGbvY060r5qddPDomnuuHRDd7jN2lsqfGwYSIoDZdY0JEEB9OSSLXns7K0lrOTwzn49xKip1urtiYwxuTBrar5nuGx7Kj2sG+GgfVbo1Zy9JZdXQqMeb23X7zakYp12xtGkxsyZwVmRgVCNbriDHpsRr1RBh1jAszs7TExqQIC68ekdjm820or2Xuigzv9/WgMEVhdeyAdtUGEKEoVGi+55oyNp712wt81i1YngHAdQ8u5J3HTmXq+IR2X6vLZP+KlnI8itLxAKHoOc48ZRJV1b5hseknPIhW8lbrB7uLofInCJsH+tCuKVAIIYQQQgghhOihpKOZEEDEaJmVSoi20XDnFbS+mxBtpAsPwz1zOluShvHV4m3kZOR1+FzWCHcnVtZNbBVg6IWd2Lqbu22DxT2e6oL1j6KVbAt0JUIIIYQQoqspoMhXh7/onntrhRBCCNEBSkxqoEsQIuAcLpWHFx5Af+syIu9d1SRkdvWRA3A+dlSbQ2YAiuL5R3BNN3U0+zin0vvYpDT9B3iwQcdPM1P4eEoSZw0Iw6xT2FJZR3UX1DcyzMwx0cEAODT4x/YCRi7ay9oyGwBry2xctyWPp9NKuH5LHtafdjF56X5u2tq+MaUlR6XiOGMM705KxFIflPswp6Ld9U6JtLDruGHcN8LT9S2j1smghXvJb2dns0/zKlvfqV6IvuF75NSgwqWSZnOyvsLOr8U2nk0vY1NlHW8eKGfsr22f0HH67+lNQmaTjCa2DxiITte+24nSXc4mIbOkAaFNQmaN7dpfwvT57/LyR5vadS1/MnMq2JdZdtjnoa4AqtoXABSA4gJd75kUtKSkyme5qqqWfz/xNQWFFWiN38dqBVT9BGrbuvUJIYQQQohu1gPGtHrzV18ej1MUxaooSpmiKJ8GuhYheisJmgkBmGOjAl2CEL1CeGIcamVV6zsK0UaVY8bw3cKNpO/KPKzzxKVGE17bsU5oAZe1HUwhga6iZ8veg4Y+0FV0Ds0NGx9Hc3q6Q2q2Qu9jIYQQQgghhBBCCCF6vODIQFcgREDtyLdhuXMF9/3kf1xj222T+d95w9C1s+PXor3lACRbjIdbYqvSqh28VB/IOT4muNlOXDpF4bzEcD6flkz2CSO8YbCusGjWYObFNJw/zebk/HXZ7KyyM2tZBi9llnHbjgJezCzDVZ8BWVpq69C1dDodD4+OA/CeqyMeGBnH/SNiUIA6VeOB3YXtOr6gzjOBog54Z1LzXcjsp42i4tTRvHVEIkdFWRgeYiIpyEC0Ue/3nsDdNY42Xd/w7Q6fZR2QlZDE1zFxbXwGvs4qbvr8s/N9xz/CQkx+j33jsy0duuZB3y9OI/W4lxlx4qs8/96GwzoXAAW/o2lyO1W7KCqEtD1c252SBza9H+jyG173WX7v05V8/OUann7xZzKyin13VmugegkcDKC5q0Bt28+ZEEIIIYQQImBeBazA5K6+kKIoQxRFeVRRlPX14Tat/qusft2jiqJ0e0ecnlqX6D3kkxEhAGO4tLkXoi2iUjo2sCBEc5av3Nkp5znr6nEobmennKvb6fTgqgt0FT1bXRUYEgJdReepK4eM79BUJ/x+Iyy9Ea0yI9BVCSGEEEIIIYQQQgjROpk0S/Rz459oGmK59qgEah+Zhf3RWYyO71gYq7DaM8ZxZKTlsOprizPXZKEBJgU+n5bSpmNcmsbu6oZgxZ07Cng1s8y3889h+mFGCn9NsXqXs+0uxi/eT3NXmBLR8dfq5yJPACrCeHi3zNw/Mo6p1iAAvmxHhzJouFnHrFO4KMmK64wx3q/qU0bx/PgB2E4bhaG+s9ifkq0sOSqVnccNI+OEERScPBJno2PGhnW8m1RGfCIZCUkdPv7owjzK2/BeqPITghs+OJJf3rygw9fOyK7gwn98412+4d8LKauwd/h8AChGoHu6C/Yphq4PynaE2930vfntT5vYm9bQue7EY8fhdqssW72XAXERTU/iKgBnFqh2qPgKKr4GV1EXVi2EEEIIIYToKEVR5gHzu+E68xVFWQ+kAbcDpcArwPn1X6/Ur7sdSKsPd/XbukTvI0EzIQB9UMc/dBWiPwkNCwp0CaIPMQwZhL2m9rDOMWRKCrc9O50Brm2dVFUApIwB1RXoKno+rY/9rS5YA7YCcNnAXgxrH0TT3IGuSgghhBBCCCGEEEKIlhn8d6MRoj94bXW+z3LlQ0fifmI2z54zFJNBh1F/+LdfVB9Oi602+F96qbfj1eNj4wk1tK3m23YUkF/XMJbxbUE112zJw/jdTjJsndPZR6fT8dLERE6NazpJ7LAQE+MbBammWoN4ccKADl8rrcYT7HN1QpZoYrhn/LTUqXLx+mzy7a2P+awoqWFrlWcSwlFhTX+vBhl0/G1wFCZd299T704a6H38xL5i3sgq47jl6Ri+3cHlG3JQVRW7S2V9WS3vHij3OVbXjuscanR+Dpnu9o1vVG64kRNnDyYk2Mjnz51NRAdDcqqqcfGt31Jt852MMnr6sx06n1f8bJT2NSUUAPS8SUFdLje5+WV+t/36e8OEqENT49i05EGGDIrlrD/913+I1pEF7nJABc0GlQtA63nPWQghhBBCCMHLXXlyRVGsiqIsAD7F0zHtMyBS07QTNE27Q9O0z+q/7tA07QQgsn6fycCniqJ8qiiKtb/UJXovCZoJAWguucFfiLbozFkJRf+mBJnZqh5+cHHUjESCKtM6oaIAclYEuoKeT9EB/geBeq3KDHA0+t7bS6Bka8DKEUIIIYQQQgghhBCiTWSyJNGNNE3j620l3PldOvf9mMmStApU1f9Y1Q1f7kN/6zL0ty7j6k/3NNmeV+lgaVoFpTYnH24s4n/Lc9s17nXJB7u5+tN93uWTRkYSYta3/0n5UdUomJRR2zmhLX+qXSq37SgAYESIiWtTo1s95sL12Ri+3cF72Z7Ps+8bHtNkn2GL9rG6zNbmOrZU2NlUUUuu3X9A45sZKSyfPZgFMwdxSlwIL00YwK7jhrFx7lAM9eGfAWaDt9NXR/xxYDgA1W6VU1dldvg8AP8Y0vA6fpxbyZjf9rWwN6iqygmrsgDPDTtvHjGwxf3balyjwNqdOwu5anMeS0s9Ez6+m1OB6ftdhP64ixnL0rl8U26nXBOgpgPjx0ec9TZP3nksf5k/gefe28CN/1lETQcCiwfyKlm50f9zWbMlr93n81AgtOn7XLSB1vM6ml1+3WvNbtuT5hsevvPBT3n3kxUsWLwdXczl7M8o9D3AVXhIsMwJjozOK1YIIYQQQghx2BRFeRQY0oXnHwKsB+bVr7pa07TzNU0rb+4YTdPKNU07H7i6ftV8YH1nhrp6al2idzMEugAheoLC39cHugQheoW8/fl0zlCH6Ot0oSFUjRuH3aVhMeowaypuRaHapVFeaSMjLZeqbfsP+zq/vbcJ9wUTGDjYgqKDijI3er1CakIVxsoDnfBMuljcYKjIDnQVPV9EIoq7NNBVdC7NDdWHfO/LdkPMEQEpRwghhBBCCCGEEEKIttCyNga6BNGPvLQyn+u+aJhs7uFFB5iQEMwbfxzBpIENXa/cqsYLyxsCA6+tLuS11Z6AwPsXj+Ti93f7Pf/1X+5nZKyF+05M4cJJsc3W8ePOUj7YUORdHhxp5rNLR3X4eR3KbNBh1Cs43RpbKut4Mb2Ua1KjOu38B524MoM6VUMBvp2e0ur+dpfKp7mV3uUQvcIDo+J4YFQcdW6VE1ZmsqLME2Q6alkGNw2J4omxzXcZ21Bey4Xrs0k7pPvUDamRPDUuwWfdjMhgAI6NDQE84azH00o42PAt3XZ4XYQeGBnHylIbC4tt/FJUQ77dxYCgjt0+MzLMzEOjYnk5s4ysWheVLpX0GgepIf47QObYXdTVBya/mZHMuPDDn5gRDq8r2aC8bPbGJ7arg9pBUTodpWr7WsPtP1DO+NPf9FkXHmri3zcd3a7zpCSGM2NiAqs3Nw2VRYZ3rEsa0VNRFJmouEMcla3v083WbEhvdtsdN5zms/zuJyt8lodOuR2t5K2GFWo1aIcEIp0FYB5+uGUKIYQQQgghOkF92Or2Ljy/FVhAQ5Dtak3TXmnr8ZqmvaJ42me/XH+O9YqiTGkpDNab6xK9nwTNRL+naRoHvl4U6DKE6BVK9+cwaMxAXFk5gS5F9GTTJrN4WzZlCzd0+aVqK+38/Ooav9tGzkrl2HOSiXXsBK19A1zdJiIa7PLz1Cp7JX2yEa+r1nf50OCZEEIIIYQQQgghhBA9iOZ2QdqyQJch+pF//dy009SWPBvTn9nE6huPYHKSJ2ym1ynNnqO5kNlBu4tq+dP7u/l4UxFfXjaa+htrvJamVXD66zu8y/88MYV7T0hust/hMBl0LL9+AtOf2QzAA7sLOzVopqoqx63MZE25HYC/DYpkaKj/EFRjh2aOFBqes1mvY+nsVJ5PL+WmbZ6Q3zP7S5sNmtldKnOWZ2D305Hu2fQy4kwG7hzRfNjvum35vJJZXl8HPDU2vtX6W/PDjBSCf9iFS4Nz1max/KjB2FQI1rU/tHXH8FjuGB6L+bsduDU4cVUmq49OJcrU9JYcV6OXYE5UyOE+DQBKHS5OXOm/M5tFUahtpeuYBswpKmBVfEKL+/nzfmQMd1WWccDtJkJRqNQ0ilsIng0fbGVvRnmT9W9+vrXdQTNFUfju5fm8+/V23KrK3owyBidFMHtyEsMHd/BnKHRQx44ToGv990p3e/SB8znnz895l888eRJfvnu935/xqmp7k3UulxuDoVH3Su2QkKu7otNqFUIIIYQQQhy2l7v4/ItoCHO90p4w10H1oa4T8HQPGwJ8CpzQR+sSvZwEzUS/V7phOxU79gW6DCF6CQV1YBJI0Ez4oU+IZ2dINDt/2xroUgDYvSKd3SvSGTt3GGeeE4yhqge+b3vgzH49kr0SjVgUDm+G0h7HFOG7XLYrMHUIIYQQQohOpygaitLyjXyiefLaCSGEED1UxmqoLmp9PyE6SVGN/65CGuBwe4IsDpfK2gPV7Trv4EgzGWV1Puu+3V6K4bblxIUa+eiSUQyPCWLms5vJqWjoXmPQKdx2bFKnhswOmpIURrLVxIFyB6VOFVXT0HXCdVRV5ZgVmays7zx2clwIz01oW5jIpNNx85AontpfCsAREU07RF2XGsUPBVX8UlTD8TEhOFQNU33wz6Wq3L2zEJem8W1BtTdkdvvQaHSKwtP7S7ydvd7JrmgxaLarquH79f2MZI6PDW1237bS6XSMCjWzraqOteV2TN97PqMP0ilknzAcq5+QWGuuSonkxcwy0m1ORv+aRsHJI1vc36GqBHfCRHtnrjnApso6v9vei4xhisnEKkcd440mwhoFbCYV5FJSHwrr6LttrMnENzFNg3+/2mvJcbvJdLl4zVbNwehZ45DZ5eeNZ96sQVx8y3fkFlajaVq7f76iIy3cdNnUDlbvh8kIuDvvfP1JDwyanX3aFLSSt7DZ6lAUBYul+Rp3rHiYYVMbmh8kD4zyDZmhA+WQ490lnvCZYuzkyoUQQgghRFvIeNzh6UuvnaIo84F5QDlg7YLzXwVMbrTqjsM43ZV4Al0A8xRFuaoj4bCeXJfoG/pgawgh2ifzkx8DXYIQvUpRYVWgSxA9VOWgwezctDfQZTSxffE+1mzseQMbBIVCmf/ZJYUfxuYHmHsdYxiMvQoO/OK7vrYQzZbvXSzevZ+fb3kEt7OPBeyEEEIIIYQQQgghRK+k7fyl9Z2E6EKzBoVx/ewE/nPyIJakVWC6fRmWO1cw54UtLR53/ewEKh46EvcTs3E/MZu0e6bhfmI2L84f1mTfwmonx724leR/r/UJmQGk3zOVIGPX3WIRHdwQbFpcXHPY51NVlaOWZ3hDZmfGh/LdjPZ1a3ps7ACeH+/pUhbmE7ho8Pf67muLimsI/n4n437bx8hFe7H+uJun9pfybLoneAWeoNvDY+L5z+g4ak4bTbDeEyraU+NgfX2d/kyxWryPV7awX3v9MrPp62FXNT7L69hEgc9NSOCUOE+XshKnmwvXZ+M4pLtXrLnh+/xCRlmHrnOoVc28Jv8Jj2CqyYROUZhlDvIJmQFUNKrt2tCwTqnloOOCLFwSEsq9EVYyEpKYafQdqwsy63n5wZOYN2uwd11BJ7zvD0vYcBRFQmYdpu+5t6AFB5tbDJkBDE2NI3/nf5k+eQjhYRY+eu2aho16K4TMBPuhf280cOb5rCm76x4cO3Z2TuFCCCGEEEKIVimKYgVeBV4B1nXR+Rt3S3tM07Tyjp6v/tjGAa6X66/RJ+oSfUfP/b98IbpYdUY2yy+9A9Wttr6zEMKrtlyCZsI/fedP4NkpQiKDmTmhB75vw6LxzLsq2sRlaX2fXkOD7a9B6Y6mm4o2eh/aistY9dSbvH3sn6nMKejG+oQQQgghhBBCCCGEaKBlrkNd8Djoe+CEXqJPcz8xm+OHWwF46sxUfr9+ItUOlXt+zOTuHzJpbZj3gRNTcD8xm2fOHkqouWlI6qqZA3A/MZuCf81gYETL7+9Nt0wi0U9Hr860KdfmfTx/XTa7q/x3qGoLVVWZuSyDteV2AM5NCOOL6SkdOteIUM/zTqtx+N1+6PDQrmoHaTant4PZQePCzHwwaaDPunMGhHsfz1iWjt3V8E3NrnVw87Y87t5RwPWpkd71n+d2LATmT1yQgf+MbDrR3e8lHQ+zfT0tmViT5/32aW4l439LQ20U6Ao16Ig2erY/sLuIt7LK23V+TdPYWVVHicNFicOFrdFrNtJg4GRzkPdGoHsrK3iwqqLZc/073Op9fE9luU/wrLPtdDVMqnfX1TOxbbkFg0FHbFQwE+q/B5/8uLvLrt8m5rjAXr/Xc4AuONBFHJb4uAhWL7ifiowXmTV9eMMG1Q41K8Dt5+fJmeOzaF+5ioLTzqDqtTfQNBkLFkIIIYQQohs8Wv/fw+nm1ZK7Dll+2e9e7XPoOQ69Rlv01LpEH2FofRch+p7qjGx+mftnajJzSDx1DsnnnkhdUSnFqzejOqRriBAtiR+aACUHAl1GQJVPn45eUbBmpuPOLwx0OT2CYjSyP6880GX4NffCCehsPa/TGtYYKMgNdBW9R2U5dO5kmoHjrG5+W8YPaEnHoejNWAcnAXBg+QZennQ2533wJEPmzeqmIoUQQgghhBBCCCGEAG3f72jfPQBuJ4w9BVKPBKcN8neCy3/oRIjO9MvV47yPN2RX8+aalifligo28OOVY5ma3PYPlGNCjGTdN528SgenvLqNrXmewFeISUfO/dMJC+r62ypeX53vs1zpUpmzPINPpyUxJzqkXedSVZVpv6ezudITVDs/MZwPp3g+b3apKq9llRNu0PHHxHB0utbnJh5kMQJwoNZ3HF3TNF7JLOParb61W3QKI0JNDAsx8cCIWAYEGSioczE6LKjJud+ePBCDAm9ne8IboT/uQgESgwzk2F3e/R5PK/E+HhnauYG/O0fEckxMCEtLarhnVxEA6mGEQ3Q6HenHD+eSjTl8mV9Fms3JLdsLeHp8gnef7ccOZcSv+6h0qVy5OReLXuGCgRGtnvvT3AouXJ/T7PbjzBZ+r7PTOC72ek01N4SGEalrGra8OCSUPLebZ2uq0IBji/LZEJ/YnqfbJg5VpaL+NY2NtPDQzXN8tm/Z7Xndv1qwhxv+PKXTr982CoQlIZNEHgYFCEoE275AV9L5NHvz2+rSIWgsa9bv4r333uOMkGBG1dVRfv8D2JcsIerpJ9HHxHRfrUIIIYQQQvQjiqJMBq4Cztc0rVxROrdbQn1Hr9sbrdqvadr+wz2vpmkbFEUpB6z1q26nHUG5nlqX6FskaCb6HUdFFb/M/TOO0nLijp5K2NBBpJx7ApYBMfw060IcjuZn9BJCgK6T/yHW2+hCglnyq6fjUHCohVOGpeLalx7gqrqXITWFrZqFfTszSEiOJzomgqLCcvK2Hfa/U7uE0hNbrQ2bDAVbAl1F71KSgRYeh6J1fBbRXqE6C3a/D2OuIHxgPDGjh1K8Mw1bUSnvnngFxz98M7PvvCrQVQohhBBCCCGEEEKIfkBLX4X2zX0QHAExQyEoDMafgRJsRfvoWgmaiW5V51I54/Xt3uUnz0xlQkIIJ7y8zbsu1KzngRNT2hUyaywh3MSmWyYfdq0dsT676QRlJU43x63IZPexwxga6um4Zvh2h88+f0gM55NGHb5SLAYcKuTXeUJaFw2M4J3JDV3Ehi7a5w1w3b+riD3HDQU8Xcgseh2pIZ7rbKu080NhNRckhlNX35nMpPMdb/k8r8onZHZDahRPjo3H301dUabmb015fdJAPs6t9HZA08AnZHZw3UFPjY1v9lwddWRUMEdGBfNCRhm5dhdryg9vLCLIoOPTackEfbcDlwbPZZRRp2n8b0Iiu6vq+Di3gvtGxPCv3UVUuzX+tCGHFIuRI6N8u0FVON2YdQpBeh0Fda4WQ2aXBYdSq6psczWdWPexqkr+LyLSz1Fwa3gEz9ZUAVDcRR3Nyhud97Hb5/psS8sq8z5evOYA9zy9lH/feDS6+vebpmlMOONNRqZG8dHTZ2IwtB6ObDddEAw6C8UoIbPDZuwrs0a2hxOql3DRRf8gLS2Nd0NCWB9mxago2Bf9Sv7xJxL90gsEHXlkoAsVQgghhBCiL/oUWKhp2mdddP4/HLLcmdf5BE9IDgBFUa7SNO2VNh7bU+sSfYgEzUS/ozqcHPvdS1jHDKNw+Qa2/PM5Fjz3bqDLEqLXKC0oJzbQRQSQaqtl0owJbFy9A1t1LdmhUQygdwbNDEMHg06Ha2/bA2I6awSrqxWy0z3H5GTkkZOR10UVdo7da/OYdLpCj5mBcOgkKNwa6Cp6H9UNukRwpwW6kq5XsAbGXAHAsFPmULyz/jlrGovuehJTaDDTr/tTAAsUQgghhBBCCCGEEP1CaAzKVZ+hhMag7f4Nbd2HsP6TnvJJq+hHquwurPeu8ln3xOIc8io9YceYEAMfXTKKuUMj/IacegOnu/mfrJG/Nd8dqHHIDCCrtiGgdWlSBK9PagiZrS6z+QS4MmqdPLSnmEfSSrxhsiCdwuSIIFaUeYJW9+4s5LwET3BkVJink1i+3cVFG7JZWmLznuujKUnMTwxv9Xk2p/q00TybVsLNOwpQgHFhZrZWeTqyjbZYqK1zkKG6AWj8LXaoKvuqHfxSVINRB7VujZuHRLWpU5s/c6ND+CCngv02JytKapjVzm5yhzprQBif53lCXK9klvN7iY2d1Q0hXWP9c9GAucszyDtpBFaDjmNWZJJW46DI4UYDQvQKNY3eIxdYgjktKJg9Lidu4HhzEOE6HdMLPWN2z1ujuK681Lv/Qntts0EzgHEGozegVuJ2Ea3v3FuJYnQ6DIALuOLuH7nn6d9585FTOOGoVAYPjGD+SSP57OfdAPzfS6uYd+Qgjp05iPyiahJn/w+A7XuLGXL8S/zj8mnccMkU9PqWv8ef/riLM44bRpC5Dc9l8Nkohq4J2fU7OhfozKDWBbqS7uUupbi4GIDymhpWmi3MMXu6OKpFRRRfchmxH3+IeUpgwsxCCCGEEEL0RYqi3A4MAU7owstcfcjy2k4896E3Qp4PtDXQ1VPrEn2IBM1EvxMUG0VQbBQAq6++n4qd/eCGdSE6Uf62NBJnjsa5bWegSwkMTSNl+2ZSjp3M179tZf3qHZw1NBFXdi762GiIj6MqNILqOid6vR6LQUdonQ116w5wuVo/f3dQFGpnzuCXhetBg6TUQUwcGo9x81a02oYZGvVjRrLToae4sJyxo5JxuFW2b0unIjs3gMW3395VGeSceQwD1W2t79wd1D7ekasr1TrAFOgiuoHeM1iftXw94UkDmmz+8Yb/EDV8EMNOOrq7KxNCCCGEEEIIIYQQ/YgSOwwAra4G7ft/giY34YuuZ3O40TQIMeu96/aX2pvsl1fpwKhXCDLoKK5xMe+lbVx95ACePXsoBn3vCJtpmsbqrCru/C6D39M9gTGdAuphpDlPiQshx+5ifkI4d4/wnToyxuh7e4gO+NfeYp91dlXzhswAVODT+qDUX5KtaJrGBesPsLzUs49Bge9mpDAvNrTjRde7YWg0NwyN9i4fszyd5aW17KytJcJkRO9w4wYGL9yH1aCjToNad9PfS3fuLMSgeCYgvCTJyqtHJLa5hkfGxPF5XiV1qsb8ddl8NyOFyVZLh5/Tx1OTOWBzcOyKTDJqnT4hMwBno++1Gxj56z6MikKhw+2zX+OQ2duR0Rwb5KlpLkHe9esdDcGexXW+PzOFrXQqm28JZltVBQCTCvN5xRqFBgzU65lgMrf6PFuj0+m4NyyCf1VVoGmQW1jNjf9ZxI4f/4per+OTZ8/i/W+2c8lt3wOQNMATbly3Ld/nPNn51dzyf7+RmVPJM/cc7/daC5ZncNpVn+FyeZ5z1pJrvOfzyxAiIbPOpGhgGgD2zEBX0q1+X7mbiooK7/IPliDmNHpbaTYbRX/6M/E/fIsxNTUAFQohhBBCCNG3KIpiBR4FHtM0re2dFtp/jUNni+jMa204ZHmeoihWTdPKe2Ndou+RoJno11w1DR+Sm6OtoNNRV1Ta/AFCCEAh7UAlg0OCUWtsre/eV63dQHR8PCUFpXy+qxBTUAiO9EpIr/S7e5g1nGNmDEW/ujMnDugAvZ7MUePYtGC9d1V2ei7Z6bkEhwYzeeo4YjQXDqOJn1fswG7zDEQtzi0KVMWd4t0HV3Dro2MwVGUHuhQwdHxAst9T3a3v0xeEJLDj85/5dP4NTPrLfIJjIrEVlzVs1zS+vuwurtn6DcExUYGrUwghhBBCCCGEEEL0D26Hb8gsKBwMJqgubv4YIdqpoMrBlKc3ebuUtebTP4/i5FGR1DhUznx9O2sOVPPyyny+3V7KKaMjCTLo2JJbw7WzEzl/YkwXV986l1uj2uHGpWrEhBjRNI15L21jcVqFz343HZ3IU0s7PuHfo2MGMCbMfzBoaKiJu4bF8MaBMuJMBm/HsIOijHquSIkgx+7ik5xKDv1E/qoteVy1Ja/RteK4PDmSKJOervDttGROWp3F2nI7FQ4nqXo96W5PVeWuloNBLs0TzHrzQDkXJ0UwN6ZtnckSg4z8d1w8f9uST6HDzfTf07lzWAz/GR3X7vrLHS6qXCqbKut4dWIiJ6zyBG/0wPWhYZxlCebaslL2uZwcfNeXOZs+rzEGIzrgNIuFU4IsDDEY/V4vqlEXt89qfcdwNWCr08F4o2c2v+0OB8E6hdT6c80PDuGfVQ3vxasadUMzApviEwnrYJe4g64IDeOYoCCOLSoAoKBRR7y9GaXekBnA8MGesQ+zyf8tTc++sx57nYuXHjzJZ31aVhknXfGJz7rgoFZui3LVoGl6FKWfjEF1B6X/3Yr2xAs/AxBvMFDgcvFJXi7XRMcxyNDwWmgVFZT87Vriv/kSxXz4AU4hhBBCCCH6uVeB/Zqm3dGF15h36ApN0w4NYR2Odc1c87NWjuupdYk+pv/9370QjehMng9ODSHBnLD4XcJHDOa3M64h75dlAa5MiJ6tIqcQ7YTJsHJ1oEsJqEnjB7OwoBRQcNhbHvisKq/i19V7ONFi8eka1h2UIDP6AfHgdFKQkMSmxZv87mertrGsmW29ndPu5IuPKzn/DCOK2xnYYtTeMZNqj9RPgma1+iH8evdTAOz8YgFj5p/Ehld9B0ar84tYdPfTnPHKvwNRohBCCCGEaIVO8XyJjpHXTgghhOhh9I1CDaYQlAueh6gUtF8ehe0/Bq4u0evlVzpYd6Cas97c0e5jo4INBJv0BJv0LL9+Itd+kcZ76wvJrXTw+uoC736bcmuYPyEaRen+f2S63BpVdW4yyuxMfXqTd71BpxAepKfU5mpyzBEDQwkxKtQ4fduanRQbwu+lNmzultudnbE6i13HDcPo5x/VmqYxPtyMWafzhswijTrcGowKNfPgqFhvZ7JHRjvZWmnHpCicuDqrybl0wLkJ4V0WMgMINxlYefQQZizdz/oKO+luNxdbQtjpcmLTVEwonG2xcEJQMMn1IahsVeUXu40FdXWsrO/w9cDuQpbEtL2D0F8HRbGytJa3sz3Bq9eyytodNLthax7/yyjzu+3hcCsXhnhe559i4wHY7qjjb2WlZKluDv0O/y8yqtlwWWOpBiO3hIbzZHXDpJjJej0H6sN5pxUXMsVoYr3Td0xza3wiETodmQMGckVZMYvqfAOITmBsQS7bOyFsNtRgJERRqNE0yirsbN9bxJhhMfzxH9949znvpBFomsb+A+UoiufVGJkaxe503wmDX/l4MzW1TlZsyOGyc8dz+5XTeeer7T77DIwP5YKbvuG5++YxqlG3vCZUPAlA0TmUw3uf9CY2Wx079+Sxe69n0tZYFEaazCx11HFHZTknmYP4c3AI+vq/Qc6tW6l84UUibr4pgFULIYQQQvQdMh53eHrra6coyjxgPnBCF19q2iHL5Z15ck3Tyv18XjWN1gNdPbUu0cdI0Ez0a2HDUqjal8mgC04hctwIAGzZ+QGuSojeobiwkhY+ju8XwvfsJijEgr2mbcExW7UNpo6DdRu7uLIGhpHD+G5HPnXb6meY3N1/Z5jdvSKdvXOPZkRw+wesO5W9OrDX782K0tGGJKK4ywNdSZdQjZGs+83IgqcfxF3nCUTayypwVPvvHrn1/W858Yk7MIeHdmeZQgghhBBCCCGEEKK/MVogJApqSmHcqSj1gQ1NOpqJDnK6VS5+fzefbylpdp/jh0dgc6iszKzyWX/U4HAunx7PMUMjvOt0OoUX5w/j4VMH8/rqfPYW13Kg3MHPu8uoqnPz5OIcbpk7sFvDZsU1TuIf8D9ho0vVfEJmz50zhIIqJ/9dmsOfP9zTZP8Ig45bh8bw9iQz2XYXX+RVUlznosjhZkiwiaEhRgaYDVyxKYfMWicDf9lNtUtFURT+mmLlv+MT+L2khjt2FLCm3A5AcpCBZ8cncMaAML81DrQYGWgx4lIbYk/BeoWPpiQRadQzxWrB1E13pP04M4X4n/egAR/W1rAjPpHgZgJPKTodfw0N56+hcHFJEb876lhVVktxnYsYs+f2mG2Vdt7PruDa1EiSLCbsLpXrtuVT6XLz2oQEwk0GXp6Y4A2a2d2az/GtcalqsyEzgFMtwU3WjTWZ+T0+AVVVGVzQ0NFuiN5Aqr7tt/XcGBbOn4JDiNDpyHW7idHpWONw8Ocyz+/rQ0NmABeUFPFTbDyKovBmVCyapvFMdSUrHHWsdjTs/0WtjUtDDn884ruYOG9Xs/Gnv8kL95/Axh2F3u0bthdgGvsEbrfGaXOHAGB3uPj7RZP43we+Y6zvf+MZ83vg2WU88GzTyYRzCqrJKajm7qeW8sUL5zRflKMWLKbDfWriIFMY+B/a6lN27s5l/NH34nY3dCJ00dBdcEWdnRV1dswKXBTc8LNT/fY7hF9/LYqx9QCpEEIIIYQQwq9Pgc80TVvYxdc5tHNYqd+9Dk85YG20PLkNx/TUukQf03+mkRHCj8mP3orObGLQeSdRuSedrQ+/RMWOfYEuS4heoXhfDhzmrHW9nbu0nHlHjoImcws2r0hrOhhkGJSMITkRfVQkitn/IIZh1HDcM6ehH9C+GRNtUdHU1da1vmM/sfiTnYEuAXL2QMzwQFfRO7kdUB2EprX9Z6630BQd79x9gJ8eWeoNmR20/eMf0Pv53eC01VKWnt1dJQohhBBCCCGEEEKIfkrR6VHm3ep5PPJ4tLIDaOs+ggPdN6ma6Ds0TeOyj/b6DZndfMxA3E/Mxv3EbL79y1juOzGFnPunMy254Qb9b/4yhsumxeFWafJZcWSwgVuPTeLl84fzw5VjOWlkJAB3fJ/BXz7ei1vt+s+W3aqGqmr8tKv5oNGh7v4hgx0FNqocqt/tFS6VE1ZlkvjLHp7YV8wvRdW8m13Bl/lVPLm/hL9vzeeyjTnY6w8vdao4NKhTNV7IKGPEwr0cuyLTGzKbag1i+7HDmg2ZNWbQKbwyMQEATYNT48M4Miq420JmAFEmA/8ZFQt4Gk/NLMwj3eVs+SDg/yIi0QFuDf6zp4hcu5NJi9OYtGQ/j6eVMGThPkzf7iD0x128daCcL/KqSF20D1VVuXpznvc81W6VgQv2cMG6A6TXNA1qHcrmavg+XmAJJishic+iYjgzyMIb1mgiWhhf1R2ybVF9AKyt8t1uJhXmcUN5KaE6hWCdjrlBQewfMJAnIyI53hzU5Jgdh7yWiqLwj7AIPo2O46eYhnHJhfa2TbzZkjWOOu6uKCe40XO69sEFPvukZ1fgru/ct2B5BgCZOZU8eONsdG18LR68cTZvPnIqY4fHAPDVwr189tPu5g8oWIqmSUuzTqNzQMjoQFfR5e588FOfkBnALpeTrw75WflfdRWuRn+v1KIi3EUS1hdCCCGEEKIjFEV5FE8A6spuuNyh4ar9XXCNQ885tQ3H9NS6RB8jHc1EvxY5YRQnLHyT2KOm8P3kcyjb1BBAUHQ6LAPjsR3Ia+EMQvRfjppajJNSce5NC3QpAaVftYZ582aycOH6Nu2/Z28OMfWPDSlJbNQs7N+e4bOPwWhh+NhURhVmoVZ6ul9tqVXYu24TOr2OY4+dQejqNZ4RvVaU1rpa3ac/KUgrRtPFo6gBfl0ydsPQCVCwLbB19EZ5u2DEJHClB7qSTuXUDyBrvf9ue5qq4q7zP3itulw4qmswhYZ0ZXlCCCGEEEIIIYQQop9Thh0Nf3gWJXEs6tuXQvEh9xqEJ0CljKmJlm3Pr2HCE74BxSFRQewv9QSgnlqSw55CG59dNprxj28gvdTOodmw6PtW+Sy/f/FI/jgp1u/1PrpkJHNe2MLWPBtvryskPEjPU2cOQddJIan12dU8szSHDzYUARBk0GF3qcSGGkmNMrf5PFV1Kl9sbb6720Eq8FFuZZP1egUq3Q0v1HSrhdPjQ3k8rYQql8r+Wt8g0bpyO3ZVo2lfraZcqsY3+Z6uctGmwAVx7hgey44qB+/nVFCuaVxeWsziuIQWj0kxGEjW68l0u/muoJrvCqrJaPRa+Iv1VbhULt2Yy9oKu896twaf51XxeV4Vdw6L4T+jm58Y8v7dRd7Hfwv1hPmmm4OY7ifk5U+8TkeB6qnOCbTnVZ9e6Pk9/J29lvMswRwfZAHAoCicHxzC+cEh/FBr42/lvpOdv1pdyZWh4U3ON9rQ0HFppePwJrbMcbuYX1LU+o6NOJwN36WYGc81u5996y0EjX/Su/yv55ejKApP3XUcN/zbM8H9Jbd9x/yTRzZzoVJI/x4t5TQUg7tdNYpmmIxQFwWurphYv2c4fs4EvvnJf+h+nMHIs9Yo5pcWkeV2802tjXODG43luV2o1dXoQg+/S6AQQgghhBD9haIoQ4Dbgas1TSvvhmsdqiuueej/NFkVRbE29/x6al2ib+rfrWiEAOJmT0VRFBR9w49Dynknce6BxURPGRu4woToBRwx/gfu+puQVauYPfeINu1blFtExugJVM+YwcICO/t3ZjTZx+V0sXPTXvYlpqILC0U/II60XZkAqG6VRQs3UDFtepuu145JDvuF+CExre/UHVQ37N0onc06Kn0XmiE60FV0qp1rO3bc2v99wDODjsNRXdO5BQkhhBBCCCGEEEIIcQgleVL9g0axhwGjUf70GsrMSwNTlOg11mZVNQmZFfxrBnvvnkrj3Nd3O8s46ZXtpJU0DZn5c/H7u9mW1/TzUU3T2Fts56FTBnHzMYkAPLcsj2nPbDqszmYvr8xDf+sy9LcuY/ozm7whMwB7fSeromona7KqO3wNf6ZZgzg6yn80LDnI6LPs0jRWldVSVV/PY6PjuDzZ6t1+enwoFn3bBpAe3lvMdwXVKMAbkwZ2qPbO8vbkgZxT34Vtv9vNF7Wtfy6epPfMvZxR6/SGzGaazCyKieNEcxDDDQbidDoeDbd6u2x9mFvJvvrOZVONJpbFDiBV3/B777XMlrvVHe7Q3D/CGgJfxxTmd/g8sXr/EbXjgyyEHDKA+HBV0wAjeLqbDa4/jwNQVf9d99oizeV/EshzTxrBiMGRHT4vwG+rs7j4zDHeZbdbw+VSvSEzgP/84+iWT+KqhIzP0VSZr7tTKCqEDQJd20O3vc2VY48gRvG97S5SUXjdGs0PsfEMMxr5a4gnSPZ8dRXuRpPIVv3vJXKnTMdd2vbul0IIIYQQQgg+BTZomvZKN1zr0K5h0DR81RnK/axrqXtYT61L9EHyCYkQ9Y548EaKVm4k8ojRpJx7InkLV3Dgq4WtHyhEP5a9O4fkQBfRQ0RvWM/Moyex6vctre67ee3OVvcB2LpuF9v1OhSlEtXtO3Cz+Nf1nHP0BNSNLV8vQZGOZo2d8dexKO4e1EWsuBgMZnAd3iyQ/Y6zFgrtaFFGFJyt79/DpWen8vV9P3bo2E1vfA6AvbxKupoJIYQQQgghhBBCiG6hzL4SLXcrinUgjDkJ7NVon90c6LJED5Jf6WDs4+upqnOTEGYiu8Lhs314TBC77my4N8X5+Gzu+C6dJxbnALAkrQKAKUmhzB0aQVGNk3fWFTZ7vYlPbsT9xGzv8sacas57ayeZZXWY9ApBRh1j4i3sKKhlU24Nd36fwaOnDfZ2NiuocvDFlhLWZVexv8ROZlkdmWUNn9uPjLWwv9SO093xgBrAmWMj+WZ766ECs0Hh0qlxvLKqwLuuyqVyamIov5favOsGmA1Uu1RvgOqIcDNpNU421HfjCjPomJ8Qzs3DYnBrGkdFBbOl0s7FSRFY9G2bkzjH7jn3eQnhHBcT+M+g/zrIypf1HdZuKi+jyOXmypBQdDr/z+elyGjOKylkT33I6YwgCy9Eeiayey3Kd3LCueYg5hYXUFsfBolSFJ6xRpFiMLAkLoFJBbmUqCrFTjch3+9kTJiJ76cPIi7I97abvw2O4rkMz/f5g5oa7ouwtus5XmAJ4c6KcgDy1PZ117o2JIwXaqqYZjSx1engvZpqzrWEMNPcEPYxKwopegM7XQ3jK25gr9PJcKOxyTnPsgTz32rPa77N5WKCydSumg4qcHuey1SjifVOBxrw+fNnc84JIygutfH1or3c9eRSistq233uU/76qc/ykGQrJeWe88RGWbjv70dxydltmGRYdUD+GrSEyTKZZ2dQnBA+Fso3BLqSTmffaGPPVY9Rw8HfFzr+ERbOpSG+HcouDQ7lpeoq9rldfGir4U/126vffgcAtaQEfdThBS2FEEIIIYToDxRFuQpPyGpKN10yqpuu44+/rmUH9dS6RB8kQTMh6g089RgGnnoMAKrTybobHwpwRUL0fOVZ+QyZNgLnzj2BLiXwVJX4zRuZPXcKyxZv5PDnK6w/rbu5mQEVFm3PYV58LO6Comb2AXXLdsKjIqgs9T8TYX8SlWRlgLI30GX4qiyE4VOgoPWAojhEeQ4oKWgxKSjutEBX0yEaCnv3pfDRTR0LmTUmHc2EEEIIIYQQQgghRHdRhhyJMuRI77K69H9gl8+ghYfLrTHwwTXe5UNDZjcenchTZzW9L+XR01PJq3TwfqMOYY+ePphjh1kBuPv4ZK7/Mo0Fe8qbHHtEom8A6qONRd6gmMOt4XC72WFvCK88tSQHl6rx9FlD+GhjERe/v9vn+EMDJruL/AdfFKA90bPWQmaTB4bwxWWjiQ0xsauoxidotqvawb/2FHuXhwQbuTTZymXJnuCVXoErkq2Uu1TeyipnS6WdC5MiOC3OE2rQKwqXpVjbUa1HYn2IqtTpxq1p6AOcvjlzzQGf5YeqK3msupJJRhOPWyNJNfgGpSJ0OhbGDqBSVXFoKjH65m+RSTAY2BqXwH+rqwjWKVwT7Btge84axSWlxbiBOlVjY0Udo3/bR8kpo7z7qKpKpctNrElPkcPNz3W13Ie1Xc8xNT/H+/j2Rt3N2uK2sHDGGI18V2vjrvqw2ke1Nj6NjmWK0cRmp4MjjCai/HwfHZr/d/PuRoG05Ga6pLVFQX1oLtVgYPGrN2Oe7kJfH3iMiQrmL+dP5KIzxhAy8Wm/x48bHsNJs1OpsTt56cNNTbbrdAqqqmEJMrBv4VUdrpPqfWAfB5aOBerEIXQOsE4GRzXYev89BRo6bD/nUnrL8yyvq/MGUzfEJ6Dz83MVptPx15Awnqqu5O7KcjLdLu4Jtzaczybje0IIIYQQQrRGURQr8CjwiqZp3TWTxVA/68q74Dr+upFZW9i/p9Yl+iAJmgnhR/HqzVTs7J03rQvR3QrdRmJio1HMZlzZuYEuJ7BUleh1aznviCFkWCJYv3IrnRU486eytJKNsSlMDK5GszUzu5/LxdCxSWxcvaPL6ugtzvzbRBRXD+pmdlBRdqAr6L3KsqAsC23EJBRXeqCrabfsglQ+uumHTjlXXZUMRAkhhBBC9CQKTW9OFW0nL50QQgjRe2iuOth++BMpid5P0zQW7a3gb581nfBNp0Cy1czqG48gNrRpx6SD3rloJKPjgrn3p0xGxVm8ITOA4bEWfrpqHN9sL+Haz9PIrWwIsO0psvHQwiz+PDWeZKuZpAizn7P7evb3XHYV2vh9f0NI8v4TkhkWa2FIVBBZ5XW8u64QvU5hTVYVhdXOJudoLmS2644pmA0KqQ+ta7GGIIOC3dVwliMHh5McGQTAEQPDiA81UuDnugD7bU4e2F3EgqIaTogNYWSoGYemEW82cMdwT6euSqeb/2WUYXOrnBEfxqiw1l+XQ82NDuHfFPNrcQ0nrMzkxxkpmNvYDa2znbsmC39N5ZzAGqeDY4oKeCzcyh8P6SgEEK7TAa3XbdLpuC08wu+22eYg9sYn8o6thpXBJn4uKKLCpfJtfhVnDAij0O5i/OI0SpwNXchK1OYmlPTv3Zpqn+XrQtsXNNMpCmdYgnmossJn/VaHgwtLinC1cOwQo//bh/Y5G47KcruI7GDY7GBHs4TgICyzglA0T3e+nWklvPv1dlRVo5nGdABs21vMtr3FTdbHx4RQVGojaUAYigJbvrm8Q/X5KNkISTMO/zzCQ+eAIBMwDGz7Al3NYbH94gmZASx3NHS+tGkaoc18EHRtaBg1msrLNdW8XFPNtaHhWOvf7KpMJCmEEEIIcVhkPO7w9KKX7tX6/97Rjde0duO1DuUvTHaQtbuK8KOlukQfJEEzIfywF5cHugQheo3sDXs4GJMZN28myqpVAa2nJ3Dt208SkDx3El8t2da+6SzbKX13FhEzxjBo51ZoZrAqOEhm3BszZyhJxv2e0caeprwQwo106Rulr0vfhZaaiOIqCXQlbeY2xvD+DQs77Xx6Y/M3ZwghhBBCCCGEEEII0WVqK1rfR/R5N36VxvPL8pqsdz8xu93nuuaoBB5ckMWuwlq25NYw4ZBuZWeOjebllfk+QTObU+P+n7K4/6cs0u6eyrVHJbApt5pfdpf77HdQitVMVnkdv+wu96578oxUbjpmIACvrc7nlZX53HzMQE4bHYn13pbHvhRg5x2Tya5wMHdoBEr9XW5L/j6eSz/cQ0ZZnd/jGofMAP63PI9zxkVz7HArAOtvnsQF7+ykuMbFnqJav6MIy0ptLCv1BHYGmA0smjXIEzpTNY5dkcHmSs+1/7OniE1zh5Ia3L4xo2NiQnhiTDy37ShgaYmNFzLKuHlodLvO0Vm+KWgIYdlOG4UO2Fhh56n9pXyWW4kG3F5Zjk3TuCI0rEtqMOh0XBEaxmkuFz/Xr7tlez75difXbM1vsn9dM13C/KnTNJ6p9gQfo3U6VsUldLjO28LC+UdFQwe9B6v8/65O0OnIqx9fLFNVLH5ChNNNJvbVesJml5aVsCk+sUM1LbDbARj6p9nekBnAbY/+yg9LWp5MMNhiwFbrPyaXt/zaDtXTItsBNG2G3LDa2cwWcMaDs6D1fXsgd1UQpTc/711Oq+/2d7TJTGgLKUmjonBPuJXPam2UqCq5bhdWned3sWKQ2/aEEEIIIYRoiaIo84D5wPmappV346WjuvFa7bl2T61L9EGBmWpKiB7uwFedd+O3EP3J9l83YBw5LNBl9Bjauo2cdvykLr/OptU7qJg6rdnt+9ObDmz1JyddNZ1zT61Fcdpa3zkgNIgbE+giejdnLRTVodF7wlbFxRE4apre4NBRQZHtm9VUCCGEEEIIIYQQQohOsWdxoCsQAaZpWpOQ2dnjosm4t/lxi5ZYLQZOG+O5b+X9DYXe9WU2F0vTKlBVjYmHhM8aO/LZzbg1jdcvGMGB+6fzxWWjm+yTVd40+BUa5OnS5FY1rv50H+uzq7n4/d3MfHZzqzWn3zOV4bHBHDvM6g2ZAcweEsHmW9o+TqQB817eRthdKyi3uUgIN7H0uonsuGMKK2+c6PeYiwdGcFmylRC9Qn6di6fTPBOy/VxY7Q2ZAdS4NdaW1ba5lsZuGhrNqfGeLmHZtYGZ0W/kooZOeV9OS8ak02HQ6ZgWGcyHU5L477gB3u3/rKpgfnGhv9N0mmidjpD67/V+m2/I7NS4UO+s8MMNbR+3uLy0mKL60Nfi2AGYDyPldF5wCHsGDORCS7DP+tODLFwX0hDCy2s0ieWswny2OJqOWzxijfJ2aipVVbb72ac5Lk1jeZ2duyrKyFU9Hc1GTQzybnc63SzfkNvqeQ6GzGIiLfzw6nyOmZ4MQNGq69tcS/uo4GxfNzrRBooGoQmgC2593x7Ivmy/z7Kh/if9+KAgf7s3kVjfDXCfqyE0qYu0dk5xQgghhBBC9F0vAws1Tfusm69r7abrlLfz2i1t60zlAby26CEkaCbEIQ58vZD9b38Z6DKE6JU0VcMWIaH1xgyr1jD3uMldfp3Fv27ANXNGk/WOI2eQl9V/g2Z/vPtopqekobj8zxbaY+zbBCGDIbxjs0AKoCwbtORAV9Fmaes7d6ZnQ5C5U88nhBBCCCGEEEIIIURrtILdaL+/HOgyRDfJLq9j0d5ytPoOTW5VI7vczmUf7fHuc+PRibifmM3nl40m2dq+zyw1TeOFZbkc+78tlNs8N+F/sKEIVdXIqagj5v5VHPviVh5ckMXMQc13qyqsdvLFVk/Y6l8/Z3L9l2ltuv5fZwzwu35XYS2xIc13nLlnXjLJkU1DBmnFtRhvW0ZEK93Q/LE5VdbnVPmsm5YcRpTFU8fYUBNBOk/A4f2cChYVVVPj9nxfDkaThoaYfG4GSQwyMDem+YBea5KDPIGpNw+Ud/gcHXXaqkzSbJ6Amw44Y0DT7//fU6M4N6Fh/Rqng7vLS7usJoNOx/q4BOIP6WL098GRfDMjhb3nHcm9AwbwZXRsq+fKd7tJzctmmcMzlvXn4BAiWuiO1FZBioLxkLDarWHh3B4ewV9DQpvsrwKnlxTyz4oy1tb5jqt9Hx3nfXxGSSGq2nwIS9U0PrLVcFRhHkPyc7iwtJj3bTUAnHDUYOZMS/Lu+/ZX26ioajqGZzToGJIUwX/vOQ6TUU+wxfP+Ky6rZef+En5790LU3bcTHWlp/YXoqIzP0PK2oLml41SnUlwQPirQVbSbhkLNNyt81uW5PeHJJH3b3iPjDJ4uZndWlHm7oSltDKkJIYQQQgjRHymKcjswBLg6AJf3dyN0SQCv3dK2nlCX6IPkExEhGjnw9UJWXHFPoMsQolfL35dH74l6dI+ItWuIjI2hrKi8S6/z/cL1TDlyEoNdNWhmMzuqXOxasKFLr9mThceGMiwiHQIzuWb75e2FECuEx0JNUaCr6Z3sNujCMcXO4jAMZOHTizr1nC57Dw9TCiGEEEIIIYQQQog+RUtfjbbwSXC3vbON6L32l9gZ/n/rWt3v+tkdn0xtR4GNG77y7RaTW+ngxRV5vLq6YUK9fy840Oq59IqCW9V4sIV9371wBG+tK+TscVFcObMhZKbXKZw1Noqvt3tCStYgPdtvn8K8F7eyNd+GTgcjY4PZV1yLw63x0MID/N/CA7S199GcIeG8c+EIZj67mfyq5gcwQk36JuuGxgRReqCa7dW+P3cH7J5g3jRrEHeP8ASbxoSZWX50KqvLakmxGDkmOpgIY9NzttWfk628lFlGlUvl6s25vDyxeybOS6t28HNRjXe59JTmAyqfTE3ml8IqTl3t+b5/VGvjYWvX3QMVrNPxW+wALiktZp+mMn9EEv89egw2VyimReu4SjE0JP9aMK8oH3f94zEGI3eERXRajX8IDuEdW8Prd35JkbdrWnPesNXwhq2GATodb0bFMNZoItVoxAQ4ABcwuCCXj6NiONLcEJJxaRovVlfxZHVlk5+HEIuJf980myv/MAGzqeE2pex8T6DylDlD+PKFswka/xQAU8cNYPnHf/JsO2Yo9zy1lE9/2g3AnvSyjr0YHVG1C2rS0VLPRdG7W99ftOrpp9/nvfd+IjRIRdM03G4Vt1vFYjHxwqOXMGbUwECX6FVSWs2FV77I1p3ZHDNxFI9syUbfKLxZXN+lL7SN3QfvCo/gd4edbLeb7U4nQw1GNLu9S2oXQgghhBCit1MUZQjwKPCYpmn7W9tfCNH5JGgmRL3Mz39m6fwbAl2GEL1eeVY+Qyam4kxLD3QpPYemERIa3OVBM1BYv3Ib67v4Kr3FcZdMRHHuCnQZ7VNTDiYLGMzQ07uw9UTG3tHVa9E7paB17jkd1bbOPaEQQgghhBBCCCGEEM3Q9v2O9vXdgS6jR6mpc3PN5/t4f0MRt80dyCOnpwa6pE718662BTtu/y6d8ybE8MdJsbjcGgZ9226+BzAb/Hdw2ltcy9a89n3+qQCm25c3u33VDROZlhLGRVM8XZpUVeOeHzJYe6CaomoHWxpdr8rhJvFfa3CpBzu5eUJxjbUlZBYdbKDE5mLp/koGP9RyaC/IoGPKwKYdp16ZP4xJT2/ye8ysSAv/m5BAcn3nJ4BpVgvTrJ0zO9tUa0OgaHd19wVML9qQ7X2ce8IIQpt5nxx0YlwYlydbefNAOS7ghepKrg0N77L6QnU6voyp7/ZV5iLvmy3tPkel1jBg8Fl0LKEd7GamaRqv11Szz+3CrWmMMhq53BLiDYgBTUJmSTod2Y3W6Wh4P+erKqcXF7IzPpEgnY6vomM5taRhosQLSovJiE9Ep9OR53Zxb0U5C+p8QzMhisJcazifLbkSs1nHt7/u46r7fsbhdFPncGOr9YQtf1y6n3mXfew97twTR/g8r4Mhsz+cMpLn75/Xodenw9Q6SP8abcjZKDpX9167D/rvfz8iMzPPZ53ZbKCuzsXYozyTQj941zlceO5Mhg2JD0SJXvc+9DkLFm8H4LNfVvNAfKJPqGyc0cQKRx3PVVcx02RG10rgzKrTEVS/T1T9z7laXdPSIUIIIYQQQnS3oUobJ1JopEjTtMIuqOVlYL+maXd0wbmFEG3QsU+ohOhjqjNzWPXXewNdhhB9RnloJIrZFOgyegz9xHFkp+cEuox+Z8/6/NZ36onK8iBycKCr6J0MHZ+NtbtUqams/WBjp5/XUSUDUUIIIYQQQgghhBCi62llB9B+fCjQZfQ4H28q4v0NngDG44tzqHX2rc43p49tW1eoL7aWcPH7u9HfugzzHcvR37qMd9YVtOnYYTEWZqc2BIJmDQ7jnyemkBDW/vGmP7zrfxK6y6bGUfafmUxLCfNZ/+baAh75NZtFe8u9IbOoYAOK4gmWHQyZAZw5Noqb5vh280q2mkiKaL7O2anhzB3a9i5Vp4yKxOAnUDVhYCgpVv8Trq0oq+WElZk+tXYmnaLw+BhP6KPa1db+bYdHVVXWV3iCS3oF4oLaNo/yP0bEeR8/WlVJpqtnh4NuaRSEG1OQy5K6jnU42uFy8mBVBR/Yavi41sa/KivY4nKxbcBAZpka3jcJOj1/sASTNmAgK+ITWR+XwIvWKBbGxHtDMAe5gVy35/fZOJOZtPhEYhsF4e6vquCRygpmFOZ7Q2YXBYewJT6RrIQkbgkN5/uyCqad9y6apvH1or0UFNdQVmH3hswOWra+YSy1pLyWjTsKOOGyjxl50msAmE16XnrwJPT6ANzmpNqgpqT7r9sHlZZWADBy2AA+ffNavnj7er54+3qffe7/vy8ZPu0OlOjLUKIv49rb3uG2Bz7is2/Wkpdf3i11btySyUtv/eZdPt8S3CQEel1oGHpguaOOb+21bTpvaX2wM0bnGdPUqqo6p2AhhBBCCCE6x9fAtnZ+/b2zi1AUZT4wD7i6s8/dDtZuuo6//9ls6dotbetM7a1L9EHS0Uz0e6rLxbKLbsFRXhnoUoToM/Yv34o5LJixowfj3Lkn0OUE3Nr8ajzzZ4ruZKvoxR3BlJ4fmOqRDEAPHi/WFD1fP9I1XfbqJGgmhBBCCCGEEEIIIbqY5qxF++ZecMhnUQeV2Vz84+v9vLved+LmOpdGo8ZSvV6y1cyO2ycz5rEN7T728o/2YjbouOCI2Fb3NRsaxlJumZvEivRKnlzS9on8zh0XzRfb/IdBUqxmnj9vKBaj7+fvmqbx+G+erlnTkkO5ZlYCMwaFMSoumOo6NzkVdaw5UM3+4lruPSEFvc5T4+mjo5j38jYA7E6N/H/NAGB5egVzXtgKQJhZz93HJ3P7cUmoqkrSg2spqPaEa6Ynh7LmQHWTOhXg2XOGNPsc7zwuiWu/SMNfnKzCpeLWNAxtHJNyqhq/FtdQp2rMiwkhuIVuYftqHHxX4AlEZB0SEOoqL2WWex//e1Rc8zseYsTYKbyxvoQryj3vhRV1dgYZmnaI6yluDAsn0+3is1pPyPHOijJWxiW0+zzVWtN3xS6XkyNMJt6MimZkfi4AeaqbClWlwO0myWAgVq/nNEswAG9HxXBPRRl7GoXzvrfXcr3R8wvNqNPxcLiVK8tLAXjH1vD3YJjewD3hERwf1NBF78EqT6ho294CFEXhYInXXTKZLbsKWbq2oWPdCbMGsWBFJgCPvLKaR15Z7fNc7rt2FtbwIAJG7Z73fV9WXl5JVZXnfT57xnDmnzmtTcf9741f/a5/98Wr+NMfZnVafQe53Sp/u+Vt73KIovCPsKadEWebg0jVG9jndrHN6eCs+p+j5pSpbsrqg2Zx+oMdzZr+HRBCCCGEEELwKvCZpmkLA11IN4gOdAHN6Kl1iW4kQTPRr9WVVbD66vspWtH5nUWE6O/qqmy4IyIDXUaP4HTIwEMgOO29+HW3yayI7RYcBa7MQFfRovySwexf8X2XnFs6mgkhhBBC9CwKGorfWz9FW8hrJ4QQQvQ8WkUe2s+PQPH+QJfSozy+OLtJyOydC0dgtfS9YfiRccGU/HsmFqMOs0HHtrwaHvg5i+GxQdx1XBIRFiM5FXVc+ck+NuVWU1DV8Bn9Re/t5qL3duN6/CgUpfkQ1A1HD2TRXk8w5by3dvrdZ1SchcyyOhwulegQI4XVDddJtDbfVexPU2KbhMwAvtxWwt5iTyemV84fzoTEEO+2ULOekXHBjIzzDQ98saWY899pmFSsqMbJp5uLeGtNIQv2lAFg1CkU/2sGBoOO3Io65rywxRsyA0gr8d+16pa5A0mM8N+1DODqWQlcMjWWsLtXNdn256QIzK10e9I0jUf3lfBOVhkVLpUCh6dbVYrFyKqjU4kzN33vljvdTF+6n8r6Tmb/GNq2DneH64Zt+d7Htw5p+zU1FLLVhqBUmK7nTwb5ZESkN2h2MIjSXmMNRmJ1OopUFauiY4LRyFEmE6qm8eohYZaf6+yUV5TyabRvgG+GycyCmHieqq7kv9WeYOEGp+/Ejs9W++/A9HNsPMZDfr7vCYvgoaoKxgyL57hLPiS/xDOW8fy7TUOrB0Nm/uh0CmfMHdrs9m4R1D3v+75s2LBzvI9ff/93rNYQRg1P4Pg5YxgxdAB70vJbOLqpS655hQvOmY7R2Ll/c19681fWbGj4984L1igS9E2vsaqujn1uz++aQX62H+r3ujo0YKTBQFR9RzNVOpoJIYQQQhwWGY87PD3xtVMU5WU8nbOuDHApgVQe6AKaUR7oAkT36nufcAvRRmVbd7Po5L9Sm1vY+s5CiHazRIbDrq7p3NPbhFvDyD8gv2u6W0RcKL3237ZGK8THg1oHqmeQF4MFamvB5QRbzw5UBcTAVBR3WqCraJZmCOXjO37vsvPbSsq77NxCCCGEEEIIIYQQon/Tdv+K9tP/gct/MKa/Kaxy8OSSHHSKQkRQ0+DShZNa79zVWzUO0I1LCOHzy0b7bB8YYeaHK8d6l495YQvL0iu9y4bbluN+YrbfcztcKg8vPNBqDbsLaxk7IJjBkWbsbo2Fe8q92+YOjeB/y/NQNZidGs7Q6CDeXucZn5k1uGk3mn//ksU/f8nyLo9PaLkbzUGNQ2YH/fHd3T7Ln102CoNBx4EyO8P+bz0uteHmLQV46NRB/O0z38+0rzsqgUdPT231+isymnbAmRRu4ulxA1o9dmmJjXt3NR2zyqp18nuJjfMSm75OOvCGzADuGt5173GXqnL15jx+LmqYXC3aqEenazlA15hOc5HWqCPXdGPzwb2eQlEUbg8L57GqSqaZmg9MtiRUp2NNXAJf1dpw4wm+nFlSRImq4q/B4mqHw+95XrdVs9bh4BiTmSWOOtyN7jvc7XSy1dUQmEzQ6TnCZOKpiMgmITOAK0JCeaiqgh37CtjRoWdV/9yCjZj9hCC7Vek2tPChYAwBff3vfk0DewVUpUH4cJSQkJbP0Y85nS5KSip81j35wk+tHjc0NY7QEDNZ2aU4nC5qahqCj0eMT+n0kNmnX6/hpns+9C6fbA7iuEZd+hr7wW7zPp7XzD6NLa7z/DtqrrmhM59aVtbRUoUQQgghhOgKZwHtvQGvqLMurijKZOAq4GpN08o767xCiI6RoJnot1Snq8UZ84QQHRcSa2XkqAScG7cEupQewRohgwrdTW/Uc/r8SKgsD3QpHZO5reXt1mBQe3HHts4WmQTurNb3C6D1v4dQmVfZ+o4dVCXBeSGEEEIIIYQQQgjRVVQ3yJia10mvbGNLnufm8rPHRfHl5aM5IjGEZKsZVfN03hEeS66dQEapnaEPr/Ou0zTN7xjtO+sLWJ3l29nFqFeYOSiMby8fzYSnNpFV5ukGsy3fxrZ8W5NzzH+7IQCWU1HH3uJa77LF6BtU+s8C35DZ8+cO7ZSxY50CD548iNPHRANwwsvbfEJmABo0CZkBVNa5Wz1/Rqmdk15pOoYwMcKCpZVuZuAJlPkz1RrEVGuQ323hRj33j4jlwT2ee8cybA4GB3csDNWa27YX8Ha2bxgl78Th7TqHzlHDXWERvG3zhNWWOes419Dzb4051hzEY1WVLKmro0pVCWtHuA6gVHXz36oq3rQ1DSI2N6L0ra2Gky3B3pDYYrudByt9X//a+hnutzodnFvcMBbxhjWK44MsLf7c7HO1fSxraIqVQYnhZOVWsi+rnBNnD+bYGYM4clIiU8bGE9JF77k2q9rl+WqOzgghY5vf3o/t3ZvFnDm+zQiOPnIEZeU2tu3MbvHY2Ogw3n3xKoYNiaeuzsmW7QfYtTcPW62Deccc3uvtdLp4+6PlbN6WxbxjxrJo6Q6ee3Whzz63hUU0e/xccxBv2WqIUBSiW/l5tWsav9g9f5OOaxQ0c+e1r4ubEEIIIYQQXSxN07TtAbz+q8AGTdNeCWANB5X7WRfd3UX4Ue5nXU+oS/RBPf/TNCG6SPTksYy57S+su+nhQJciRJ8SP3owiY5yCZk1Eh4kf26721k3zsRc2Uc76gVHgNp0AL3fih0KYZUozQ6TBl61NpgfHmp9VsbDUb6/9Zl+hRBCCCGEEEIIIYToCGX0CWhZ62Hb94EupUc4GDIDiA01cebYhns59JIxa2JwVBCXTInj3fWegIrhtuWEmvU8d84QRsUFE2zUMfnpjZj9hKQ++/MoJieFEmYxkn7PNL7YUuzTTWzOkHD+cEQsOwtqeGG578366aWerjcWo47bj01idmo42/JqGBZjoazWxQM/e0JmRySGsPBv44kMbvtYjk6Bg9kxk15B1TROGBHJJ38eSZBB59N9q7C67Z9dD49puSPOXz/ey5trC/xue+tABY+OiSfa1PLzOGtAGFMiglhfYWeQxcD5iRHYVY1/jozFamzaoe+gW4ZG81V+JVsq67hsYy6Ljxrc6vNpr0f3FvFchm93nxtSI9vVzQxAKS3gsrIS7/KRvaCjGcAYQ0PfsbEFuZxkDuLVqJg2H39beRkL6prvPHmxJYT3a2t81l1bUcYxdhvvRsVSp2ncVFHa5LiD7/Wl9loO9pLSA1eUlxKn03G2JZg7wiKadDSr1VRuczWEPc0mPXWOpmHKXT/9lRGpUW17kj2ZKTLQFfRINTW1jB59Pm637/f+uUf+RF2dixknPtji8avWpTFq5l0cO3s0c2aN4MpLjmHa5CEtHrN5WxYvvL6IujoXs6YP40/nzyIkpOH3QH5BOY899yMff7ma3PxyAJ5/bVGT81wbEsZwo79+gB5zzEHE6HQUqyp3V5TxuLX59/FCey2VmkaCTs90U0MtrvT0Fp+LEEIIIYQQ/YWiKFcBk4Epga6lB2j6P+c9Q0+tS3QRufNd9FuO8kq2/V9PCD0L0XfEj0llQFkurqqmM+X1Z8Fa6zNQis6jM+gYPbAEalrfV/RywZEQUYfSQ7u7aYqBhZ+aWfl214bMAPI37ezyawghhBBCCCGEEEKI/kkr2A3bu/4zrt5i5Q0T+WBDIVaLgftOSAl0Ob3CGxcM9wbNAKrr3Fz+0V6ffWyq2uS4s97cSZBBYe1NkxgzIJhzJ8QwZ0g4S/dXAvDrNeNRFIW31hYATbvCnDU2irPGRbFgTwXmO1Z41xvrE4FGvdLukBnAQ6cM5qONhZw5Lpp/njSoxX2Nh6QPI4L0VNj9jxudNNLqd72qqpz22g5+2VPe7HWGBhuJMOgocbiodWskBBnQ++k0FW7Us+LoVLZW1hFr0jPQ0nyIorEQg47HxsRz8qoslpXaKKhzsbHCzrHRwX5Dgh1xz64i7+OT40J4ZWIiiUFtq68x1VbNWocnEnWsKYiEXtDNDEBRFI42mfm9vvaf6+zsdzkZYmjba3CU2dxs0Ox8SzAPR1ibBM0A1jgcaJqGBjg1rcn2LU4HO50OppjMgKfr4MF3cKGq8kpNNWMMRs4NDvE57oGKCrY0up6/kNk91xxJaLARW62T/32wEWu4mQtOGUVYaO8IB/qSpPGhNE1j3LgLmoTMAN79ZAVPPPhHLv3jUbz90XK/x+t0CiHBZqqq7Sxcsp2FS7bz7ye+4dI/HsVD98wnLjbc73GP/Pd7PvpiNQDvfLycF9/8lU9ev5alK3fz869b+e6XzdjtnrHF2Jgwjpo+nK9+2OBzjlS9gVvC/J//IIOicGZQMG/Yqvm41sYFwSFMNTV977o1jbfqOw2eZwn2+d3s2LK12U6fQgghhBBC9BeKoliBl4FXNE3b0Mru3aW7QlVWP+vKW9i/p9Yl+qDe8YmaEF1g033/xV5QHOgyhOgzYkekMKCyAFVCZk0YS0pa30l0mhlnj0NXkxPoMrqO0y7/gjsoaTCKq+fO9LdpbSwr3/qtW65VuH0fTlstxuCWZ7wVQgghhBBCCCGEEKI9NLcL7edHQCZU85qeEsb0lLBAl9Gr6HQKBf+awblv7mR5RmW7jrW7NMY/sYHoYAMlNpfPtoM35hc16ho2LiGYgeEm7jg2mdfX5HPFx/uanNPp9oRpHjgxpd0hM4Dbj0vi9uOS2rTvwHAzxTWeus16hb8dOYBHf2s6hhFp0TNpYEiT9Q6XyrRnNrEt3+az/tMpSZy/Ptu77NYg/uc9VLg8gb0oo54p1iBmRlq4PDmSlOCGsJJeUTgiIqhN9R/kUjU+yWn43g38ZQ8AyUEG0k8Y0a5ztcV3M1oO8DXH7lIZuGCPNwh1U1jv+ll9PzqWZXV2Lir13Mfws93ONaFtC5pdERLG6UHBZLlcPF1d6Q2s6YHrQ8NRFIXMAQPZ5HTwXFUlCx116IB55iAURSEIuCY0jMeqGr7PRxiNbHI6ubS0hMWx8c1eO9NPkOgjP6G2Qz304kpe+3QLQWY9mfXvr6vu/ZkfXp3PyXNa7lrV46h1re/TzyxatIaMjFyfdTf97USeeekXPv92HQ/eeQ5vPPcXzGYj7326ApvN4bOvqmpUVduxWEzU1nq2OZ1uXnt3KV9+v4Ev3r6eObNGNrmuy+X7fty87QAjZ9zps27MyESOnzOG9ZszmoTMZpnMvBgZhaEN4a9bwsJ5oz5EdmN5Kd/HxOPWNL6115LvdlOkutnodLDP5cIE/OGQQKZaVIQ7JwdDUtv+pgghhBBCCNFHvYonxHRHgOtorDyA124pTFbeXUX4IR3N+hm5TVn0SyXrt7Hnfx8Eugwh+ozYESkk2opRyysCXUqP5NqXzoCUJPKzCgJdSr8wYUYk1PXloFkdDBgMFX34ObaVu+e+Bi5jHN/+s3tCZgCa203+pp0kz5rcbdcUQgghhBBCCCGEEP3Aug+hqGlQR/RfmqahaZ7wWHvEhBhZet0EAA6U15FX6eDFFXkkhJuIshi44/uMJsdcMiWWd9d7ulwdGjILNTV00bp+diJxoUZmp4YzKDKI01/fznEvbfXZ/8qZA5ieEkqtQ6XU5mJaShgnjrC26zl0xAd/GsHYxzcC8OL8Yfzj6/0+2016hU8vHcXpY6KbHFtqczDhiU3kVXoCFrOjLCwrrQXwCZkBZNQ2hO0MCpQ63SwoqmFBUQ0vZ5Sx7/jhBBs63nnsik25fJDTdBzwgN3FD/lVnDqgZwS6Xs0q84btTjQHMclPd6GebrY5iFODLPxgr+WF6kouDA7Bqmvb9y5OrydOr+c9Uwy/O+r4wFbDUSYzg+u7uimKwiSTmTeiY8l3uwlWFMIbnfvakDDOCgrGDaTo9VRqGicVFZCnujmzpNDvNS8NDuGqkFCyXS72uVzMMZvJ9hM8a45OhzdkdtCbn2/tfUGz6gy0qFQUpWlXuP7q7be/a7JuxRrPvykysor5fsFmzj9rOi8/dRl/Ov9I5pz+f979BsRHcPJx43nrw2XekFljJaXVnHT+E3zz3o2ccOw4n21xMf47kY0ZmciJx46jorKWnxZt5blXF/rd73lrFJE6fZueY5hOx7b4RE4pLuCA280xhfnUahp2fN8HCvBfa5T3Z7Exx/oNEjQTQgghhBD9lqIo84D5wPmappUHuJzG/IWqrN107fIWtvXUukQfJEEz0e+objerr/knmqoGuhQh+oTYESkMrC3GLSGzFo0dIUGzbqFAjK7nho86TY0LjBZw1ga6ksDSDwBXVqCr8EunNR306mppvyyXoJkQQgghRE+hQBsmvhbNkddOCCGE6BG00iy0lW8FugzRw5zx+g5+3FXGi/OHcdXMAR06R7LVTLLV7O0Md8br2wG4+ZiBPLXE8xn/JVNiKT0kXNZYtUOlvNaF1WIgyKjj0mnx1LlU5r20ld/TG0IrV80cwAvnDm13MK6zjIoPIf2eqQBYLQb+8vFe77aRsRZ+uXosSdam3cX2FtmY9swmquo8Y9o3DYniibEDuGJjDu9kN4zJjQ41cWxMCNUuleGhJqZEWEixGNlnc/BdfhWvZZVT6HCTW+dimMHUoeeQU+vwGzI7aGx4+8NcD+8p4un9Jfx9cBT/GBJFzM97vNssh/G9Oioq2Ps4U1VRVRVdG0NaPcndYREsqbNTqWlcUlrEZ9FxmNvxP5mKojDHHMQcc/Od6wbomwZpFEUhuVEQxqooHGMO4qPaGva4PD+PfwoO4eGISMATPK3QNJ6sruS1Gk9Xpz9YgqnS/IetjpoykHlHDuKF9zdSXFaLJchAXqGn89nMIxJZtcnT/SohLrTNz7XHqCuEsiy0yGT5PKDeE0/cxHvv/eizbs2GhrBtWnpDeHHGlKE+ncvGjUrizef/yu3Xn8rufXls3n6A9z5dyb79DePtdruTE+c/wRvPXsHlF8/xrr/3ljNJHGDl3oe/AOC0EycyZFAsmQdKePntxd5rxMaEcfapk3n1nSXeY2eaTMT4+dloSbhOx4uR0VxdVkJOfchykF7PsWYLcXod8To9RxhNDDf6705Yu+hXgs86s13XFEIIIYQQ9WQ87vD0jNfuZWChpmmfBbqQQ5R303Wi/KxLa2H/8i6q41DtrUv0QRI0E/2KpmmsveE/lKzd2vrOQohWeUNmZRIya401NxudXofqlpBrVxp/7Ah0tSWBLqPrlWbDsMlQ2M//ntUC/sdkAs6Npduvufmdrzjm/mtReuGguRBCCCGEEEIIIYToWbSKPLSv7wZ390+oJHq2H3eVAXDNZ/vIKrPzn1MGH/Y5V2dWAVBe6wmyTE0K5a0LR/K3z3y76c0dGsHGnGoq7G5CTTrCzA1hgPJaF9H3rfIuXzMrgafOTMV0GF28OktKZBBnv7GDb3c0TDr92OmDuWWu/w42y/ZXcMLL23C4NRTgqbHxXD/E0/HsjUkD0SsKbx4oB2BntYOd1S3/nE63Whga3P4P09NqHPx1Uy7LSm3N7nPN4EgGBbcvwPZpTgX37/Z0qntobzEP7S322b766NR213rQZKuFU+NC+aGwmt1OB9dVlPG/yKbd4nq6FIOBr6Lj+ENJEZudTu6uKOOJiEiUDtxBmet28W5NDb/W2SlS3SyKjW9ztyaA6SYTH9XWeJfvDYvwPlYUhStLi1jtaHgPflJrI6iZOpev/3/27jq6jTPr4/h3xJKZIQ45zA1TuU2Zabe85XbL8Ja3zMzMzNykkLShhhkdchwzo2Sx5v1DjmzH7NiW7dzPOXtWGj0zc4Vu5pnf3BxCzXqKy+woCtgdtWHSu6+exilX+4NBQwc0dj5bD1C8FEJTwNA9ztYMtoSEGBISYigoaHzutrLKEbhtMOj4/qPr+WvhVnQ6DeefNR2AEcOSGTEsmdNOnMg9t5zMo8/9zENP/4jPVxtmvPSG94iOCuXUE/wXY0xKjOSeW0/h8++Wszkth/n/pPHrH+sD40cMTeaif83gv5ceRWm5tV7QbKy+fYHcsXoD8+MSWeJ04FDhcJMRs9K6vz/2X37B99ADaCIj27VvIYQQQggheipFUZ4EUoFZwa6lESsbWdYZ/1iNbGRZY13L9uqudYleSIJm4oCy7ZVP2P7aZ8EuQ4heIW5oP/o4SiRk1kqezGxmHjqFRX+vDXYpvdqgcbHAARA0A3A6Wh7T21WVds4/kzpAVnrbr+C6v8p3Z7NjzkKGnnh4l+9bCCGEEEIIIYQQQvQeqtuO+uNdULon2KWITnLXrxlkljt57Pj+9I9uuuNRSx6fl43Hq/LESe0PBtndXkpqOpdtK/QHmhLC9Ph8Kvcf04+3l+Vj0mlYcsNYnpmfw/xd/m4xB6dGoK3pfJVV7mTAI7Xn2Tx+wgBuP7LxEFdXuvOX3Tw9P6fBcr0GfthUQla5ky0Fdq6dmcipo2MB+GxNIRd/vh2fCloFvpnUl5MTwwLrplU5+Ti7HIDz+kQQa9BS5PJQ7PJS4fZR6vaS53BjqwmpzYoL4a1xye0KKN28KZ9FzYTMHhoWx91D49q83Zd3N31ekuvE4fvdgeynqf0w/7IFtwq/OOxc6HQwvZnOXt3VML2eZyOjuLSshK/t1YzTG7gopO2dvi4vLWGTxx24v9Dp5FSzpZk16jvRbOaWCn/A9ESTGcs+70/dkNlejiY6mgH8vjgDRYF9h+wNmaUkhLJ5RxEb0wrJKqhCp9X4/6fToNUoxEVbGDqwm04OAbisYAhredwBwmhsOuS6J7t+yPTYI8dw7JFjmhyv02m5//bTGDeqL6df9HK9x0678CWyNjxHSh//Z2P3niI2p/l/f0MsRmw2J1defDiXX3Aok8YPDPwmPvrcz/W289/Q9r93RkXhCFPbL0SpOpxYP/6E8Ouva/e+hRBCCCGE6GkURUkFbge+qXO/I+z7D8bolratqmp6I4sbWxbZ3qKa0dg/cNc0M7671iV6IQmaiQNG0fL1rL71yWCXIUSvEAiZlZYHu5QeJW73TkwWE45qCQh1lsiYbtreqjNI1yqoKkCNsrRrgrwzqRoDf7ywOij7Xv7iRxI0E0IIIYQQQgghhBDtpqoq6m9PQNGuYJciOsnmfBtP/Z0NwMKdZWTeN7VVx1jtbi9P16xX19Pzc/jvzCT6RZl4cWEO63JtPHhMPzLKnBzx+kYizVoy751CiLHlDkr/ZPg7m/26tYyxz6zhmhlJADg8PiY8t67e2FlDI3l1cS7vrihgfW5tt6WbDk0OesjM5/Mx+YX1rKtTV11uHyzJqGJJzfOdt6OcmQPDOXpIBA/+kQWASaOwYMYAJkbVDy08tbMYjwonJoTy0YQ+Tdeg+oNm+3P8vMjlafbx81Mimn28KbtstcGk50cl8PiOYgpdXg6Psex3yGwvi1ZDhccHwOVlJayOT8LUA+dVjq4TWsn2Nv9+1FXk9bLC5cSpqkwyGOoFzX60V7cpaGZWNOxK7IMG0DbyeUrSaMnzeTnRZObflhAuLK0ND33xwikY9FoU4PXP1/LH4gwAbrhoIi9+2Pg8SnaBldc/X8frn69rsqbPnz+Zf50wotXPoUu1sovVgSIzM7/Jx6IiQtq1zdNOnMjdN5/EY8//Um/5jOMe4YE7T4mk8zsAAQAASURBVGPjlmw++vIfABLiwykq9v/W3n3zSfTvGxsYn55RyCvvzg3c76/VEt2Gbn8dqeqd9wi74nIUU88LxQohhBBCCNFOE2r+/6ya/3WWSKDZA52KosxSVXVu3WWqqq5p5JhKl3QOayL4tvexblmX6J0kaCYOCM7SchadcxM+t7vlwUKIZknIrP28xaXMnD6VefMk2N9ZQi0+aPrimr2LRv4zjpBYFMUe7CoayM5PoXD7hqDsO/3PfyjcvIP4UUOCsn8hhBBCCCGEEEII0cOt+BS2/xXsKnocj1flo9UFDIoxc9ig9oVvuorbW9tGKLfKw8rMKqb0D29yvM+n8s7yfO6evYcye+NBl4GPrkKjgK9m0x+tKgw8Vm73En7PUq6clsjDx/dHqyioqERb/BeOc7gb73y0tdDOI3OzGn3szbMH89eOcr5cVxtoGZ1o4amTB3LssKgmn0tX+GxNIbf9vJuCqpbnpRVg77P/Z3cl/+yuBCBKr2HtYamkmA31xntVlR/y/YGJ2wfH0hxNB1yg7ZlRidy0MZ/1lQ5UYIBFT7hOw/pKJwCD5u3Ec/LINm1zdn4VBS5v4P71qTFcnxqz37Xuq+T44czOr+KUlVlUqSpv26xcH9b057w7O8RgZJHLib2ZLmF1uVSVo4oKKFf9QbsnwiM52GBkscv/vi1zOfGpaps+I/omxmZ5PJT5/Ps5wWTGRO24EYNiOOf44YH7px49hCfeWkZOgZWHbzykyaDZvsYMjcOnqrjdXrZn+Durrdlc0H2DZjJ/16SDpw1l8bLtgfuvvfcXj9xzBpHtCJw9eu9ZLFu1i78WbQ0sy8ot5bIb3gvc12gUCgr9v6vHHjm6XsgM4J5Hv6W6ujb4mqIN3nvnKyrC9s23hF5wftBqEEIIIYQQQjRQTv3AVUd1Xatr3222JsxVTvesS/Qycikd0eupqsqS/9yJLTM32KUI0Quo9HGWSshsP0Sk70RvkAmGzmLWOYNdQhdq3YRirxbe/ER6MKgaAz8/vCyoNSx74cOg7l8IIYQQQgghhBBC9ExqxgrUxW8Fu4we6di3NvHN+hKOfH0jPl/3PnabFF4bXtIpsC7Xhqum81Nj3lyWzzXf7moyZLZXS0/7rWX5JNy/nNj7lhF333K+WV9MXqWLEH3TpywUWt1oFThkYDhnjInhg3OHUvTQVC6ZnBAImU3tF8bueyax/rYJQQ2ZFVa5GPLYKi78bHsgZKYAb5w5CO8zB+N95mB23jWJ8yfEcdigCNxPzcDzzMGk3z2JfSM8Bo3CUztLsHl8LC6x4asJ8qyrcFDp8RGh0zBtn05nnWFmtIWVh6XiOGkE1hOGs+OoIaw+bBCX9YsMjNH9vIUr1uVi9zb9GaprTqE1cNui3f8wXHNOSAwL7OMdWxUeX+tq7G4mG4wA/ON04m1F2EwDRGhqX9v5TgfvRcdytNGEAXghMrrVITOfqrLc6WS5y8knNivb6lzYt8jj4cTiAhw181XXlpdydmlR4PE7r5zWYHt3XjmNl/93NKEhBiLCjIHlpSuvZ/X3F9cbG1ITRv3yhVPY+MulpP1+BcnxoQBs3lGM6BleeeX2wO1H7zmT4UOSAvdVVeWL75a3e9u/fH4zffs0vHD/ZRccykX/mklcbBgAfftE8+GrV9Qbk5ld0mDfD4RHtruWjlD1+huoXm/LA4UQQgghhOgFVFX9RlVVpaP/18iu0lux3txG1gNYtc/9yI58DRRFaWx7reli0V3rEr2MBM1Er5f90zyyf/472GUI0UsouIcMhWlT0U+egL5/X+iAKyIeSLxFJUydMTrYZfRaWg6gzpXlRXJVxH2u5todFJT2pXh3aVBr2PDxj9gKS4JagxBCCCGEEEIIIYToWVS3HfXPp5ELXLXPWeNi+X1bGeEmLRpN95o3UfcJpiSEGXA8OQP7EzMYFm/mraX5mO9cwvsrChqsa3N6ue67Xe3a76SUUGYNjcTcRJDsXx+nkfLQCoY/tZqxSU13s/GqMPfqMXx98QgunBjPnjInw5+s7YR099F96RdlaleNHWnqS+tJL3UE7keYtDiemMEV02tDFQNjTHx03jD+umYMGo3/dekfbeKDfw+pt60Cp5fXMsqImJPG4Uv2YPg1jZBft3LFev+FVYeFGtF24fycRlEwamvfxzfHJdcLur2fVU7Y7DRUVeXh7UX0/WM7N2zMw9lI+OzJkQmB24nGzp/juH9YHABlqsr/VZZ3+v46wzkWC2GKwk6vhx/t1S2O1ykK70XFMrimO1OURotJUXgvOpadSSkcY2p9SPG+ynLOLi3i7JIi7q4sZ1ZxAStrOqPNczqoqPP7ogX6a7VM1Bt49pZTuODUxrvdqarKDY/MpcpW20nqk5+2MvH02ovovfPoceh1/s/cyBPeRTf8aTTDniK3Jqg4e0E6qzbmtfp5dClr450YD1TXXnsOW9Z8yNLf7uXQGcN48v5zsFgMJCZEMOvwURx1aNu6ItZlNhv45oPr0NX5fYqJDuX2609AUaCgsBKz2cCPn9xIQnz9bqPPvfZb4Ha4orAxIZlhen27a+kInt0Z2H/5Nag1CCGEEEIIIer5c98FiqJ0ZPewxrbVYJ+tGdNN6hK9zAF+drLo7bxOF6tvfTLYZQjRq2yeWz+YHj8slcSiTFTXARTw2U8J1vJgl9BrKeoBdJW3slxIHAy+MnBUBruaIFCA7vW8VUXDr0+vDXYZeJ0uVr72GYc/cH2wSxFCCCGEEEIIIYQQPYS67COozA92GT3WNTOSuGZGUssDu9hvaWWc+M7mwP3frxzN0UMj0declD8kzsIPm/wXrXr1n1wumZJQb/0Jzzd+vLNPhIGcitqQyNIbxgFwUHIIBl3DYJnPp7Iq28r0l9Y3eGxPmRNw1lsWY9FRUu3voHbCiCh0NV2pXl2cy40/prM323L88CiOHRbZ1NPvdM8vyOa9FQXsKHbg9vqLijJrWXfreFIiWx9+GxLXcvDH6VPZUOl/ndZW2Nla5WREnY5QXe27yX25N62Q9zLLA8v0v2wN3H4to4zXMspwnzQCpU4ozqLTYNIoOHwqfc2dH+q4dVAsv+ZXsbDUzu8Oe6fvrzMka3WcZrbwcbWNR6sqOMPSdDBzryF6PX/FJ+7Xfte7nHxabWuw3FXzBYzVautFk73A3WGRHG82k3ThwShK413HVm7M55WP68833/Bw7cXjjzl4AEP6R1FeWfu74Gukk9sjry/lh9fOaMMz6iJla1A1WogehKL0zC56HUpVGDHQBP0HA3DK8eOxZr5Z73dhf0yZkErulhd49d15PPjUj5SUWnn8hV/48It/0GgUvv/oesaP7V9vnaLiSt78cH7g/n9CQonQdI/rtFe+/ArmU07usNdHCCGEEEIIsV++AfYNIaQC6R20/cYCXV+1Yr3uWpfoZbrHv5SF6CSla7dQtSsz2GUI0asVbsuEiROCXUaP4knbQd/BKcEuo1dSVE+wS+ha+TvBawblAPxPuiETULxFwa6ingrXQHJqrigbbCtf/RSvWwLAQgghhBDBoijyv/39nxBCCCG62Fa5KG1v9O+P0+rdf2NJ/Q5Ar585iL0N2P4zKR53nQ5UaQXV7Cx20Ji6IbONt01gSr8wpvQLazRkBqDRKEzpF0bBg1O59bA+TEwJbbbuO46onUMZnRiCz6dy7idp3PCDP2QWYtCw5fYJ/HL5qEBorqutzKzitp8z2FJgD4TMNArk3j+1TSEzgKn9w7njyD7MHBBG9n2T8T5zMO+cM6TJ8W4VLl6bg8sXvA6E8UYdb41LxnNy892Ixsz3d8Rz+XyctHwP5l+24KipW9dF/91/1YBoAKyqykaXq4XR3dMUgz9UWOTzsaMLjv2vcDk5q6SIfS/vOEKnY6bR//k+0tjwc77K7Q+HKdrGt+t0eZh29seNPhYRZuSB62fy27vnkFPTuWwvg16D2agjLMQQWPbTvJ2tfDZBULIS8lfTSD7uwKIqUF0Bvvohz44OUcXFhrNwyfbA/T1Z/gD1WadM5tgjxzQY//5ni3E4ar9HjX2Wg8W9ZSuO+fODXYYQQgghRI8R7Lms3vA/0TRVVdNpGN6a1YG7mLzP/TWqqpa3tFJ3rUv0PgfgWcniQBI6oE+wSxDigLBl8WZ0yft3VbwDTXJidLBL6JUU9QC8MmBJNiSMDnYVXavPKBTvrmBX0cDf7+0OdgkB1cVl5CxfH+wyhBBCCCGEEEIIIURPEZkc7ApEJ7j+4Prva15l/ZBNfJiBzP9NYfmN4/h9ezmmO5Yw642N3D07g1FP1+841JSRiZZW1xMbouepkwey7IaxvHRaKiGGxk9XuP3XjMDtjXlWjnpjI1+t83dH+tdBsRQ8OJVh8a3fb0d6fF4WkfcsYdo+3dlOHBFF+t2TmgzbteSxEway8LpxlFV7uPH7XVz+1Y5mx6+pcPD8rpJ27aujeU4eyc2p0YwKM3JhSgQFxw4NPJZm9X/mLlqTw2+FNtw1wRsNcOfguC6pL9VS2znN1ENPojvBZMaEv/jFLmcLo/dfoddLY3vZ6vGw1OkPoGoUhbeiYrDUOTOxyFsTTVMaJqxUVeWQcz9rsDw81IB7y22UrbqR+66bCcD23aX1xrjcPuxOD1W2HhQUrNoBjh5Ub2dwecHZ+ReG9np9LFtdO2/492J/d8Wbrz6mwdg16zN44sVfA/cPMRiZYAhed8jG2Of8HuwShBBCCCGEELW+2ef+0R247X239WYb1u2udYleRIJmosfyud3k/LYQe2H9A+jOsorAbVNCLPrw5q+IJ4TYfx67k23FbvQTxwe7lB7DfqBPLHSSAkdCsEsIjj1bwRQe7Cq6hs4E5qpgV9GAS9eHjT9vCXYZ9ez6c0mwSxBCCCGEEEIIIYQQQaY6rag7F6G663cTUe2V9QdG9+vCqkRXKLG5+GBlfr1lyzKrcLjrX7AtKdzApL5hzN5aBsBfOyt48q/swOPhJi3vnDOYPfdOZu0tB2GqaUOlUeDVMwa1ua7Lv9qB+c6l3PBDOjaXv5YQfdOnLcxJK2dhuv/zOijGxGcXDMesb6JdUiebvbWUe+fsocpZ/zWsemwaP102ir5R+9cV57V/chnzzFpe+Sev5cHAPWmFqN2kZdLToxJZf/gg3h/vvxDs1f2jAo8N+HM73+T5j+tH6jR8P7kvhccO5Yi4kC6pLVxX+3kxKT3zFBm9onBLmH8e6OmqChyd/L4f3EyHp/dttd3GjjCaeDmi9r0+0ewPgNpXljZYL7/IxqpN+Q2WP33HEWj36Uz4wMv/tKpOr7ebX4Ay5zdUVRfsKtqlosLKpZc+yEEHnceePa37TapHNYCta+bNtFoNH792BQdPG0q/lBj6pcRw9X+OYNrkwQ3GvvvJQsrKbYH714d2v/lVx19/d5vfdiGEEEIIIQRf7nN/gqIokfu70ZptTNhn8Vdt2ER3rUv0Ij3ziIYQwLZXP2XVzY8z+IpzmP7Ww4Hlq256jMkv3oMhMhxFUUg4bDLZP/8dxEqFODBUl1ay7p+tHDRxOO7NacEup3vTaMjNLgp2Fb3SnA/TuORiPYrXHexSupazGkKGgKN7BZ06RfIwFN+eYFfRQHnZ/p1A0BkyF60KdglCCCGEEEIIIYQQIsjU35+AHQtQZlwK0y+pXb70fRh3CkrMQACUfhNR1/8YrDKDbtmeSv71URr9oox8fdEIEsMNwS6p3b5aV8S5n2xr9LEJfULQamBLfjXJEQbCjFo0ClQ5vVw2NYF3lxcAMCrBwtB4M2+fPYQoS+0pBSmRRmxPzGx3bT9uKub9FQUNltv2Cb9N7xfK8AQLbq9KVrmTmBA9p46O4aSR0e3ed2tllTlQFEiJbHjM96wPtta7H2XW8dwpA/hyXQnD4kzMGBjR7v0+9MceHvwjq96yflFGNt82noOeW4fXp5JR1rDH1IvppdyYGo2iBL9V1+yCKh7dUczyMn+w1aJVqPaqZDs8gTEvjUnk5MSwLq3r3DX+4KQB6KvruafInGcJ4bGqCqyqSrnPR6K28wKXkRoNl4eE8k6dUNlelTUBmJerKnnGWokKDNfpuD4kjGNNZgDKHvsWy+yLUdTaCwfGx1iYOCqBdWmFpCSG0Sc+jPmfnIuupgug0+Xhxkfm8f2fzXfzq8vh9BBi6ca/1z4HlGyD2LaHcrvatm0ZfPLJHKKiwkhNTeGSSx6kvNz//s2du5zLLjutbRt0lHd4jc0585TJnHnK5BbHzVtUfy51gqH7fX68ubl49+xBN2BAsEsRQgghhBDigKeq6hpFUeZSv8vX0TTsKNZW+3YN+0ZV1fKeXpfoXXruUTRxwLP0TULRaNjz5WymvfkQiqLgc7vJ/3s5y66+n4RDJ1G8YqOEzIToQj6Pl63bixiekownOzfY5XRbyoSDKJ6/Mdhl9Eo5aQUUag4jwbsp2KV0vd3rof8QKMsIdiWtoupDUNy2lgfuy6xCN8wRmszd78qC2cvW43W50HbDSTIhhBBCCCGEEEII0UUikgBQt/yBUhM0U1Uf5G1GLUiDUcejVhXC2m+DWWXQvbO8gOwKF9kVLk58ZzMrbzoIjSb4wZ22cnt9TYbMjhoSwY+XjuS4tzYzf1cF4O9W5vT4cHrqH9/8679jiA3Rd3h9IxMsTT72/GmpnDoymv7Rwbuo18yX17Nsjz9YcUhqOHOvHI1Op8Hn83HMW5tweuu/TmV2D5d8uTNwf1r/MN771xCGxTf9PBtz0w+7eHlxbcegaIuObXdOILomQLP9rkkAPD4vi3vn1L8Q221bCvi5oIr7h8VxaEzXdAhrzO5qFxesyaHSUxsarPaqaIC6McJZcaFdWtfP+VVsqPQH9G7ohp2L2mK3pzawV+LzdmrQDOCusAicqspP9moq6nRXui7UHxR82lrbGTPN48GoqdOVzObA9kcJobNq5ye0Wg0rvr2oyVDkN79t460v19dbpihw/YUTGDc8AQCNRkGrUdBoFMYOi+veIbO9SlejRgxG0Xf8PFJZWSXvvvsjRUVlzJgxllNOOazVoVObzc4PP8wnLi4KjUbhxBNvwuVqfALu6KOntq0wVQP2zLat0wU2bM5i2476XfW8qur/oHUzjiXLCJWgmRBCCCGEEN3FHcDqOvf/xf4Huu5qZB9t1V3rEr2EpuUhQgSfvaA40BpeVVWyf/mb6PEjmfHRk1hSEvFYbeTNXcL8M66nOiuPPV/OZsW1D5H+4fdBrlyIA4+9rJI9Tj2a8K6dKOpJtpc7gl1Cr7ZpVXmwSwieajfQsZMhqs7IirQBVJmGtn8bxggqjcPYnD+UL7808/Q9ZTx5cyYOS2rbNhQSA66slscFwT9fdr9wrcfuIG/t1pYHCiGEEEIIIYQQQogeT/U4UR21nWNUeyXqzkUw6TyYdjFYIlHdTtQ9q1B/fRDyt0LuJtQ/n4ZlH4KzYdeaA0ndLlvrcm08uyAniNW0n1Ln+LBRC3EWLf86KJbPLxjK71eOxqzXklVe2xWr0uFtEDID+HN7eafUNyTOwjMnD8Cib3iaws0/pAc1ZPbN+uJAyAxgUXolUf9bhsPlI/WxVfy9s7KZtf2W7ali5FNr6PPgcn7fVtaq/b6xJK9eyOyBY/pS9NC0QMisrruO6stvV4xqsHxBSTVHLtnDZety8KnBuSjaHVsKAiGzWENtAMoH/KdvBPqaj+YHWeVdWteHdfa3ye3iuaoKTigqYGheNkcW5bPF5erSevbHbIc9cPv44kIcnfxe6xWFRyOiOLKmS9leA7T+61kfbDAGlhmAg/T1P7OV785j31OSGgtB+Xwq/3thEd//uT2w7NNnT+KSM8egqvD2VxsYMSiGS84cw8Wnj+aCU0dx3skjGT00bj+fYRfKmYuqdvzpWVdd9Rj/938v8tRTH3Haabdx5pm3s2VLeovrqarKiSfeyAUX/I9jj72OWbOubRAy+09YOFE1HQDffruN5914FcDT4rCutGt3Icee/Uy9ZaGAWdM9T5tzLl0a7BKEEEIIIYToLaL3dwOqqq6hfoDrLEVR2njiYy1FUSYAE+osektV1Zb/MddD6hK9h3Q0Ez3CvGMvI3L0EGZ88AQbH36NDQ+9Cvi7moUM6MPXCTPx2iW4IUR3Ubo7l5CJw4hy7UB1OFte4QDTJzac7KhwKstanpQUbbd69laOnBCN4u2Gba86W1EGDD4ICjd32CYdhhR+f+0ffgeufOlIEtjS4jo+cxzlnliydrnYtCCL9JXbgIZX0X3zno1c++hgdNX+SXR3SF/01Tmg+hqMBQX6pKB49jTyWHCVu1JZ+fnsYJfRqN1/LSNl6rhglyGEEEIIIYQQQgghOtvWP1EXvg6nPAKxg1C/uQkKd/gfi+oH5gjUV4+HA/G4aQvu/63hMccn/8rm/45ICUI1+0enVXA/NZMdxXaGxpkbDXXsKvHPqR6aGs6Nh/Zhc76NiyYlUFDlYmWmFY9P5cwxMZ1W482HpXDzYSmsy7Fy6ntbyK6oDfpMeWEdK246qEP2U2x1cffsPbxbEyIcEW9mSr8w0ksdrMux0TfSgE6jUFrtIbfSha9OZmdEvJmthXaq3T5C7l5Sb7srbxpHSoSRlxfn8ubSfNxelUGxJtbm2AJj8qvcnPTOZvLun0JsaPMdl679blfgdoxFx/+O6d/s+FnDovj6omGc/ZH/mLtJo3BEbAi/F1r5MKuCQ6ItXNw3stVdjfaHV1V5Ib2EF9NLyXX4QyXPjUrghtQY0qqcTF6Yjt2nsqHSyZX9o3g1o4wVZfYWttqxjowN4Yd8f4DwN6eD35y15xTs9Hg4vqQQ8J84Y1AU7KpKuKIwQKdjt8eDD3gsIpJTzcHrFgfwQlUlr9tqg5AmFDq+52DjjjOa+d5eHbh/Y3kp38bG82l0LNs9HjK8HpK0WuL36bDmyy/D545Coy9pdvsnX/UtcxbWnre26LPzmDkxhbOOHUZ+kY05C9M59PzPWPvDfxg1JLZjn1xXcZWAtRTCIjt0s/Pn+y9cP1avZ6vHw/ff/8333//Nv/41i5de+j8A/v57FenpOXi9XrZvz6Sqqhq9Ts+CBWsACDUYsLpcTDUYeCUyht8cdsbq9Yw3GJms1XFteSmPPvoePp+K2+3hkvNOZcRBA1GUJoKOqh6s3esiiA6HizMufpn8gorAMouiMDs2IYhVNc+xaDGqz4fSTYNwQgghhBBC9CCRHbSdK4Cj62zvTWBWO7f1dp3b6aqqXtUL6xK9gKJ28RWtFEUZBWzae3/Tpk2MGtXwqltCuCqtlG/cRvrHP7Lr/e/wudxEjR1G2YaGJ6oLIbqnhJED6ROpx72h40IvvYmuXwrupERKvQp2pxu9TodOq0GnVdApoAJOjw+Hy0O13UVFWRU5GXktblfAnS8ehL6qe3a+6nTRyeAp6phtKRrmr0hk0cdrAouGHzqI4y5IIczh/3us6s04DUmUVZrI3mVn/dx08tIKmtpiA31GJHLwv4axc20xq3/czHHXT2fykN0NBw6ZiOLd1XB5kHn1sbx04TqqCrvnFZ/7zhjPpf98EewyhBBCiE61efNmRo8eXXfRaFVV5R8hokvte8zz+9BkBmubP6FUNG2n18Xp1npdg+V7LYToVWSuTHQUVVWhIhd14y+QvgSK00FngPAkKO1+F2zqrrS3LW6wLPN/k+kTYWxkdM934jub+S3N323r4/OGct6E+KDWs6fUQepjq2rv3zuJlMj2dzbbkGvl+YW5zEkro8ja9mClXqvgeHImo55aTVphbShKAX69YhTHDotqdL11OVYWplewrdDOG0vzAVhx4zgm9g1rdn91P39Vj03DYmjdtYLP/ySNL9YVN/rY9Cgz30/uS6yxc6477FVVbtyYzxt76ndtmx5lZs60/oTq/MGIH/MqOW9NDk6filGj4PSpnJgQyo9T+nVKXU25bG0OPxZU4VWhyuMjzmxkRkIcP2Vk09qzZd6OjOFYs7nlgR3o7JJCljfSce14k5mnI6II76IAikdVuaKshHk1Ib1ZRhPvRrcu8BX/8TUY+lY0O0Yz7Kl694+e0Z/LzhpLUlwIX/+2jVc/XRt4zLft9jZW341o9DDoLBTF2yGbc7s9hIUditPp4vXIaFK0Oh6vqmCZ2xXobKjRaPD5Gru4o1+oorAsPokcr4fhOn2jAdVLS4uZWyegOUKn56/TTiDx6/813KCqg6rd4Gn+Pe8MVquD1977i6UrdxITHcp/zj2YsSP78tGX//DS23+yY1f9ucvXIqM5yWzp8jrbIv6nHzBOmhjsMoQQQoheQ+YTeweZj+tYvW0+TlGUs4CvG3loYk33r/3d/gRgdZ1FV6mq+lYbt3E78GSdRYP2t2tYd61L9HzS0Ux0W+vve5Hdn/2Cs6g0sExCZkL0LAVbdlMADD9iCvqVK4JdTrfjycxGycymueuChu5zvyo6hspS6YTWEq2ne4Z+ukRpLqSOhOId+72prYVDWPTxgnrL0hbuIm3hLoZMH4DH5WX3mt2gNhIMa6Wcrfl8+UB+4H5S/30nahUYMqFbhsxUjYHvninstiEzgKyl67AVlRISt99dwIUQQgghhBBCCCFEd7NrMeqfz0B17VwaHpeEzNroxkOSeXFRLlFmHcUPTwt2OZ3G5vRy4efbAiEzgAs/2879v2eSXtPl7MppiYQatRRUuXj65IEkhBlIL3Hw9N/ZDIox8d+ZSVgM2qZ2AcDWgmoemZvFjP5hXHtwcot19Y828fVFwzn7ozQAxj+3jqKH2vc+3PVrBk/9nd3oYxa9gqIouL0qHp9KnwgDqgqJYQZiQ/Ssy7USbdHx3X9GALD59om8szyPD1YUEmXW8fF5w7AYNHy9voijB0cSYdbywcpCdhQ7+O+MRMYmWTioTyhvLvVfMFCjwPg+zXfBGvr4qnr3WxsyA39I0OlV+X5j/W5RGmBpmZ2bN+fz8YT968rnU1U0isJOm4t8h4eZ0f7j91esy+Wj7NogyUUpETw3OpFIff3PxqlJ4Ww43MSFa3JYUe4P7f1TUk1Xe3d8H95tZPmW/qm8nlFGtEFLpduL1auS43CzstxOmbt+OOc1W1WXBs2+rrY1GjL7PiaOiYauDcHqFIX3o2PZ5nazzePmUGPrg6Ca8KY/0x6Pj+Mu+6rB8rlL9jB3SS/8O+ZzQ3UFhOw7+9t2S5du4JEH38PpdKEFUnU6RugNfBETxwa3izvKy9jscePz+Riu0zNSr8etqozQ64lQNCxyOljtdnF3WAThGg3hmqZPzH0iIopHKyvI93lZ6nKy1eNmXkwY5+87UDVAxTbw2RrbTKcqK7cx47hHSNtRe8HWdz9Z2OT4a0PCun3IDMD+62wJmgkhhBBCCNEIRVEia25G4+/kFQ2cDVzZxCrzFEX5Cn8IrRQor/l/VFUtb+1+VVVdoyjKLODPmkVvKoqSrqrq3FbWfRb1w1wTOyLM1V3rEj2fBM1Et1SdU8D2N77A52x48FQI0fPsXLqZEUYteDvmCm0HLEXBWl4V7Cp6hM3Z8YyOq0TxHaCfOU/DKw62ld2SyjcPL2jy8R1LM/Z7H42xVnggDlRTJEpSKuitKJ72hcwKKgbx5Z3/cMkr0wnTNh2Gs2v6YdRWoXGXNTlmX05tCl8/vIv0Je0P2XUJVWXH7AUcdPHpwa5ECCGEEEIIIYQQQnQg1edBXfRm/ZCZaJcnThzAuOQQpvRrvvNUT/fTllJ+3NTw87I3ZAbw1rLai4KFGbVEWXQ8tyAHp8ffHeeFRbnce3RfLpuawPYiO28vy2dOWhl5lS5cXhW3t7Y/1BdrixiZaOGIwZEt1nbG2NruSKXVHgY9upKPzh3KjIHhjXbY2cvr9fHQ3CwSQ/VcMzO5yZAZQNGD0zEZ2tYB6vKpSVw+NQmA5XsqOfTVDXgaaQ701N/ZaBW4bGpi4DWMDdGjaabj1CGvrGdXndc+574pbapNo9HwzcUjeGtpHtd86z+GfkGfcK4eGM3BizP4Nq+K1zxewnTNBwMb4/apXLk+l0+zK5gQYWJ1hQMVmBUXQrxBx6c5FSjA62OTOCTGwtAQQ5Pv06AQA3/P6M+pK7KYW2yjvLEXMEhGhpt4eWxSo4/lOzwsLrXx79U5AJR38XzTJ9UNwzrHGU1dHjKra5hezzC9vk3rVL63kh1HRfPn4i1s3VXC579sbXJsqEWPyaijyubC5fai7tNurmTFDe0pu3spWIw68HgUpbW99BoqLi7nmGOuw2r1hzYfCo9khL42KDZWb+Dn2HiWu5wka7UM1DV8zy5sQ9gtXqvlxSj/xQyfqqzgFVsVT33/O+e9fiOgAa8OxVMF1WmAp13Pyec2U/74bFS3l+iHj0Gh6d8Jn82MYlJRtLW/n/c/8T1pO/JITozk1muPY836PXz6zdJG15+gN3BrWHi76uxq1XN+I+K+e5v9OyiEEEIIIcSBppHOW60RiT+E1iCIpihKm7p/qao6V1GUicC8mu3+qSjKHaqqPtXceoqiPAnsbdOdDpzdEV3WuntdomeToJnoljY98ZaEzIToRQbPGAUrpKPZ/tJGR+GrkqBZa/zw/BI2TxvA8f9OIdydheLsvh2nOkXWVkiI26+TTDKz2jZZ2FG+fngh0SmRlOVuo+94Kxc/EtvySvtQdaEs/FHHgtd/BeDjW1Zw5sPTiI/KR/HWn5wtd6by2W3LiOoXyTl3J6F1lzS2ydpto7BjVz++vOUPVG/7JwK70vaf/pKgmRBCCCGEEEIIIURvs/l36VzWQQw6DRdPTgh2GZ1uVEJt95ZjhkXywqmpWF0+prywrtHxbyytDZ0dlhrOnjInGWVOrv1uFw/+kUmh1d3iPovqjPF6fVS7fYSZGp6iUGR1EaLXYKvpIpVR5uTQ1zYGHtcqcMKIaHaV2NlR5MDta3hs9v7fM5usY8aAsDaHzF5dnMsNP/gv3hxj0VFS3XyAwqvWD+pdOS2xybH3/7aHJRm18z2XTUkgMbzpjkLNqRsevGdoHINDDCQadeQ7PWyzupgU2XIXLlVVKXR5MWoUIvVarlifyyc1HctWVdSGOf4sqj2+fnHfSC7vH9WqGo1aDVcPiGJucdd3OmqvRJOOs5Ij0K3JwaOCtouDHneGhfOv0mIAdiT2wdjDgiYlXi+f22389M6PpL3R8m8FQLXdQ+XamwGoqHIy4Ig3qKhyApDx99VERbS+k1q35akElweMbQ+A7nXeefcEQmb/FxrOBZaGnRN1isLMNnSea60rQkN5v9rKhsIiPhh0DseYLaheDwlf34O+T9tDpCoKzvXVFF32MDj877VuYCKhZ09CE+ZEof5vvTtLQ/G1z6EJD8H5yFn8vnAFW7fn8fLb/ov0v/rUhZx24kRUVSWvoJy/FtUGG6MUDS9HRXOIwdhjglvezEzcm7dgGD0q2KUIIYQQQggh6qgJYkUpivIm/vDak4qiXAW8CczF3zENIBWYVTMmsmbZU6qq3nEg1SV6LgmaiW7HWVLGzne/CXYZQogOZLFW0LopBNEcJTEe9kjQrLV2LMtgx7IMTrx2GhOSdgS7nK6l+iC0z34FzTIaubJtVynNLgcgc3U2hWXjSAhvfUczFYVPHyqp12mseFcJb573K3qznkOvnsKoQyLwehTW/V7IP+/O9o/ZXcqb2RX898W4pret0bN0bgRzn/u9fU8sSHb9sRiP04XO2L4TFYQQQgghhBBCCCFE96L6vKgrPg52GaKHGZscwj1H9+XRuVlsyqtmQLSJnzfXHgc+emgkv185mmV7Kpn58gYAksMNvHzGIE4dFY3Lq/L2snwe+TOrVSEzgHM/2ca5n2yrtyzUoOHZU1JJiTRwxy8ZVDi8ZJU7m92OV4WftzR/zLpuECzrf5O57/dM3l9RAMBV05O485fdrM21UWJz88G/hzI6qWE4Y6/yak8gZLbvtvdSAItBw0PH9uP7TaUs3l0J+ENpV0xL5MHj+je5/UfmZgVuHz00krfOGdLsc9trTXYVJ76zhUqHh8MGRfDLZSMpsPov3mrRKgwJ9Xe7itJryHeCtRXdwwqcHk5bkcnKcgc6Bc5ICuOrXP9c1EPD4hhoMRCm1/DY9mJWlNsBGGjR88LopoN0jfm0JrgWou0ZAY+9apr5kart2lNrImq64YUpCq05sv+3w87FZf4L6X0UFcuhRiOaIIRptrhdHFdciBZoTQ+4Tb9eyuJV2Vx9/x/4VBXdiKcIMRuostVelHjjL5fSL7lndKBqlcLlqCkzaO/b4/XWfq/L1K7tEBil0XKRJZTXbVU8n53NUTHxKIpCxXM/EvPsaSitetdr2X7KpOzuN+stq3zuCyqf+wLd0H5EXHc6hoP6oFa5qHxvHtXf/g3AXw47/5n4V4PtlZT5Lzxqt7vqhcwutoTwQHhklwdGO4J99hwJmgkhhBBCCFFHTYeuZrt0dRVVVa9SFOUO/IGtf9F0p7U1wJfAW6qqlh+odYmeR4JmotvZ8fbXeO2OlgcKIXoMd3hksEvoFbL1TU96iqZ5PT2j61SHy0qDUDO47e1a/ZgjKxk+5Qg+uvNvCOJL+NaFs7n4zePp26egQTeyfamKlvSMvqQv+a3Rx912N/Oe/4d5zze+vlanJb98EJXFHqylTsbMAL3HfwVaVWPk7++NLH578X49n2BwWavJmL+cwcceAvivTrvhkx9xVdkYdc7xWGKjg1yhEEIIIYQQQgghhGiTHQuhPCfYVYgewOH2EXLXEgAy7p3MldMSeXRuFrmVLix3LgmMSwjT805N2Gla/3C+vHA4u0sdXH9wMia9P/Bi1Clcd3AyF0+K5+9dFXy3oZiPVxdxyMBwksIN/LGtjENSw+kXZeLVf/KarMnq8nHVNzs77TkflBxCcoQRV52Q1XXf7aLKWRuAmPj8WpxPHdzo+j6fjyNf39DsPjQKuJ+uXf+mw1IotrrYVeJgav+2BWJ+v3J0q8ZtyLVyyCsbcNTMefy+rZw3luZz0aR41ubsptqrsqqsmlSLgTynPxhn0bbcxe3JHcWsLPfPzXtUAiGzkxJCuXto7YXZTowPxaPC+koHI0ONWHSt7xBX6vLwS4F/uzOjLS2M7j4e3lYYuD3TYOzSfW92+8OcfbW6VnVf+sNZe37FRWXFRCkarg8L4zJLaJd1b6rw+TijpAjwh8wU4KmIKI41mYnUaDisMJ/d3vqhzdEnvlfvvs9HvZDZZWePZdSQ2M4uvWvZs8ED6Nu3+vvv388559zJ8uWbeMdm5QijiUM6oXtZU64M8QfNNrrdpHs9DNLpsf++nBK9nuj7Tkdjad28pDtHQ8WTnzT5uGd7JiU3vNhguVdVuaomVLmvy298n8df+JVdu2u/u19FxzHN2LXf345UPXsOEbffFrjvq7Zj+/JLFIMBy0knoomICGJ1QgghhBBCiJqAViD8pihKJP6OYQDpwQpwdde6RM8iQTPR7VTt3BPsEoQQHSxzazb9FAXUAzTw00F27ZQTB9ojLOoA7eLkrIa+E6BwY7tWV7xO+pu3cu5Dh/P5/+Z3bG1toHpVPrh8NnqznsOumcqYw8MI1eejeOtPVHn08fz8cjEbf2k8ZNYaBdsKeeuCXwP3FyaGMeGs0UQkWFjy4XqKdha3e9vBtvXbPwJBs7zVm/jhIn+n65zlGzjtw6YuWiKEEEIIIYQQQgghuqWyzGBX0Kv8sKmEd5fn89bZQ0gK713Hk79aXxS4fcuP6Xx98QhePWMQ1363K7B85oBwPjpvKH0ja0/EP2tc08GOMJOOU0bF8FtaGQAVDg/zrx0beNzn8zUbNGuKRoGLJsVz79F9GRhjJrvcyYZcK0cPiaLC6eGMD7ZSYvPw46UjWbCrgqn9QjnstY1UOGoDZP8+KJZPLxgOwMPH9efTNf7nXzdkBuDxgdXhIdTkP12i2Ori5cV5hBm13PFrRr2x628dj8vrY1eJg+cX5LA804qxkZBVbKiB2NDO+fz4fD6mvrgel7f+PNvzC3LZftdE/u/n3Xh8MG1xbe0WrcLQVtSztsIfUEq16Emv9oeb9Ao8PTKh3jhFUdArMCnS3Ob6b9yYj1v1B49eHZPU5vW7yg6rkwe3FbG5ykmuw0OJu/Zzc7Glay8Gme3173uLx42qqi2GxY4wmvi0uvZifWWqj4cqKzjTbCFK0XZqrXvZVZXqOnPBGYl96tW9pyZkNqhfJLsyyxvdxtbfLkenVfB6VRQFBvWL6tSagyZvIWrfw1GUtnck69cvkSVL3mP8+PPZsGEHN1SW80d0HHHarnmfc33+z6YRiNfU7tP+y2JyflmMfuxgwv97KqaJyShmJwr1n6PqM1HxymKq3vqhXfv3AqEaDU6ff7sXWkJQgB/t1VSoar2Q2XUhYT06ZAbg2b4dV1oahuH+v222zz6n/L77AXBv2UrUow8HszwhhBBCCCHEPmoCXGuCXce+umtdonuToJnoduJmjGfnu98EuwwhRDtEjB9JlVaD2WJC3ZNH9R5/MKoipxDtUZPwLl8Z5Ap7DsVsxjt2NFY0VDs9pKfnUpzbc0MuwRQWpglqR66g2rUe+g+C0t3t3sTgyO1MO3ssy75u/gqunc1tdzP3ucXMfQ4UrcLIY4Yx8qi+9Bmix1oOH183D2eVs0P3WZlfxfxXlnboNoNl3QffM/2W/xA7fBDxY4Yx9caLcZRXAAo7f1vI4OMODXaJQgghhBBCCCGEEKK1UsYFu4Jew+XxceYHWwFIeWgF3mca73LVGWxOLxvzbcRY9KREGjDrOz4kcMzQ2pDGTYf2AeDqGUl4fCo3/pAOwDv/GsKA6LZ1w9lVbOetZfkA9ImofxK/RqPhq4uGc9evGVQ4PNx1VF8en5dFsc3D+RPiuOHgZKa+tB6AlAgDb5w1mFlDo9Bp6wdpUiKNpNSE3+L0BhZdV/u5HxJnRnfb4nqH/gdGGwMhM4D+0SYeO6E/D/+ZRUKonusPTuK6mckYazq5/bG9nJNGRnP37AxeXJSLr5F5hNuPSGF0kj9gNCEljIf/zALA6Wl7OKSuUKMGq7N121iaUcFhr25kb8asf0QIBVY7Dq+PcocHRVH490FxfLKmqN56pyWGE9nCZ2p3tYvl5f6Luu0NmQF8MiGFIaEdF87YVHPsfoBFz8CQ7hnmfHhbIQ9ub3weboLegEbT+g5uHeF4k5nnrZUAPFZVwT3hkc2OP7hOx7UHwiN4oLICgCKvjyhN1wSQErVaNBCIFe0bjovX68l3u/nv+eO5+T+T8Xp9rNqUz/Rz/F2toiJMDOobia4N3fJ6LEe+vzNpVPuClxqNhi+/fJzjjruePXvyuKqilFcjokjSdv4pYD/aqwE42mQmrJHvhXvDTkquftZ/J9RMyEmHYD5iLPoRCfhKqim67CF8pZXt3r9BUZgTm0CFz8cwfW1buPvDI/ndYedPp4N4jYZZJjOT9d3z96atyu97kLgvP0NRFCynnoxr3TrQ6/FVWbH//TfmI44IdolCCCGEEEIIIXohCZqJbifpmK6bwBFCdAxDTCSe1BTWrtwUWBY/MIXQOmOyMopI7vrSeiTd8CEsyKmieN66YJfSK5hNPrC3PK5XUr1QUgLmcHC0c9JG9XH00Q52r4ujYEdRy+O7gOpV2Twnjc1z0oJdSo/hc7v57cbHOP+3d9AZDYT3TWT5ix8CkPH3cm5In4umi652KYQQQghxIFAU//9E+8hrJ4QQQrQgaTQYQ8FpDXYlPZ6+TrgpuQu7mS3JqOS8T7aRVe4P4CgKPHvyQG6sCYN1lMRwQ6PhuesOTuaMMTEAJEe0PVA0f1cFexsXvXBaaoPHzxwby5lja7ui3bTP8/I+czAujxeDrm3HJAurXNz/e2Yg5LbX5tsnMDze0mD8HUf25Y4j+9ZbFmHSUuHwcvZHTR9fDjdqKXl4aoNw0SWT47nt5wx8Kvy9o5wjhkS2uvbleyp5fUkez54ykFsP68ODf/hDa7tLHAyMqR/0+25DMT9sKsHtVflqfW346SijifctUZxoc7ERH6XVHnYV2/nwvGGYDRreXlYQGPtZTgXDQvRcnxpD+D6BM1VVWVhSzdUb8nDtk7B7dHgcZyaHt/p5taTY6WFjTdBsTFj36yy0uszOSSsyKXL5uzRpgL2/BOMNRg41GrnGEtrk+p1luF7PySYzPzvsvGmz8qbNypK4RM4vLWa318MQnY4dHn+HsDPMFk4y1XaaO9Jo5jeDnWUuF3847QytE8bpbI9GRHJXRXmD5S5VpcDtDzMmxvrDm1qthqnjksleeA2PvL6UC04ZdWCEzPYqWoRqOg3F3L6/PcOHD+DLLx9n1qxrWVVl46TiQhbFJWLp5FDkcpf/+3xwazqFWe3YvvgD2xd/dGgNiVotifvMaekVhZPMFk4yN/xb0NM5Fy+m+tvvCDnrTLRxcaDRUP3lVzWPLcK0fClKF37PhRBCCCG6E5mP2z/y2gkhmiNBM9HthKQkMvHZO1lz+9OoXm+wyxFCtMDcN5Fsl4eKOiEzgMLd2cT37xPoalayK4f+00fi3rglGGX2GL6pk/lx4SY8bk+wS+k1jLpe/loqGlRFQfE18TezqgTCh4E52n/fUQH2srbtwlnJmTeN5rVr/97PYkUw7fpjMWk/zGXE6bMo350dWF6Rmcuu3xcz5ITDglidEEIIIYQQQgghhGgtRauDE+5Dnf2QhM32k6IoOJ6cwZ4yJ4Ni2tbVqz28PpV7Zmfw9PycestVFW75aTeLdlfy8XlDO6W72b7aEzADcHt9vLfCH2hKjTExONbcwhqNaylkpqoqJ7+7hTlpzR/PHhBlbDRk1pRPzh/G6e9vxVMnYDUmycKzpwxkYp8wKhwe+jfR4e3imqAZwFfri9mYb6PQ6iazzMnXNYGwKLMOj0/FYtBgdXqxuXyEGbVUOb24vCoLdlXy06UjAkGz7cX2QNCstNrF0MdXU2ZveLz/ptAwbgmLAGCwXsdGjz+0Y6sJSN1yWJ96QTOA+7cX88iOYqZHW0gw6tAp4PbBynI7e+z+9fub9fwrOZyndpUA8OiOYu4YEtfq17Ml263OwO1Xxrave1NHyKp28eTOEnyoROq0WL0+MqrdzCm0BjrjGYBl8YnEdkFXqNZ4JjKKn/Nrr6Q4o6g2YLk3ZAbwnb2a72q6TAE8WlkeeHy7u7ZTXVcIVWpDTitdTibXdFrTASadFrvHi81ev6bkhDBee+CYriyziyg1/2ume2HWj6gDzgatrma4D0VpfcfEqVNHs2zZ+4wadQ5FPh+FPh8DOjloNlinZ73bTZZHzuXpSuX3P4jpiCPQxkTjycwMLPfmF2CfPQfLqacEsTohhBBCCCGEEL1R9zhCJsQ+Rt5yCa7ySjY+/FqwSxHigKMLMeOxta79kykxllyvSkVBcaOPq30TYU/tZKlVb6H7XasweBSzCcVoRNEo0K8vBVoT/8xbi38mQXQUvdK1k2idTTVFgMeB4nFSah7FT+/voM/QWGZNyG16pZxttbc1Ohg0Fgo2tmm/el3rJ7ZE9/X7TY8x6JiZDD7uEFa++mlg+Zq3v5KgmRBCCCGEEEIIIUQPoqROh1MfQ/3qhmCX0iMtyajky3VFLMuoYlW2lVCjlopHp3fqPtfnWjn53S3kVLgAOHtcLK+dOYjschfnfpJGWqGd7zeWcM03u/jg3KGdWsv++GBlIcv2VAFg0bcv0OB0+8irdDFgn3Cf1+vjnt/28Nz8HLxqEyvvI6mNnehOGBGN/YnppBXa8fhUhsdbMNTpohRpafoUisnPrw/c3rer2l4FVv+cRElt7oeS6tpQUGa5k/M/qz1m7/b6j73vKKpm1FNr6j3vCLMeXD5usYRySWhYYHmet/Z4/eDECMDLy4vqhxcD21dhYd1iahg1Cpf2i+TeoXEkGHVckBLB2AXpVHtVzlqZxTeT+zaytbZ7fKd/DlEDxBo6P0DZmPcyy/jvhjw8zXymNMCH0bHdJmQGYFY0vBgZzY3lpW1a73enI3D7aFP7gqDtdYSx9jv9dFUFX8XEA1CpqthrgklDB0R3aU1dRSUMBX/425UdTtnjs9EPTyH6+v7NrkXGV7V3DbGofWehaL24XG5WrtyMVqtlypRRDTos7hUXFxW4naTt/O/YDIORb+3VLHU5Wx4sOoyvrIzy+x8g5pWXMB99NK4VKwOPWT/4UIJmQgghhBBCCCE6XPc5SibEPoZffyFbnnkPr93R8mAhRIcIGzmIDVvTSRzSnxiXm+o9zQRXAGVwf8oWr27y8a3L1jM8OR5HbiEAe9bsYJjRgOp0dWjdPY0mMoLMvgNZvWwzqDWTe5lpNY9KyKyjaX2tC052fwq7nCP57H8LGTC2D/3H9GfBJwsByN6Sz6GHT8RYubvJtVVDCKrOhKa6BHXnemwpk7A4d6NxlAMtz9grSitn9UW3VpGZy8KHX+Oox29l4JHT2P3XMgD0ls6/WrMQQgghhBBCCCGE6FhK3/GoKeMge33Lgw8wVQ4Pkff6j33tuXcyKZFGVmZWMTElFI1G4b0VBZw/IY5XFucBYHV2fmeWJ/7KDoTM7jgyhUeP74+iKERb9Gy8bQI3/5TOK4vz+Hh1IWeOjeHkUTGdXlN7pBXWhpbeOWdIm9fPKncy4JGVLQ9sRIhBQ9odE/lpcwnXfpcOwH3H9GvzdjQaDSMTQ9q0TlaZg4yyxoMVRq2CsyYhFmbUMDoxhDXZVqIsOgqq3A2OwG+u06Xqq3XFnDQyhrM+TAuEzP7v8D48cdJAKjZGYf1jbYP9nWO2sKwm5PH4n5U8fGwIJ4+K4bUlBQ3G7uu4uFCuHRjFoTEhhNQJ2I0MNzEy1MAWq4s5hR3XKTHX4Q/ZReg1GDq501JjXt1dwo2bal+XCEWhUlVR8c/IJWq0vBAZxXRj9zxGfrrZwmkmM7847Cx1OXkgPBKDUn8ucanTwb9KiznBZObG0DBOLymiWvV/mE4xt77bX0dwqLWf9hG62hDoyprPq16v4eCJKV1aU2dTlVDKX9qC7dvFhJ5/OD6bk+oflgLg3ryHiMsnojU3ftHWwDYIB8WB4ipGTf8ep+VIjj3vFhYuXAPAEUdM4plnbiI7u4CUlAQmTBgeWNft9n/HFMXfla+zzTD6Lyu7we2iyucjLAjf6wNV9XffYzntVMKuuAzbF1/gSffPCyvmrg2UCiGEEEIIIYQ4MEjQTHRbprhoEg6fQu6chcEuRYgDhs1iRlVV8nbsIeaQidBM0CwktS9pqzY1uz2fx4OrTzzUBM2c1mp0E0fhXr2uI8vucbbHp7B56eZgl3HAULy9I9i4MK1fIFiWsT6HjPW1VydVfSpP37Sa6WeOZdi4SOLDrehtOSheN7awofz+QzFbFuxE9akMnT6QsrxKijJmA6DRaUgaEs9Bx6YyaLiBcLJQXLYG+/f6ZKKot1j67PuMvfBUZj1zB+9MPYeUaeM4+e1Hgl2WEEIIIYQQQgghhGgHZfjRqBI0a2BOWlng9r8+TuPJkwbg9Ki8uSyfq6cnctywKNbn2ogP1VNodXNYanin1qOqKj9sLAHgldMHcc3MpHqPazQKz56cGgi+XfrlDtLvjiDM1HHT+ZUOD/f/nsnHqwo5akgkX1w4DEVp+8XvKhz+UN6V0xKZ3C+shdH1VTk8bQ6ZLbthLH9sL+e+3zKxuXw8/GcWn6wuDDx+zLCoZtbuOElhBpLDDeRW+ucchsaZuWpaAuccFEdyhLHJ9QY/tpLdpf6QzXi9niKvj2xfbbBxbbaVd5bnsSnfH+AbHm/miZMG4g0dgvWPPxvd5lmWEB6qLKdcVXnsz7VsK0nhjkNieOm0VG74IT0wTgt4AbNGwa2qeFRYVGrjsRFxWLQN3/uomo5jHrXxC89l293cv62Q4+PDOCu5dd+ZK/tHce3GfMrcvpYHd4LPcyoB0APz4xLpq9Nh9fnY6XFzkKHp9607URSFk80WTm4iNDbdaCIzyR/emm2vDoTM7g2L6LIa93q0sgKABI2GW8NqPyO7Pf4w1MhBsdzx9HyOPWQgR88Y0Og2SsvtHHfZ1xj0WsaNiCfUouf4Q1M5eGIKOl3Lc1Uej4+CEhtJcf5gcWfyeaMpvORLPJlFAFg/nd9gTN7xLxFy5sGYjxiKfnAoGrMVRXWgKnpsc6xYv/wHz+58NDHhGMcPwrkunZczXmBhVWVgG3//vYqJEy8I3D///OO5+uoz6dMnjqIi/987VYUKVSWyHb/rreVWVX61+4OyXmCL281UY/C/R15V5U+ngykGA9Ga4HRO7Cpld9xF4vx5RD7yEMXnX4Rh0iRi3nw92GUJIYQQQgghhOiFJGgmui1VVanYuivYZQhxwNCFmNm5dmvgfl5GDpEaDaqv4cSPLiyEfJ8Xt6PxKzfWtXPlJkYfMonqRasAKPdqaNs1InufzWu2IZ3Luk6+K5n4MBPa6uIeGzpTTREs+GRN82N8Kku+Xs+Sr/33NToN/cf0IX/XWuyVtd1Bty+t3/XM5/GRszWfnK35AOiMOqb/ayzjZ4YR7t6F4vPgCUnmy8eaD5aKnsPn8fDTZfdwycJP+L/CJRgjwtp1QokQQgghhBBCCCGECD61eHfLgw5AJ4+KDtw+ZGA445NDibt/GdP7h3PNjCTOGhcLwE2H9umSenaVOHDVtKuKsjQ+Ra/TKhQ8OJWE+5dTWu3h5y2lnDchvs37UlW1wfG+PaUOzvxwK2tz/BcZm7+rnN2lTlJj2t7FyVgTUCqv6VTVmno+XFXIZV/uaNX4UIOGrP9NIdxc+zr9vq08cPutZfn1xk99YR3LbhzX6cc4dToNWfdNwerwsK3IzsS+rQvZ7Q2ZAcwymDjUZOb0kkLcNcu2FNq56mv/nLgCPHnSANTQPhS+sKTZ7X4TE8fJJUXYVZVv12Tz7Zps+kQYMOs12GtCXd9N7suJif46l5ZWc8g/Gdi8KhMW7mZwiIFbUmP4V59wPKrK1evz+KfUHyCx1OlQtM3q5L8b8sh1eLB5feQ6PHyeU8msuBAi9C0HOqprPvfBupTd3jxdqk5HX53/MxWq0fSYkFlLfKrKl/ZqwhWFE80Wri4vDTx2WUhol9eT4fX/LozSGwiv8znqq/W/9uvTClmfVsiz763Etfm2QHCssMTGuq2F3P/SYpavzwust2St/6KLT7+zot5+LjlzDO9/u7HFeuwbb8Fo6LzTopwbrIGQWXNs3y7G9u3iwH3dwEQ0kaG41u4MLPOVVGKf6+9guDfMBfBxdCyvWitZ5nIxQKsj0+fl00/n8Omnc+rtY4BWR3gn/g7+43Twv8pydtaEBifqDYzQ6zttf23xorWSF6xVDNXp+D02AW0vnvPy5uVRds//iH7xefps3oASESFzfEIIIYQQQgghOoUEzURQVe3KZPl/H8RrdxA7dSxD/3seYQP7AlC2YRu2jJwWtiCE6Cgem52QmCiqSvxXPSvJyqf/zAmU/1M/3KLR6/ANS6VoVcsH7/fatGgVE6aMpXzFBjJXbWNUhAWfrbpD6+9JdHo9HnfrJmDF/nv3rgUAXPzwofRTemYnuXx3XyC9xXF1+Tw+dq/NavO+PE4Piz5aw6KPwBRmJCIxnIIdzYfcRM+Ts3w9Hxx2If0Pn4I1r4jqolL0FhN6i5m4UYMZedZxRKX2DXaZQgghhBBCCCGEEAc8NWcj6qI3QaOB+GEoY09Gie7nf0z1wY4FQa6wezLrtTifnAn4A1wA1U/MDFo9g2JMaDXg9UGxzd3kuNgQPbcd3odn5ufw1friNgfNDn91A4t2V3LTock8e0pqYPlV3+wMhMwAim0eBkS1L2hjdfm7cX21rpidRWs5fUws50+Io390w9Da79vKOOHthsflNQrk3j+VuNDWhRQOSY3AoFUYEG1iTJIFr09l9tYyXF6VVdlW+j28gpdOH8TpY2Kb3c6Yp1ezpcCOAsz/7xgOTm17x6dQk67VIbN9PWWr4jCTmV1JKRTMGMZRv/xNpbP2go9zrhjF0eOHUPx5Br4KWzNbgqF6A3/EJnBWSSEFNReNzKlwMSbRzMZ8f0jl36uzyTt2GKE6DdOjLYwKM7K5yolBgZ02F//dmMd/N+Y12PbJibUBpavW57G4tP6cnsunstXqZFpU4x229sp1uLlrawEAAy3BCaTsbc7mbX5Yj7TZ7eLuinLWuv0XWXxyn050wQjbxNSEy6LrhMyKvR5WuxtevDQjp5zv/9zB1l2lfPBd6+edgVaFzADMY57Dm/Z/nRTE0VL59l/tWtOzO7/Zx+8Nj+CaslLKVB/XlpXwQHgkH0XHYVIUVricPFVVQZ7XS77Ph1tVOd5k5sHwSDSd8DxzvR4eqazgF4f/dyVGo+HOsAjONls6ZX9ttc3t5gVrFQDbPR6yvF4G6Hr3qXDV33yLt7AQw7ixeAsK8JWUohiNKGYz2qQkzEcfhWHiBBRt7+7uJoQQQgghhBCic/Xuf12Lbq1g0SoWnH4tzpJyAAoXrWLLs++TfOzBpF58Ovl/LQtugUIEiaLREDZqMGp0BD6fit7upGrLDrzVjpZX3k9DRqSSk1dEwa5MANI272Rg30TsWf6D3WEjB1OmUchsQ8hsrz15RUTqdHgcLrQzxuJbsbpDa+8xdDo8VjfS0axrhURZ6GvYBU3P33db3pB4vnhkVVD27ahy4qhq+UqMomfKXraO7GXrGn1s7h3PkDRhFOMvO5MJV5yDtptclVIIIYQQoqdQkH/17Q957YQQQgg/dcNPqPOeB1/Nhcuy1qKu/gI1eQzKqOP8CQpbSXCL7Mb2Bsy6A0VRSAozkF3h4ou1RVx3cHKTY/cG0apdvibHNGXR7koA1mZb6y0/akgkf24vD9x/7cxBaDTte32umZHEovRK9pQ5WZNjY02Ojf/9tgeAGIuOdbeOJznCyOtL8rjuu12NbuOl0wa1OmQGcNigCEoenoZZrwkERnw+Hwc9t47N+dXkVro568O0euv8c90YHv4zm9+2lTXYngoc9pp/rivEoOHggeFN7nuf7E6bpUYbSa/T1ezEkkIyk1JIWLKNvMcv4anf/uClRbmMSAjhiHHTKXxvFZ6c4lZtu79Ox8qEZEp9Hg4q8M/lpcbWBs3sPpUpC9N5cmQC+U4Pu2z+QNJ3k/uyzebi7T1lpFn9y8aHmxgRZuSznAp+yK/C4fWhQCBk1t+s59TEMF7a7e+YlVblajFodsfmAjyqv6vY5xNTWv+idaANlf7XfoC2d5was8blZJXLxTKXk7+cDur+StxRUftZfy4iquuLAyJqAma/2O08E6GiURQOLiqgep8vksmoZegx7zS5nW9fOY2jp/fHaNChKLBuayE3P/ZXoMPZvm6+ZBLPv7+KKWOTMOi1LF6dHXhMO/xpnJtuRd+KDnxtYfvHh3tLZoduc68ZRhNz4uI5vLCASlXllooytnjc3BkWwRSDkW9i/CHkap+PKlUloZMCRS5VZVphbSjuP5YQbgmLIFITrB6F9flUlTsr6v/GZ3s9vT5oBuBcuAjnwkWNPlb1yqtoYmMxH38cYVdegX5QaqPjhBBCCCF6A5mP2z/y2gkhmqOo+3tktK07VJRRwKa99zdt2sSoUaO6tAYRfNY9Ofw08kS81fZglyJEt2FOSUQZ2Ied67fhqKw/AajR6RgycRQh+kYOitb9HW/0tgKo/lkz/wP+2zWL6z8GGPSsWVwbAtMbDSQNGYC1vJLS7OavrtaSCTUd0gZMHUnY5vX7ta2eSpsYz3c7G05qis53yo3TGT2wAq21INilNErVm/AZI+rVp+pM/PxXKOv/2BbEysSBrs/UcZz+8VPEDBkQ7FKEEEKIRm3evJnRo0fXXTRaVdWe2cpW9Fj7HvP8MSyZwVpDECvq2XZ6XZxalVt3kXyvhRC9isyVidZQt/6JOvuhYJchOtChr2zgnwx/EGze1aM5fHBko+PC716CrSZkZn18OuZWhiOKbW4S7l8O0KCjmaqq3P97Jo/OzWLlTQcxISW0qc20Wn6li9lppXy8qpCF6ZXNjh0QZeSwwRF8uLKQg5JDWHHTQWjbGXTb1xVf7eD9lQX7HQjrSmviE4mtCT4Zxw9CGxmCY82uFruYNWWty8mpJf6Lxq24dTIznl+Fx9f4C5Jq0bPh8EGYtBpUVaXc7e+IFG/U4VVV+v25nQKnF8veToBe/3a+mZTCKYlh9P9zB3lOf/h1cIiBLyamcFBEw252AAm/baPE7eWgcCOrDhvUrue2v6Jmp1Hl9XGW2cJzkdFBqaEjZHk8HFNcgG2fD/pJJjMhisKX9mpiNBoUYKbByEuR0Z3Uxat5y51Ozi71fxZNKPTRatnl9bS43iM3H8LMCX2otLo4+cjBHVLLrU/8xcsfr8Hj8f+eThqdyAv3HMWMCX1avQ0VLRCKQhXUifW5C6MpOOeVDqmzOS5V5amqCt6y+c8dGK838FpUNH26MDg5szCPLK+XQVodf8UlBOVz1ZSXqip5xlpJiKKQqPF/1u4Ni+DK0PZ1neyVjEYibrmZsGuuQjkAAnhCCCFEc2Q+sXeQ+biOJfNxQojmyL8iRVCsvPFRCZkJUcOUFMeO0go8OQWoTQS5fB4P25YHJ5jldrrI3LS9Q7ZVUlWNFshcvY0xsSH4rO2bMOvJlKhIQIJmwfDTi0v5CRhz1FBmnRJDSFXHfK73l2oMZY+tPz+/so7y/BwSBscycdYg7NUetizeQ8Guxq/OKERXyVm+nm/OuYmr1v4Q7FKEEEIIIYQQQgghDghqdRnqXy8GuwzRwWZfMYqIe5YCcOMP6cy5YhTZFS4en5fFpvxqMkod7JsNCr1rKdn3TSEpvOWTptIKqwO3j9gnxKYoCg8d15+HjuuPy+NjUXoFkWYdg2NNrQ6y7Ssx3MClUxK5dEoie0odvPJPHs8taHg82/XUTFZnW5nxsn+e66XTB3VYyAzg7XOG8PY5Qzjnw618u7HlDn/pCcksd7v4T2kxTqCvVtupJ03sfablqkqpz8dBen0gZAbgXNt417e2qNstykYC/z4olk/WFAWWmTQKY8KNnJAQxhX9ojBp/d2IFEUhylD7/msVhTfGJnPOqqxAwCzJqOPG1GhOTQxDURTmzxzAOauyWF/pZKfNxf3bCvlxSr8GNfl8PkrcXgDuHRq338+xvXQawAuOnpRE3IeqqtxdWRYImfXXajnBZOFsi4XBOn9nwCciotB2gwDQVKOR8XoDa90uHKj1Qma/x8QzTK/nL6eDF6oq2e71BN6XoQOiOKyRz9H+ePbOI3G6vLz26VoAVm3K56s5aa0KmqmKCdc2LWWP/4xndz6a+EjCzj0EDDpcW3Ow/7KiQ2ttikFRuDc8kikGI7eUl7LW7eLE4kL+iksgWtM5Xcz29VpkDKeVFLLL6+FHh53TzM13Muwqa11OXrT6Q863h0Xws70avJDv8wa5sm7G6aTi8SfQREcTev65wa5GCCGEEEIIIUQPIkEz0eVy/1hM9o/zgl2GEN2HT8XtdAW7ii6xZ0MaIxJicBaUoB0yFN/aDcEuqctZI6KA3cEu44C2cd52srZEcO1t8WjspUGrQ9XqyfUN46snVmEt2RNYXrCzmNk7i4NWlxCNyV+3lfKMbCIHpAS7FCGEEEIIIYQQQoheT134Ojgqgl1Gt/Xg73uIDdEzpV8omeUuzhgT0606rDQl1KjlpJHR/LKllE351fR9eGWr1luSUcmZY2NbHLeloPYin8PizI2O8XhVzvhgK3PS/BfEizBpWXXzeFJjGu9I1Vr9o008ffJA7jm6L2d+sJWNeTbGJIXw46UjUYAbvt+FqsKFE+OZOTB8v/bVlK8uHgHAdxuKOfujNACm6A18FR2LRqOpN3am0cSOpN5zrHOqvjaIeN7rc1l006h6QTOHT2WnzcVpiWEkmpo/ReTkxDB+nNKPM1ZmMSbcyG/T+hNRJ4w4KMTAopkDuXFTPu9nlfN3sY1Kt5fwfQKLm6pq5z4nNtHxzOfzccyyTOaX1IYkU0w60o8a3OA9a4939pRS5vZ3oTrR1Ph3oie4vryUBU4nAB9GxXBEI8+lO4TM9no2MorLS0sYrdez0e1it9dLJAqD9Xo0isLRJjNHm8x4fD4mFeZRqqqcc+NP3HBRNi/cc3SH1jJ7fnrg9uD+kTxw/cxmx6uKEecmDaX3fomvzBpY7issp+LFnzu0trY4xmTml9gEDi3Kp9Tno9zn67Kg2TiDgRtDw3nOWsm9FWVMNRhI6sKOak153VqFG5ikN3CRJYQvqw+8C9y2hf2XXyRoJoQQQgghhBCiTfb/6JwQbRQxYhDJxx5MSP8+0I0OeAohuoY5tS8ADkPPndBpL21CHIuWpQW7DAGU51XwxwIDKJ38n0LNbH/+ukTeu2cB1hKZ+BA9Q9oPc4NdghBCCCGEEEIIIcQBQUmdAYkjILTlcNGBoqzaw9Xf7OTWn9JJjjAyKMbEtJc2cM5Hadz0Y3rLG2jB6e9vIf6+ZXy8urADqm3a/x3Rh7FJFgxa/xypQatw8qhozh0fx6SUUM4YE8O54+M4akhkYJ3TRse0atvztpcHbg+MbjzYc/fsDOaklaGv2X+Fw8uPm1ruAtZakWYd864ZQ+FD05h3zRhCjVr+yahkZZaVUKOWJ04c0GH7aokCfBMb3yGBpe5Op9EQV/M886sdDIwNJSnM3+lKq8DUKDNlbh9nrsyi2uNrcXvHxIdSfNww/jl4YL2Q2V4WnYa3xiWRbNJR7VXZWOVsMGZNhQPwn5DS19KwI9+SEhthc7bVC5kBZDs8/Fq4f/Mm1R4fhyzezdUb8gHop9VyYjfpwtRWblXlJ4c/RBqqKI2GzLqbwTo98+MTeSUqht1ef3epMQYD+n3ODdFpNLwbHRs4aemlj9awalNeh9aSU1gFQGS4ke1/XElkeHOvn0LhNfMovvbdeiGz7sJZ0/0tRFEY0MVBr+tCwzhIr6dSVbm1vAxfkDsEulWV+TXhy6tCw9AqCh78NZX6/L9x1T4fag/uZNjRHIv/wVsSvAuwCiGEEEIIIYToeYJ/mRlxwAnpm8RRv70LQMW2dNb831Nk//x3kKsSQnQVn94/sVWUVUxikGvpSrrhQ1iYa6PaWh7sUkSNlT9tJnX0IQy1bOmU7XvC+vDO8znMOG0YI1Lt6CszA4+pxnCW/7i5U/YrRGfJXroObgp2FUIIIYQQQgghhBC9nzL0cJShhwOg5m7ydzjL2RDcooLszl93887yAgC+uHAYyzOrAo9VObz7te0Sm5ufNpdi1mv4YEUBF06Mb3JsYZWLsz9K4+6j+zJzQDihxrZ1lDl4YARrb52Az6cyd0c545JDSAhrGMIBUFW1TZ3aft5SGxjTaRtf78NV/tfw8qmJvL7EH+gw6zs3iGXU+bcfZtSSGN74c+1IB+p1TsfpDcx1OtAAqjmWcyfE8dyCXLwqnJoQRq7dTXq1m4e2F/HEyIQWt2fSNv+5UBSFFJOeXIeH7VYnM6PrB7mqPI1/LxvrYrYvbxvCIfkOD/9LKyTT7uKwmBBuSY1h8sJ0ttn8HdUMwKfRca3eXndS7vNxQnFB4P5dYRFBrKbt9ng8gduDdfpGx0w0GJkXl8ARRf7nOeXMjznt6CF89+rpHVJDTKSZ/CIb5ZVO/lqayYTNenw2J2HnjkeXUI2i1oYkfa5o3Fsym9lacG1w+z/To2o6w3UlnaLwQmQ0xxUVstjl5INqK5eGhHVpDXWV+nw4aoJlE2s6Olp9/vvf2av5x+mgwOdjkt7AZzFxmA7UPwx1eb241qzBPKtjuwYKIYQQQgghhOi9ev/lu0S3FjEslRnvP47WZAx2KUKILuKpmRwq2r4HbXRkcIvpJMrEg9CMH4ti8E+auKdP5Yd1WRTlFgW5MrGvLx9bRJ52dIdvVzWE8vl7JRRllPDjC0t44oa1fD8vmg0lw9lcPpz5qyNwO9wdvl8hOpOtsOOubCyEEEIIIYQQQgghWkdJHo1y3D34+zN1f6qq8uLCHP71URqrs62BbiLztpcFuoYd/up68iobdkBqTt0OXRNTwrj/2P5cMDGOCX1CeOn0QftVc7RFx22H92FIrImvLx7e7NipL65n8e5KTnh7Mw/8vqfd+9RoFI4ZFtVkyAxoU8gMwOnxv9ZhTYTf7G4vxTZ/8GNvyAxg1tDIwG1VVdmcb8PtbbnrVWsNi/N3EMqrdFFh97QwWrTXyWb/6+wFVmXZefrkVJLC/XPwj+0o5o4h/g6JX+VWdtg+D43xh8teSi8lb585j4U1QbK6n6TFJTZMv6bVC5ndMyQWz8kj8Zw8MvAr15qPvsfn4+aNefT/czvvZ5Uzr7ia+7YVEff7tkDI7DijiU0JyfTX9bzrL2d4PJxeXEh2TUewO8LCuTAkNMhVtU2Gt/b7PkLfeNAMYJBOz6WWkMD9H+bu4LRrvtvv/X/y42byi2q74935wHysn/xN9fdLKDjnVfJO+ZKq76uwLYbqZRrKnlmy3/vsTBtrgmZj9Z0f2G1Mqk7PPeH+sOPjlRXs9ARvntNY50eiwOf/jsTVCccW1HQ1W+V2YfV13N+zns5bVBzsEoQQQgghhBBC9CA974ia6HWMMVEMOPdEdr2//wcLhRDdn04TmCZCM3Ag3tK1Qa2nI+kG9GOrLpQtC/ydqiyhZhJT+pP+55ogVyaa887dC7ju2UOIqt7/zma2sKEUlRlY+XsWGevrn2Sw6e8dbPp7x37vQ4hgcdvbdvKPEEIIIYQQQgghhOgYSmQy6pBDYceCYJfSoo9WFXL37D04PD6+2eA/oTkxTE9+Ve0J6Yt2V5Hy0Eo+PX8o/x7fdPewuu48qi+njYnBpNMwoCZ09uG5wzqkZkVRePKkgTx50sAWx9btYNZUoCsYPN7aDlAnjYxudIzd3fBk+2dOHsigWHPg/gcrC7n8K/9x7LKHpxJubjoc0loRZl3gM7CtyM6UfsHrgtObnW4O4ZbyMrzAnI17mHxYFOP7WMirdGL1+rhuYz4AcYaO+9xekBLBGxllbKxycuOmfL6a1Dfw2O5qV+C2/uct7NujrL9Zx8pDU4k2tP2UlR1WJxMXplPtbdj5zO5TUYDTzWZeiIxp87aDZZvbzU+OagZqdSRotVxfXkqpz0eyRsuH0bEMayao1R25VZULS2tDLSEtpAcfiIgiUqPhOau/W+VPf+1kR0YpQwY0/nvWknVbC7jo9l/rLTPklkFMbXc7X0U1FS/+3K7tB8NGt//v6JggBc0ALrKE8KfDzkKXk5vKS/k+Jh59ELqFRWo0DNLq2OX1sNTpZJTewHMR0bxfbWWNy8WWmhDcNIOBWG33+VsdbKrDEewShBBCCCGEEEL0IBI0E0GnqiqDYrxkhofirrQGuxwhRCfTOGonltyG3tPN0Dd1Mj8s2IjXU3sV0GqrnfS09l/RVHQRFd64ayk3Pj0JS+X+BcF++TKf7Ut2d1BhQnQvOulAK4QQQgjReoqKojQ86VG0krx2QgghRD2q6oXYENhjAVd1yysE0YY8Gw5P/UBT3ZBZXed/ur3VQTOA4fGW/aqtIyy7YRx/7ignKczAlH7dp7tQWZ1OYaMSG3+doi16Pj5vKJvyq4k06ZjWP4zMcif/9/NuFuyq4IQRUcRYak8fiPrfcrzPHLzftXm8KoaaTjN5la4WRu8/Tc9o/tcp9v5XdIrF3+FnQJT/mK5S85hJo3BCQihun4q+A16o0eEmvp2cwrHLMplbZMPh9WGqea9fGp3IoUv21KtrrydHxnProNh27/eQxRmBkFmKRkt2TUcjAD3wa2w8w4MYxmmPWcUFDZaN1ul5PzqWhB4YlLGqtX8H/hsSxkkmczOj/W4Ki+AtmxVrTSfMWZd8yd1XT+f8k0cSYtm/9/MUk5nbwiL2axvB5FFVNtcEzcYGMXSoKArPREYzqyifDW4391aUcZYlhGiNBg0wQKtrczfO9hpnMLDL7uGhqgpCNBrOtYTwWEQUqqpySkkh691uQhX/75FXVVnldnGQ3lCvG9qBRjHKPJ8QQggheiGZj9s/8toJIZohQTMRdJ5VK9D99g2TZoxm2R87UKV1vRC9mn13VuB2td1N8KeF958mPJQ5/2zB6/G2PFh0Sx6nh9f/t55zbptCUngpuqrcdm1n6jF9JWgmeq2IvonBLkEIIYQQQgghhBDiwJT7D0rJEtTBgyBtC/i677HoKmfbanvszwzunjWgQ2sot3v4a2c5p42KQaNRcLh9/LCphOn9w+hf0w2tvUKMWk4b3f26JMWF6rn/mH78tLmES6ckNDnuvAm1wb5PVhdy8efbA/dXZ9e/IGj/yNaHGVweH9kVLt5cmsfna4vwqf7Al0ZR0Gogs9xJjEXHYYM6P+ih4cANEegAF1Bq9XetuWxqIh+tKsbq8gcRHT6Vh7cXs6Ckmt+m9cfQAWGzrJqQY6XHR6HTSz+LP9gxIyYE6/HD+feabH4vtGLWahgaauCdccmMDm//9/DJHUUUu/2/M69FRnG40czoglz2nmFwvMncKSEzm8/HF3YbJkXhTHMIpk4OqwzQ6vg6Jo4QjaZT99NZFjidAAzU6rgjLLzV4aOPo2M5o6QIFcjMreLq+/7g6vv+AOD6CycyZEAUpx41GJ1WQ1J802HfccPjOeXIwfz0106SNVpeiep+v9ttsdPjwYFKqKIwUBvc07wStVoejYjiuvJSPrdX87m9NgAfp9HweXQcQ7sgDHdLaDjf1ez7jooyjjWZiNZoURSFaI0WcDPX6eCi0iLm13weAT6NjuUQ4/79t0BPpeuTHOwShBBCCCGEEEL0IBI0E0Hn+PxDAKKyNzH6+Gls/HV1kCsSQnQmV0lF4La1tKpXBM0qRozCNW9NsMsQ+6m6ws4H/1sAwODJ/Rh7WF+SkrSE68rRVeW0ahtRERKWFr1XZGrfYJcghBBCCCGEEEIIcWDa9T0AiicLdeg4SOu+x6MPGxTBu8v9nXmunJbA9QcnM+aZtU2Of3NJbocHzS7/agejEix8ta6YLy4czqNzs0gvdXD7L7vJ/N+UDt1Xd3LfMf2475h+rR7/3293Nvv4nnI3V329gxsOSWZkgqXJoMjGPBunvbeFjDJno4/v9cCx/Yg0d/7pCb4G/bMOHHtjnhaDP5x0UJ9QjhyaxE+b/BeBvKJfJJ/mVLCwpJqf86s4Mzl8v/a3ucrBNRv8F+67KCWCvvu8vyadhh+mtP4zua/fCqv4Ma+KiZEmJkWaOXVFFjkOf7AtRFE4yRwCwNuRMdxcUYpTVfm/Du5a5VBVvrdX80xVBUU1F8y9q6KciXoDH0bHEt7BQbBwReGSkFAutoT22JAZwOyaANDxJnObOlxNNBiZpDew0u1iqE7HLo8n8Ll++WP/eSQ3PDwXgBfuOYobLpoIwPzlmXzy02ZioyxER5goLK0OBNHqdlfrqTa6/d0gR+v1aLpBR65TzBZuLi9l336lRT4ft1eU8Wl0bKd/fvvp6v/ehCi1+xuu0/O30x+4rRsyAzi/tJjNCcmE9eDvV7soCtr+7f89FkIIIYQQQghx4JGgmQg6z45tgdspGcuwHTWVdAlsCNErGUPMqDZ74H5ZZj7xzYzvjjShIfisNgC08bHsiE5io/xm9To7V2ayc2Vm4P7wmamcdbqK4qgMLFONoTiNCehUO1q3FVT47avWBdKE6GkmXXMuh95zdbDLEEIIIYQQQgghhDjgqD4vVGYE7iu+dNShk2D7quAV1YwR8bWXl3t3RQF3HdX8xYu+vWRMk49d8dUO3ltRQMa9k+kbaQwsf35BDma9hqtnJDW63okjorn8qx0cNSQSgPEpITy3IIcTRkS14Zn0fl9dNILT39+Cy9t0MOud5QW8s7yAWUMj+ejcoVQ4vCzeXcGFExPQaf1hh8fmZdULmT154gBmDYvEp8Kk59cB0D/KyBXTEjv1+exV6fDHUoIfxeha1T5fIJBzxODIwPK52/xBMIMCr4xNwqjV8MruUv4prd7voNk16/NwqzA23Mi7ByW3KVDUkqd2FnP31kIA3s6s/1iSRsvLkbXf51lmM5vMfTps3z5V5VeHnU+qbaxxOWksQrna7eKi0mJ+iG37TGex10uG18MkQ+3vmhFwApWqyq0dHJYLBntN4DNe2/YwT7XqX3eGwcQfsRHMcdipUH1sdbv50W6nvCY4dtOj87j0zDGoqsrJV3+LrXrf2JPf1Dqvc0+1oSZoNqYTuvW118K4RA4pyscDxGg0PBsRxX/KSljjdnFscQHPRkQz1dh5r32VrzZAeLjRiLHO78//hYUz2WBgkdOJRVEYrteT5fXwVJV/nndUQS4fR8dy2AHS2UwTE0PMKy+hHzgw2KUIIYQQQgghhOhBJGgmgsqbmYEvOztwX1FgeMFykmcNZXMOlG3ZHcTqhBAdTd1nrtJltaOfMAj39l3BKagNNKEhlI8azcIF65k6YxIhBi3LVm6nKj0t2KWJLpD2Tzo5xx9GCpsCyzbm9OHHF5bUDlLgAL5QquiFEsePZPS5J9JnyliseUUNfsOFEEIIIYQQQgghROdSVRVKNoDqqbdcYSfqiEFgs0DmxiBV17gHft8TuO31QXyogbW3jGf8c413NRsQ0/hJ3ie9s5k5aWUcPiicR/7M5M2zhwCwp9TB4t0V/Lm9nGOHRTIwxtxg3UumJDBraCSJYf4T8s8YE8txD0Vh1h9g3UtacNzwKOxPzsTnU3G4fRz22gbW5NgaHfvn9nKSHlwRuH/5Vzv5+5ox3PHLblZkWQE4d3wc/5vVl2E1YcMSW23o456j+6JvR+BkfxxoQbO6J36U2ty8vTSPz9cVU+32x89cKiwvrWZIiP97kWlvPJTTFvFG/16tHl+HhszOX52No5EmVBrglcioQCezzvK1vZr/qygL3E/UaLnAEsLVoWHkeb28Yavi02oba9wuVrqcTG5DkOm7ahs31Wz79rBwrgv1h/1OMFn43uHvArbc5ezx4ShjzTcwy+ttYWQtr6qy1eNms8f/2TQrChpF4URzbYD59rAIfnfYuaXmNTz3lp8oKXcEQmYnmcwU+rxU+1TyfF6G6/Q8GdHzQ8Yb3f7n152CZn10Op6PjOL68jJKfD4+rrbxeEQkd1WUk+n1cnZpEXNi4xnVSTXfUF4auP1WVGy9x3SKwtEmM0ebav8bQVVVVrlc/FXT6ezC0mJiNBpStFo+iY4jopd1ONNERmA57TSM06aiTU5GtVqDXZIQQgghhBBCiB6md/1LWXR7qteL6vGgqirVb75C+YlHgqfhQezwvO2Mj65g+PGT6HvoOBSdZCKF6A1c1XYUjQZjbBSRM8ZjnH4Q6zwGtMldcxXL9tJMGMd8r4W/563B6/GyZOF6/py7hqoKOSB7IPn13U1Yw4bhCUtmc/nw+iEzkJCZ6FUUjYa4Eans+HUBn598Nd+eewt5azYHuywhhBBCCCGEEEKIXk/1+ufNVE81rH4Clt3X6DjFWwLGbBg6CVLHQ1hcV5ZJboWTS7/cznmfbKXaVRsk+M+UhHrjTHoN//44jTiLgmWfoNcrp6cSG6Kvt0xVVbLKHMxJKyParGX+rkqum1nbuSwp3MAPm0oJM2p5bF5Wk/WlRBoDHbcALAZthwZhehONRsFs0HDyqJgGjxU/NK3J9Y54fWMgZAbw5lmDAyEzgOI6QbOM0sZ6QnUOrcb/Ph9oh+wNGk3g5I9DX9vI1d/uYsGuinpjDl+yh4Ul/jChy7f/r9ALoxPRKZBe7WZPtavd26n2+NhhdQbes70hMx3wYFgEg7Q6EjQaXuqCkBlAWU2nJA3wV1wCy+MTuSEsHIOi0F+n4/GIKM6tqeOFmg5JLbH5fNxSXhoImQE8VVXJq1b/+k9FRtFPqwVghbPrvi+dodDr5Y+aMI+2mXFeVWWj28Xb1iouLS1mXEEuJxQXBh6f2Ug3rDCNhlPMFo6s6UT16/x0lq3zd+070mjitagYvomJZ3ZcAmsTkvk8Jo5YbXNVdH8eVWVzTUezsXp9C6O71qnmEE6tCXPNczrQqwqfRdeGvo4vLmRXI+cDdYSN7trfnPsrylscrygKH0THcltobSfHEp+P9W43D1a2vH5Poxs6FG9RERVPPU3hKadR9sBDwS5JCCGEEEIIIUQPI+kd0aWqn3kMx7dfoElIwpeR3uxYU3kBqeUFAIQcPZ2031Z1RYlCiE5WlhxPaXY+FNdOpJQlRHN4an886XuaWbNraSLCUQenUuDTsnTheg68a1+KfRXuLuH5G5e0PFCIXkD1+dj42S+B+4pWS0hcdBArEkIIIYQQQgghhOj9VEcJLLrF38lM0YKjuNnxiqICO0EHako0pNvB2TUXSHtneT6fri5kYJQBXZ382BljYnnptFSe+jubd/7l70K2rche82j9YMusYfW7zFQ5PETeuwyAYXFmDk0N55ETBtQLoxl0Gu44MoXle6q466h+Tdb3xdoizv90G7EhOgoebDosJfzhvmPf2sS8HfVDSWa9Qv9HVjSxVn3XH5xEiLF+mGNdbm13tNeW5PJ/R/Qh3NT5pyfUzRM+U1nBPKeDCQYD94RFYPX5iO/FFzhN1mjJ9tUGP5M0WqYbDUzUG3mwqgKXqvJtXhUAY8Mb7ybYFnEGLTEGLQVOLwVOL/0tLa+zrzNWZPJTQcPfrbvDwjnLbCFWq+OS0LD9rrU5qqrys8POVrebK0ND+cbu/+wepDcwWNd4sOfa0DC+tttY5HLyTbWNsyxNB+B2e9xcUlpCuteDBrg+NIwXrf734cmqSv5lDiFWq+Voo5n3qq3s8Xqa3FZP8IO9OnB7lsmMqqo4UNGhsMXtZoXLyVKXkxUuJ5Vq/b8LoYrCZIORY0wmDmmiq5tBUXgnKoZPqm2scjkp8/nQKQpP94LOZY3Z4XHjBMIUhQHa7vf79WJEFL857DiB2U47H4TEcnVIKG/Y/N/rI4oK+DU2vsO7sd0YGs49NQGxXx3VPEnr3v8bwsKZZDCwwuXiuZqgZ0oPDyM2xrViZb372oSEJkYKIYQQQgghhBCN635HIUSvZf/0QxyfvA/QYshsXwOzluI4cioZf63pjNKEEF2oNDu/wbKSglJ+s4dw7MhheLdsC0JV9emGDmLO9mKqF+zt3iMhMyHEAUxROP7le4ke3D/YlQghhBBC9BgK9U9wFW0jL50QQogDkeooheUPgKO0Xesr3lLU1BRIzwFnVccW14gn52bh8cGOEhe5FU50Wi0pkf5QwLUHJ3Ptwck8Pi+L497aXG+9vhF6kiOMPHbCAAbHmus99ned7kvbiuzkVjpJK7LzwDH9OHxwZOCxx04Y0GJ9zy/IAaDY5uH+3/Zw+bRE+kY2Hlo4kKmqiu7//mn0MbtbZW840KLXcN6EOH7fVkZWecPOVXGhDcM4X6/3ByWjzFrK7F7eXpbPrYendFzxTdDVdDTzAS/Z/N+FzR43H1f7w0P9tVqMikK1T8Wm+ihXVVRgtE7PA+ERTDHufwArWL6KiWVGkf9CrhpgUVwCBo0/CXqY0cQpJYWU+nwowJCQ/Q99XLE+jwKnl1CthuGhbd/e1zkVjYbMXo2M4uQu6FwGUO7zcVVZCUtd/i5ir9pqfz/zvd6mVqOfTsd1oWG8YK3ilooybqko40yzhaciotDv84/BuyrKSfd6iNdoeDUqhqkGI6tcLv6p2eeEwrx64zU9/F9EljrP/+ySombHhioKUwxGphmMTDcYGaXXo2vFP6Z1isJ/QkL5T0joftfb3W1w+zuCjdYb0HTDAw3bvR729uC7rCZwebrZEgiaAdxYXspfcYkdut9/WUICQbN+bQzgzTCamGQw8patCquqcqTR3PJKPZguNZXo554JdhlCCCGEEJ1C5uP2j7x0QojmSNBMdChvfi6Oj99HraxAtVb5/4Lr9HjTd+LdtrXd21UUGFG4Ao6YTMbfazuwYiGCz1NtZ9xhk/13VP/ED6qKByguLCF/e4Z/os+gZ9CEUeRs3421tKKZLfZMtkobP6/P4qSp4/CtWR/UWsqjYqm2Zga1BiGE6A70IWZOeuNBRp1zfLBLEUIIIYQQQgghhOjxVGcFpP8ArgpwV4PqBa0JXJVQugW8jv3avuLNR01Ngkw92NoXWGutUKOCw+4PIR38ykYqHV4+PG8op4+JBWBzvo175+xpsF5WhRu7W+Wcj7ay5IaD6oXNDh8UUW9s/ygjG3NtPD0/u17QrDU25tV209qUX82AR/ydPWyPz8Ck1zS12gGn38MrWxyj1yio+INjVc7a4M1JI6P4ZUsZY5MsnDY6BgCH28dlX+1Ap4HvN5YAcOOhyTzwexbPzM/huoOTMeo69/VPjW4+KLanifDQJo+bs0qLOdxg5KOYuM4ordO9UyfYoaX+ySD9dDqWxSdxbVkJfzodXL4+F6vXx7UDo9u1r0q3l69z/fOVz49OIFzv7wjk8/kodPkI1WkIbeG9fjXD/zsVqSjcHhbBs1WVnG22dFnIzKuqnFxc0ORn4vGIyGbXvyk0nM+rbRT4fAB8a6/mW3s1z0ZEcXZN4OabahtLagJl70bFMs7gD+TdHx7JycUFgYBOXYW+pgNuPcHBTYQ1tfhDaJPbESw7kG1w+8O9Y/WNd9framluF2/Yqsj3+jjEaOQfp/9TbFEUDjH5/6bX/S0CCFc6/nd/S00AD+AMS9vbKa5yObGqKga6z2vbGUxHH0XUow+j65Mc7FKEEEIIIYQQQvQwEjQTHcaTtoWqG6/Cl5vTKdtXUBlRuIJ+Rw6k1JxA2sI0PFW2llcUopvzVNmoWtD4RJ4ZGBIWgmVAH6rTs3AvW0dyWAia6QeRtnRdl9bZFdxONz8u3sqJR0xCs3xV0OqwuTxB27cQQnQXUal9iRrcj+8vvJ2y9CwOu++6YJckhBBCCCGEEEII0WOplbth1ZNg65x5tL0UbyFqHz1ox4JDC7s75wKO2fdP59IvtzO9fxh3z9mDze1jSUZFIGi2u7Sx+ASEG7UUV3tIjTYx6qk1eHwqkSYNuQ9MI8yo5fyJsXy62t8Ja1O+HYDf0srbXN8NhyTz9PwchsSa+GFTSWD5M/Oz+X5jCf93RAr/Ht8zw0QdKbeyYXeyfbl9Km6fir32nH7+fVAsn14wvMHYIY+vqrfNPhEGbj+iLy8szKXQ6uY/X2zn80bW60gT+4Zx5bREPl5VyK2H98Grqny3oQS9VmFUooWtBdVoFIX1ubaafm1g0ik4PP57811OXqiq4KawiKZ30s34fD4GFeRSN550Z1g4Gk39cIdJUXgrKob7K8v5qNrGjZvyyXW4eWR4PEobwz4+CLx+M6MsnLI8kz+KrHjU2jEzo818PjGFZFPjIY4ytz+gNVSn54KQUC7o4u5UPzvsgZDZy5HRHGsys9PjZqfHw3CdnuEthE80isK8uESerqrge3s1lar/yb9greRsSwheVeWWijIAzIoSCJkBDNfr2ZGUwnKXk5vLS8muE3Z7KDyyg59p1xqg0/FJdCx3VZQRpmg4y2zhIIOBcEXDEJ2uzZ+1A93eoNkY/f53IWyv1S4nb1irWOJyUqXWfsn3higBjqwTMDzTbOFre3Xg/l2d/Hv6UGUFRxvNDNC1/hS4NI//j5oL+Mlh5zRz28Nq3ZpWS8h5/8b26efkTZtJn80b0ERGBrsqIYQQQgghhBA9iKLWOQjQJTtUlFHApr33N23axKhRo7q0BrH/VKcT1x+zcf4xB01MDCganD99C66WJyM6ijUhlRUbrDiKyrpsn0J0G4qCZ/RQMjduC3YlnUTluFmTMC5dtt9b0g0eiC0uHofXf2XCOIcV78Ytza6zpf9Qdmzevd/7FkKInmrAEVOZdM25fHPOTWgNei7660P6zZwY7LKEEEKIRm3evJnRo0fXXTRaVdXNwapHHJj2Peb5U3gSQ3TBOwmsp9vhcXFKZV7dRfK9FkL0KjJX1vupzjLI/huKN4I5FlSf/77P3fLKHV2LNhW2bwRv5+xbVVWOeG0DJTY3a2+diE6rBJbf+WsGry/Jw+byh0mePWUgt/5U/9i7Qavg8jY/X336mBi+uXhEm2vzeFUGP76SrPKG85cK4Hnm4DZvs7fR3ra41WOvmJZIpEnLbYf3ITa08f/W/e+3O3lzaT6DYkzsKvF36Mu5bwrPLcjh2QX+kKW3m7zuVoeH91cWcva4WBLDDVS7PITdXTsvlZaQjEXTM7rfTS7IDXTVAkjQaFiZ0HT3GlVVecVaxdPWSgAuSongzXHJ6DVtCwAdNH8Xm6oaD5XulWzSkTlraOD+j/mVvJ9ZzkkJody4qQCnT+VIo4kPomPbtO/2yPJ4+NZezRFGE6P1eiYX5lHs8zHNYOCrmPj93v7o/JxA2OzdqBimG4yMLMgNPL4yPokErbbRdb2qioI/vCbq+9VejVFRGK7Tk+71cIjBCPhDTl5gssGAuZmOWfleLxogVFF6zHd6L5eqMjI/BxewMC6xTUGq/bXAYecdm5UVbhf2fc4rMysK4YpCsc8XCLj+HZfAIF1tOHOL28XlZSVke72EKwqvRMZwuKn5jpNtdXpxIavdtX/jM5NSWr1uhc/H1WUl/FMTlrsxNIxbe1DAuDmauDiiX3uZshtvwZubi3H6NOK++UpCnkIIIQ54Mp/YO8h8XMeS+TghRHOko5loM29+LlVXX4J3146g1hFakM6MIXGsTxpCyYbg1iJEl1NVIqqr0Wi1+Lzelsf3OAq//bmaw4+cSsTKFdCOULQmKoLiwcNYNH8tqNm1yzUKp00ZgXfT1vrjQ0PwWW3oRgxlxyoJmQkhDlyTrz2fY5+/i4IN2xh26lFMue4CCZkJIYQQQgghhBBCtJKa+w+sexG89mCXAoDiTUcdmgp5VVCe2/IKbfTwH5ks2l0FwITn1rL+tvEoioKiKDx50kCePGkgmWUOhjy+qkHI7PwJcXy6pqjeslC9QqRFx4BoM4t3+0Mwr585uNF9Z5Q6OPGdzVwwMZ67jurb4HGthkZDZgB6rT9sc6CfdN0v0khmefNBIYB/j4vljbMafx/qeu3Mwbx25mC+31jMWR+mAXDmh1v590G13eP2lDroH92xYYP2CDXpuP6Q2jCWxaBDq8De3OM7Nis3hIUHqbrW+8RmrRcyWxyXSL8WwiiKonB9WDhxWi13VZbxUXYFhS4vX05MIUTXuiBOhdtLmrX+Z2eMTs8kgwEPsNrlYovHTa7DwweZ5fynXyS3bMrjpd3+i8j+UmANrHeRJaSVz7btVFVlkcvJhzYrfzr94cfnagJ2ez3YQR3EfotN4PryUla7XVxWVsLlIaFcHRLKGzb/c72topSPoxvvpKg9wH+LmrLM6eSa8tJ6y56LiCLN4+atmtdVwR8iC1E03BcewUl1OlM9XFnO2zXjwhWF5fFJhPSgsFmGx4MLf7CrfxMhxY7i8/mY7bTzgc3GOreLff96hikK0w1GrgoJY7LRGFi+2uXEjFIvZAYwUm/gp5h4riorYaXbxX/Kirk3LILLQkI77G/v97HxnF1SyPKaC2I/WlnOPa38PkdoNGR4PYH7fzkdvSJoZpw6hZg3XkMTF4fp6CNBUYj83/8O+P/eEUIIIYQQQgjRdhI0E23iTd9F5Q1X4NuTEexSADBVFjFZU0rpCaNxaozYXBoylqbhqbIFuzQhOp1tVxajD53EhoWrgl1Kp5n/1xqmHjyBpM0bUN2tv9qqdtxoft+Yje3vtQ0e8/lUdnp0DKyzzD1tKrPnriYqLp6ylen4pySEEOLAc/zL99L/0MmUpWeRPHE0o/99IinTxgW7LCGEEEIIIYQQQohuT1VVyPgVNr/t72DWjSjeAtR4HSSNB1ULHhWyd4CjsuWVm6GqKo/Mywrc31xQzR/byzl2WBTgPx7/9YZi5m0rw1PzkkSbtWg0CsU2D5+uKSIxTEepzUNN0zOsbpUt14+lT6S5xf1f//0uIs067p2zp9GgmaIorLr5ICY9v47p/cOocHjYUuAPAPaPNKH7v39Ye8t4xiZ3Xsilu7vvmH689k8uhwwM58XFeQ0ef/T4/twzZw9frC9maeZKoi06Lp6UwHUHJ6EoCk6Pj49WFfLdxmIKq9wMiDbx8HH9+W5jSWAbVQ4PN/2YHrgfH6ZvsJ/u4tlTUgO1vmqr6vZBs3Kvl7srywP3P4+ObTFkVte/LSHEajT8t7yU3wqtHLU0g5+n9CPO2Pw2Cp0ejl6yB09NKO90k5lbwyIa7Htvp7XHdxQxJszIKzUhs70UYJROz5Gmlr/vbeVUVX61V3NTRVmz4x6PiGSEvmOufp+i0/FOVAzHFhdQ6PPxjs1KeE0nrjSPmwXOlkOdopZXVXnTVtVg+S113lMD4AKqVJUq1ct/y0vJ9XpZ6XKy3eNhd50gUaWqckN5Ke92Qfe8jhJfEy6zqyo2VSW0g8NCqqqywe3mHVsVPzns7Hvp1yhF4VCjiWtDwxjexPdkosHY6HKAWK2Wz2LiuLeijC/t1TxUVcE2j5tHIqIwdtBz+SQ6jiH5/o6ZS1wtf8dUVWWd28VbNis5dS7o+2pkTIfUE0yh/7mY0Ev/gycvD0N0NJH/uxf7r7PRWDr+N1YIIYQQQgghRO8nQTPRKp6tm3F89iHO2T+Bq/Er/wWLxuclNnN94H6/cYks2WbEUeS/spUhKpzQ5DhKN+8KVolCdBrvrqyWB/VwyxdvYMzEYQzOTsdnq25xvG7EUH5csQuP29PkGFedx7TjRvPjvDWAQllRGRIyE0IcqFJnzSDth3nMuf4RAEIT40ie5A+bCSGEEEIIIYQQQojGqW4b5MyHPb9D5e4WxweLgge8NfVpQO1vgaJIKM2sWaaFqBSwlbU6gKYoCt59MnUnvL2Z9Lsn0T/axFvL8rj2u/R6j5favfXu51d5+OKCofz7k+0AnDE6mqu+SWdOWhlJYXryqtwclBzCW+cMYWJKaL117zyyL4e+ugG9VkFVVR6fl82ZY2MYFm8hv9LF8W9vItyk4+Hj+nPb4X3QaxX6P7ICg1bDjhJ/Z6NpL63D+tgMNJoDc27gkikJXDIlAVVVuWJ6EquzrVz8uf+9+Pua0Zz14dbA2D1lTvaUOVmbk877KwtwuH3sKLbjq5NMWJdrY96OcgbH1nYs21xQ291vQp8QzPrO7cqzP64/JDkQNLOr+0Yuup8fHbWv7TWWEGYa294p7miTmS+iY/lPWQmryh0c8k8Gs6f2IzWkYajkq5wKNlc5+Ti74v/Zu+vwOMq1j+PfWbe41t2VlhYqlEJb3N0dChQ7uBzcC7y4w8G1WIFiFSh1d/emaTzZrOvM+8duN7vJxpMmaZ/PdfUiO/LMPZvd2bAzv7nZ6/aTqdHwQVIqQ3VVl5VlGV/4OfTKChMW7UYmFAxantWeREDVDJ2l9gcDfO508pXbSUlUp7cxOj1PJiXzst3GDI+bgVotTyemMCRO7Y2RplbzRGIyN4a7cNkUBVug4maaLlnG1IY6arWkH9wuZoe70A3WajFIEkujrlW51GTm6cRk9geDrPH7Ip3PnrKXx4xzhcnMp67QjYpnej0HvZulVZZ5oLyMEjnIUK2OdmoNWSoVySoVvTVa0mvoVJasUpGpUlEoy3zlcnK9JaHR9SiKwvqAn1/dbn71uMgJxn4uZ6hUTNIbuNmSWK/ganX0ksTUpBT6aLU8ZSvnG7cLp6LwVkrTBLv0kkRPjYbtgQBjdTUfAxVF4VFbOR+7HDHTd2Z3QNPGO36pe/ZE8fvJH3ccAFJSEsgymdN/aOHKBEEQBEEQBEEQhLZKBM2EavkW/IvzkftBq0HO3dfS5dSZwZrP6D5ZFIwcTmLQTnLOBiSphJUjh5C/dGNLlycITUqXngK5BS1dRrNbt2IL7v7dGKwvIlha/Z0HNd278G+uo8aQGUDvNDOEs6fry/1UuT2bIAjCYUhrMrJl+uzIY0+5nQnP3dWCFQmCIAiCIAiCIAiCILROiqcEFj4EkgSuQpBb100a60JSPCgZQOaRgALyHiTKUbI6wsa6n0+b0CuJ2dtiL+qf8sMOZm0tw1/Hxm4On0zwxbEAnPL+ev7cYgUgz+6nV7qB1fudjHxlNcd0S2Talf3IsIQ6Yo3plhhZ7+Zp2/h5YylP/LUH9/NjeH9JHmvzQjevm7/LRo90A2WuALnlocBH9zQ9O0u8nDEgjTZ+bXmTkCSJflkm+mWZuGx4JlsKXRz39jpKXEG6perZVepFAi4dnsHnK4pYs98ZWTfJoOaBCZ3om2nkxX9ymb/LxqpcZ5VtPHVyF84c0Po7xqgkkJW2cSGFVa4IiDgbEYwbptPzQ1oGV5QWs93p45gFu3ixfxbr7V7mlbg4MtmIUS3x/PaSmPXeSkqJGzIDmGwtpSxc07Wdk3l8azEAH6WkkdwEQauCYJC3HXZme914FfCjEFTAGtVRMlul5jKTmYtNZjLCYZ43U9J4s9Fbr9kpRhNfqlSs8Pl4yVER3L3RbBEhszraGwjwfDgwdrbRxKvJqQA8WF7G5+HQ2DOJyUiSREeNho4aDUt0Oi4tLWZ7IHSe+HSDkStMFo7S6yNBM4ByRSE56sD/l8fNLI+b0XoDHdRqdEj4FZlyRWGoVkdaDUGw6vgVhcdsVj5zxR4LF1e6qbMG2JzdAV0NH0RnGk2873TwpL0cmyJzpyWx3kE5RVHYGBUu2xMVLjNKEmrAoSg8mpDEtU0QZqtMkiSuMyeQKqm4o7yMv6JCsk3hwO98a1SoM54/PJ5IyGywVstxegOXmSxtPmQGoB88COcXX0YeK+XlJNw4GV3fvi1YlSAIgiAIgiAIgtCWtYXvR4UWoHg8OO69HcVWXvvCrZDBWkAXazh8E/5OSK0VL3fh0CMlmFu6hINm+8ZdOLtkM7pfBsHde1Hcnsg8Td9e7NZZWLFwHbV1JBs7fijS0mWRx6XFbfM4JwiC0JQGXHgKpoxU1DotpvQUOowczLGP3UrmgF4tXZogCIIgCEKbpJJC/4SGEc+dIAiC0OqtegWcuS1dRaNJigeU7bETlWD8haP4gzKyAnqNiqdO7srsbWti5v++ufobxl0yNJ3VeS42Frgi07qlVXQgKXZW3EhOo5I4a2Aae6xevl1dzLxdNga9sJLd/x2BQRsb1pi13QqATi0hSRIb8mMvYnd4g9g8Ffv21MlduXBoRq37ejjaXuxm4jvrKbD7GdLezKwbB3LHTzv5YmURq3OdLLhlMHl2H0kGDbICQ9qbI+G/Y7oncd232/hxXSiQNL5HEv/sCJ2H+XVjKfcf37HF9uuAhbvKufSLLRQ5A0welc1LZ3SPzPtuTXGkQ1tThKGa23itjpfCP3sDtb93q5MTCHBLWSmXGc387HGz0evn8lX7I/MXllW8nxK1Wq7QGzlCq2WkTh93PJ8s82e4E9UJGWaGJxkj87pqtA2qUVYU1vr9OBSZvzwevnI58Faz7GidnitMZk4wGFssQDJWb2CMTk8/rRYtMEpvwHAIhFkOhmU+L5eUFEV+vwOjXjOPJiYzWqdngFZbJWzVTq3hr/Qs/vF66KTW0Edbsd71ZgvvO0MBox/cTq4xJ7DW7+O04sLIMl+7XcTTW6MhSVKxJeDnBnMCPTUaJhmMaKv5fS7xernRWhLTUQ9gvF5PT42W3GCQ38NBqwC1X7T1UEISauAdp4NXHXZ2BgK8lJxa6+tJURQ2B/z86nHzq9vNrmDF56sBieMNBk4zGDleb+DskiI2BfzYm7mT4/EGI5SX4SMUxqvuOawPJarmrKhQoKIo/Ndm5We3i0SVivZqNUuign6/pmc1etuthf6YY9AOGAA//4IqMRFNzx6Yzz8f8yUXtXRpgiAIgiAIzU6cj2sc8dwJglATkbwR4pLLStpsyKw6XS1OipIS8JXbW7oUQagTfUYqxt5dcckyWq0Gz7L1BKPCVQCKq2nv9tXa5e3J5/s9AAoGcyIpaUnodBr2LN9FKGBW+1++mV4nB061qYYNofhf0elQEITD29Crz+HUtx5Drddx8mv/rfedMAVBEARBEARBEARBEA47jr0tXUHzCeRD58Gwd23MZEVRuGP6Tt6YnxeZNvfmQYztnsQNR2fz3uL8Og3/3xM60yfTxNVfb+XT5aEL/I/tnhSZv2KfIzwtkTk3D45Mn9Arn8nTtlPk9DP17308ckLnyDxvQKbcE6DUGWRYRwtfrizkg/N7MX9XOVZXgClj2nHViCwkIN2ioUOSnhP7pLAx38W0NUXcOLodWQnxuzIdbnaVeJj4znr223wMyDLx5w0DSTVp+b8zu/PXFivr8138tdUa8/xHSzZq+O7Kfji8QZy+IFkJOm6Yto0PlxSweI8dl0/GrK9/d6DG8PhkPlyaz6B2Zt5dXMjXqwoi8175NxSmOhA2y7FWnIcrlWV8soyuFQfOOmsrXrcra+nkE22tz8fFpUVVQiUbHX56qqteQjIiMYFcj5cxag2PJCaTVMtzEj1CjtvPmctyAEiRJDpp6n+Jyjyvh2ds5WyotI/DtTpuMCfQXq1GJ4EaiUSViuwGdKBqDpIkcYLBWPuChzlZUVgf8POv18NcrycSBhqk1XKx0cyFpoobr+olidOMpmrH0kgSE+M855PNCZGg2WO2ch63lVPXSNXWQEVA68WoDnUHnGwwcpclEQX4wuXgE5czZuz/WBI5x2iiS9Rrv3PePgBG6fSoajkno5IkHkxMpodGywPlZfzicbOvpIjPU9NJqPReVBSFrYEAv3pc/Op2syMqXKYnFPQ6EC4zh9ed6/WwKfze+j+HjbleD7uDAT5MSWNYNWHShjJG7etGv58h1XRErI9fo7qjjYqq9zePO9JRrjwYJCeqi9tHKa2/u2ZdmS44n5RnnkJlMpFw4w3iHJ8gCIIgCIIgCILQZETQTIhL0ulBp4OoO/q0dUm5mxnXN5mN6kEUb9pD0O0l6KnuPmeC0DI0FhPGYQMozC9m59ZdUFQamZfaMZsu6SmUr94UmebYuAO1VkPQH4g33CFMwuN0k+d0Rx7XVakxgSRAdcRg5mxo+3ecFQRBaKjETu046dWH6Hf2pJYuRRAEQRAEQRAEQRAEoW3RJoCntPbl2iBJksCwF6X/INibB4oCzlK2FbtjQmYAx761jl+v7c/b5/Xk+dO60u7xJXj81V+6f8XwdHpnhAIAH13Um/9d2KvaC6Ln7rShvns+APNvGUzn5IqLx12+2M5NpvsXRn5evs/B5V9uJfjiWPY9clSVca8ZmQ1Avs3HoBdXAvDEzBwCL4w57C/OVhSFM/63kRxr6PzpzBsHRjqVpZu1vHp2dy75fAvPzM7hnEFpDGxnrnYsi16NJRwoe+XM7ny4JBTucvkPbtBs4a5yjnlzXY3LvPLv/kjg7ITeyZHpMvCKw869iUnxV2wFogNfOYpcw5Kxzi8twl1N56LtwdhzjhLwvTkJqv91V6FSqVADQWCTwxcZ56Wk1LoPAuwJBHjMZmV2uDuaHuik0dBdreEqs4UxOv1h/75tq9yKzC9uN/96PSzweat0/xqt0/NhSlokDNVYr1YKiEW/+m+3JHBXQhKKoiADK3w+zistAuASo4leWi07AgE+D4eWKvvd4450KDvgDIOR/yYmxw09Plxe0fXzvoTEOu/DhSYzndVqbigrYZXfx6M2K/+XHHpPbfH7meFx8avHzfZAbLhsvN7A6UYTE6LCZdE6VqpxhT/0nn3dYeej1KYNmukliTE6PQt8Xm4oK+HH9Azaxwm31sfeqGPWLI+bJT4vpbIc8zt5OjGZZJUKsyRxpE5PYisOENeVplcvkh99GOPxx0WmieOhIAiCIAiCIAiC0JRE0EyIS5WWTtLn3+N44E6CO7a1dDlNRue0MkRZCe3B3q4n82ftaemSBCEicUAv9lptlP67LO780n35lO7LZ+i4EQRz81ECQbRdO6BZseEwDJo13D9zVpCWlUXJvE21LywIgnAIO/fLF+k89kiCPh/qqLtGukutrPn0Jzb/NJuzPnmO5C4dWrBKQRAEQRAEQRAEQRCEVuiox2Hzp7BvTktX0mykQA5KOwVJklCk4XQNLGV4R0uk49gBZ3+8iQuGpPPhhb1wPjuGyd9u5YOlhejUcCAPZtKqmHfLYPpnmTjh3fX4gwrfXtGHzIS6XcA+9o3Y7moPT4rfTeuAvpm1dxB64LfdMY/LPUGSjYf3qXNFgVJXRceohEqBsAuGpPP1qiJ+3lDK9d9uY/6tQ1CrJIqdft5fnM+8nTbKPQEGtzOzu8xDIKggSfDYiV0waVW4/DK/by7liiOzmrx2hyfAY3/tRQEW7LJR4gyws9RT7fJTE5Ppo9VydkkR0fGWv7ZaY5bLl2NDja3N725X5OcEqebghE+W6Vmwv8p0TfjfSJ0ej6KwPRigNCr0k9bAQMZkcwJvOe2ogXOMJu60JNKhHt3M5no9TCkrwaYoaIDLTGbuSEgkVdU6upUJDZcXDHBuSRH7ojpMmSWJ0To94/UGxukNMd2/msJncUJig7VankxM5ohwFyxJklADI/V6EiUJm6KQEwzyXDjM9UxSChv8PvYHg7zmsKFBioSyon2QklZtJztFUfgkqpah2vp19BqlN/C/1HTOLyniO7eLHhoNv7rdMd3+dITCZacZTUzUG7DU8h7uodGyO7sDZbLMFy5npGvbZaZ6pEvr4a2UVM4tLmJ7MMDlpcV8n5ZJciOCX8foDTxvD9U8vVLgr59Gy9dp6aQcascNnY6Mzz9B3bEjiteLpK/4e0rx+XDPmo3zm28xHHMMCddd04KFCoIgCIIgCIIgCG3Z4f1tuVAjTb8BGK+7CccDd7Z0KU3qwE18DPbili1EOGxZendFzkrD7w+gKCAHgwT8Adas24oi1363wdXRQbQ9VU8ICbWRKCk4NO80KwiCUFftRwyi89gjWffVr+QsXMUprz+Mz+Hk99ueYv1XMwiEu77Oeehlzvn8xRauVhAEQRAEQRAEQRAEoXWRjGkoA2+A/fNBrnqR+aEi0hlD7UenUbH0jqEEZYX/m5vL/TN2A+APKnyxsohbx7ZnROcE3r2gN+9e0JsZG0uZ8sN2kgwa1ue7GP7yaqxPHc2WIjeTeiXzx2YrV4yoGjj69JLeXPHl1mpryn1kZJWOWAtvHcLo19dEHp8xIK3G/dpb5uHT5YWRx2pV1VDV4UilkjipbwofLws9NyNeWc3cKYNJN4e6mkmSxJvn9GDujnKW5jh47M+9fLWqkN1lXqKbYy3eY48Zd/a2iqDg8hxHkwfNLvl8M9+srvm8r1mS8CkKfuDFxBQuMIcCFDPTM5lYXEjl3l46YLhOzyOJyU1aa1N7PqpL07yMmp/Xo4ryq0z7LCWNY+MEYk4szGdTuEvQmdUEZmpzf2IS4/V6Bmp1tQZdKpvlcXNtWQkKMEyr46XkFHpotA2qQ2gdNvh95ASDzPa4+dbtirznTjYYucZk4QidDl0zdmOabLbwrjMUlP44JY3ja3ldJ0kqbEqQvEph0wFaHQO0MClq/V0BP8/bbSRKKqYmp9Q4bnTHqZeSUlA1YJ9H6PTcZE7gTac9ErBSA8dHhcsS6vmeU0kSaWo1l5jMvOe0Y1MUNgX8TKBh7/+apKjUfJaWztnFRWwLBLi6tJgv09Ix1hKWrc5grY5pqRl84XLgJRSOVQCXonCXJfHQC5kBprPORNOpE47Pv8C/YSMpzz6NEgxS/sKLOD//Erk0dC2EZ/YcjKeejKZduxauWBAEQRAEQRAEQWiLRNBMqJGqY6eWLqHZBIyJQNU7VwlCc1O3y2Dt3PhdywRBEAThYDjmwRvxWG3MuOkxuow7EkVR+PGK+9j848yY5RS58iUWgiAIgiAIgiAIgiAIAgAaE+gSwXMY3NhQqTilrFZJXHlkZiRodkDP9NiL0U/pl8IlwzJ5fs6+yLSfN5byf2d0Z2Ohi8uGZ7Jin4M1+x10TzUwvmcybn+Q/eU+3jynBxcfkUGSUcOpH2zgj81lAHx/VT+yE6t2fzmqSwLBF8fi8Ab5Y3MZJ/WNf6F/IKigVsE7i2IDN73TjejuXcAjkzrx6Ild6vXUHGrOGpgWCZptLnQzdc4+pp7eLTK/fZKeqad3Y/K07TwzOycyvWuKnnMHp7O7zINaJdEv04SiKDwxMydm/H6Zpiav+fdNZdXOUwP/ZmTTSaNBlmUCgC4qgNFLq2NXVnusyHzgcJITDHCkTs+VZkuT19nUfnE52R3uCGUETOrqwxS7An5K4tzsMjpktsHn49qyEvZHBWuGarU8mlRzcKYmR+sN9V5HURSes5ejAGcbTExNTkHfjAEkoem95bDxnL0iBDlcq2Ol31cl0NlJrebFpJR6h6Ia4qHEZC4xmUmUVKTV8F4BWO3zkhN+H4yoQ8exbhot76TUHHCOdorByG8eN/O8Hs5vYNew/yQk8pfXzbZAAC0wJyO7SbrApavVXG228KrDzipf8wXpO6g1fJaazrklhazw+7i5rJT3U9LQNPC9fpRez1H6unVJbfM0GpLuuI1ATg5lDz+KYewYAKyPP4njgw9jl1WrIdi6O3MKgiAIgiAIgiAIrZcImgk18nz5SUuX0Gz01jwkjQYlEGjpUoTDjCKu2RcEQRBaUNaQvvQ5cwI5C1bgLbcT9PlZ9eF3VUJmmYN6c8qbj7RQlYIgCIIgCIIgCIIgCK1c3vzDI2QGIHliHmYmVL3wfnuxmxGdEwBQ3z0/7jBXfLmVx07ozCMndAbA45c5qnMCj/+1l/E9k/lxXUkkwLZwt41PL+nDjOsG1LlMi17NeUPS4877bEUhV321laM6J/DFpb2ZtdXKin0OMswaNhW6Afh6dXEkaKYoSkznmcPF6QPS+O36AZzy/gYAXpqby4TeyZzYpyJsdO3ILL5dXczsbVYsejXvnNeTC4eko1JVfb7un9CJGZtKsXmC9Ew3MLZbUpPXHL3Zq01mzjCaGK6rGjhQqVTEi4yoVCpSUXFvYtPX1lyCisKU8oqA3ZgaAhayLHNOSVHk8TOJyVxWKUi3I+DnlJLYzm4S8G1qRlOVXGebA362BgLogCeSkkXIrA2KDpkBrPBXBJZO0huYZDByntGEAg3q6NVQ3erYFe+mstLIz483Q1fDTuGgW1Gc8Gdd6SSJD1PSecZm5UqzpUlCZgcMC4frZno9LPF5OSrO8bQp9NFq+Sg1nXNLipjt9fCozcrTjQi2Hi7Ml16MpmtXXNN/Bq8XxevD9fvvVUNmGg3p776NpmPHlilUEARBEARBEARBaPNE0EyokVJe3tIlNBt1wE9y726UbdzV0qUIgiAIgiAcNMc+MgVJkijbFbqbdFKXDuxbsiZmmeRuHbnsjw8wprSdiysEQRAEQRBaE0lSkCRxp5mGEs+dIAiC0Cb4bLUv08bllrjZXeCiU7qXfTku0gwSvdINcQNYn68sZETnBK74YkvMdL0avOFmGmcMSOWxv/bycDhoNrprAnvKvHx5aV8AVuU6I+sVOfxMeHsdeTYfb57bg+N6JjdqX676aisAS/ba6ZisZ+kdQ3H7gwyYuhKcoZtSmrShrjoP/babnaUevl1djEWvxuOXCcgKwRfHNqqGtuLEPil0StaTY/UCcMr7G1h39zD6Z4e6kUmSxPRr+jF/l43xPZLQqqvvRqTXqDhnUPzwX1NRh5NmlxhNPH6YhBSW+7yRn3XA/2oIhE0pL4t0M7svIbFKyAxgntcTCZklSBKd1BpeSErBcBA6TUWTFYVn7KHrE47TG0g6yNsX6k9WFCRgdzDAJr+fiQYjCZKEPXzn1ZPDj1NUKu5PSEId9fnRWiOEBVFd/WrvZ1Y/ewMB3nU6ABhch25p1XErMh3Uat5Lbfrj63i9geFaHSv8PmZ53M0WNANwR92hd42/+TqoHSokg4GkO24HILBnDwCazp3wLV0eu6BaTdpbb2A86cSDXaIgCIIgCMJBJ87HNY547gRBqIkImgk1Mlx8Bf6F81q6jGbTvltqswbNVHodkkpF0O2pfWHhsKG01m/NBUEQhENex6OH0vesiQCU7cgBQPb70SWYI8ukdO/EZX9+SEL7rBapURAEQRAEQRDaEkmSJgKTgGFAKtA9PKsU2AmsBGYqijKrZSoUBEEQmk37Y2DbNPCUtHQlTeKPFYWc8vhSRvRKYu6zo9FpVJz77AqWbrXGLGfUqjhnUFqV9Y/vmcx3a4r4YlVF56RMiwZZBq8rFOT6eUMpk3onc8lnm7F5Avx0zQC6phoiy2vDXV4A3AGZeTtDYb435uc1KmhWFt5+xXZU4X1Rc9WILB7/ay8Q6hIF8NycfZFlHd6KwMHMrWVM6n14BJlmTh7IpV9sYcW+UCBi0Isr+e7KvpwdDo0ZterD5rlojUqjOiFl1BDGmul2M8MT6th3kt7AFEti3OV+coeW0QEbsjs0XaH1tNjnZa43FKK7Ok4gTmh5xcEA95Rbme310FWtYXcw9vjaWa1mijmB5xyh4/ftlgT6NyJQ1RJONRiZHn7fDC7MY30TviecSsV793SjsUFjLPF5ubK0GJeicIxOz20JiXRRa5CArKjP0YaSJCnShW6Wx0ORXIqiwI0WC/2a4HepKAp/eDz84Hbyp7fiOprj9IYa1hIAEm6ZgjordO7OvzN0nZMS8COZK87xSUYjqS+/hOm0U1ukRkEQBEEQBEEQBOHQIW4BJdRIO3osmsFDW7qMZtNlz2LGTupOj4nDMGbFnhQzd8pu8LhHndKPkwf4OamXkxO62zn22GwGnzqMzOF9kcSd1wRxEwBBEAShBegSzJz16fORv0XKdoaCZjkLV5HepxsA/c87kRtW/khqzy4tVqcgCIIgCIIgtHaSJHWXJOldKXSrx5nAvcBEQmGz5PC/7uFp9wIzJUlSwut0jz9qs9T4vCRJKyRJKgtvXwn/vCI876DUIuo69OoSBCFMbYBe57d0FY3246I8jOf+ximPLwVg2bZyTn5sCfpzfmPDHnuV5d1+mS9WFlWZvrnIS4ZZGzOt0BGgQ3LoovThHS0EXxxLikHimzXF/L7FypVfbQZgd1IvpszO4d/9Nsb0S6F9qoG+vTpGxrn+6NA5O1lW+GtLGQt32/D4ZepKp664A+CFQ2O7v/xnXHtGd03ApFUx+eh2Vdb97foB9EwPXfx+0nsb+HNLWZ2325b1yjCy9I6hMdPO+2Qzn68oRJZb54muw+kM7CRDRUDFp1T/+/jWXdEl8J3k1GqX66oJhVPq/q5qnIJgEG+curcEQqGlCXoDo0XopNWRFYWjC/OZHQ4H7Q4GqnT82hsMRkJmAB3Ube/e16+npHEgrmVTFN52NF0H074aLcfqQx3CPnWG3p/5wSDvOews8tZ+82KvonBrWSnJUuiIN8/n5fySIkYW5jGiMI9X7BW1uhWZl+zldM7bR+e8fVxUUoRDrv1d7o4Kw+0IBvjB7eJHj4sTiwvJCQRqWLNm5bLMx04HXfJzmWwtiYTMEiWJaakZ3JWQ1OCxDwf6sWNIvO2WyOPA7t0AeJcsRdM9dI5Pd8RQsmb+iemM01uiREEQBEEQBEEQBOEQ0/a+1REOKvutNxDYuL6ly2hWiXlbSAR6p4NjUE8CGgOW4j1o3DmsH3ckOf+uqfeYmqAPKXzOSpLAXJKDuSSHjoB3ZAprvR0oWrWlSfdDaDsUkTQTBEEQWsBZnzxPWq+ukccFa0N/i5Rs2UVCh2zuzP0XS7tMJCl+602P1UbZzhxKtu0hb8V67LkFTHj2LpI6tz8Y5QuCIAiCIAhCqyBJ0rvADVGTZhEKm80CrIqi7JQkKZlQ0OxIYDKhABrh9W6QJOk9RVEmN1N95wEPRG1zVvjfsvDjEeF59wL3SpK0EnhWUZTvmqMeUdehVZcgCJXs/RM2ftzSVTTabe9twFsptDV3fSkAzqhuXgCLXhjDqp02Zq0u4u91pZQ5fJF52b26c2xHD8vvGII/KDPq9XUArNnvon2iNtIZa+a28sg6P6wtYebWMk5676MqdX01dwu925vo3cHCbn0Kl3y5nQyjxBsL8iLLBF8cW6d9NOvVLLx1CEv32rllbGyYLMGgYd4tQ2KmfXZJby7/cisAp7y/gUW3DWHUa2sij+u63UPBiX1SYsJ1V361lXybj7uP61jDWkJz00R9h5tUzfe5ABcYzZEwR54s0yHODVF/cDlZEO4iFgAKAgGyNE13GUlOIIBTUUhXqVjv9/Ou084Cn5eROh3fpWXGLGsLh2AyVY3vyiQ0vSDgqzTt+7RMyhUZn6JwlE7PJy4HU6PCTm31rPhf6ZlMKC4E4Fm7jZuq6QZYX5IkMVFvZK7XS6EcZJrLyV3lFcfYD1PSYoKklb3rsJMvhz6bX0hK4Z7y2PDz/zlsdNdo+MjpiHQlO2Chz8sRBfu53pzAbQmJGKo5dqzwVf4tV3jLaefZpPp3s7zPWsZXUcHXA15OSuEco6na81JCiKZbV9LeeRspfGxWAgH8m0Pn+IJ79oKi0H7lMlQZGUjVdLVTgkGCBYUEc3Lw79yJb+1a8PlJeuA+1OnpcdcRBEEQBEEQBEEQDm8iaCbUSC4rg0bclagtkSRIyN8eNQEGlq6g3alD2FOoULBsY8zymcP7AlCycTdBd8XdpSSVCq3XUe129I4yBiXr+NdsJOB0N+1OCG1CW/1CXRAEQWi7xj0yhX5nT4o8Lt68g4I1myOPEztkktA+K/JYURRWvPcNK975Go/Vhqu4DJ/DVWXcnEWruXHNdPQJlubdAUEQBEEQBEFoYeGuUSsIdSvbCdxXXahHURQrsDL87z1JkiYC08LrQihsdgEwXFGUnU1UX3J4GxPDk74Drg/XEu27qOXfB84DpkmSVN3yoi5RlyAI1fE5QK7+Yuy24rLxHXj++x11WnbUPQuqnXfNK7PYesEgHj3vWEwXvhEzb7/Nz+g+2ZDRjdfOKebyLzYjAf85tgOnvb8h7ngOT5Ct+11s3e/i12WFVeYnGeoXRDmqSwJHdUmo07KXDMuMBM0A8u2xv2dFUQ6bi+J/ubY/83aWc+oHG/EEQiGgf3eWc9f4DigKqFSt53koqEOnnkNFUdT5e1UNJx4nGY1oreAH3nTYeCZOV7M7KgVVRhTls7dd9UHCoKLgUkK31ZQBLWAOB9gURaFMkSkOynztdvK3x8OOYPxrDZb6fLhkGVNU+M0W7qSU2IpeV0IFrSQxxWThTVfFtRBDdLE9zW6xJPKHx81avx8AtyyTHCfg2Nr10urorlazMxgKdQ0t2M/qrKa56d4iXyjYOcfrYU6lLmbXlpXU+P7LC4fMhml1XGgyc57RxDyvF6NK4vySULfRW6ylcddNlCRsisIbTjtzfR5mpGfFXS6622CKpGJRZjY/elw8UG7lX6+n3p+Ba3y+mJDZNSYLpxuN9NdqMUpt77VxsKlSkkn/7FPUqRUBP/fMWSi2ikCnOjsbdXZ2zHq+jZsof/Y5Ajt2ILvdyMUlEIy9gQCAd9lysv74DZWp+oCjIAiCIAiCIAiCcHgSQTOhRpLx8P4yQUIhfc9q0gHX+I4UmTqiliDBbyVx/3okFAJ99azV9MeeX0q7vh1oJxdiKqj5+hCDtYCB40eyesaqg7MjQquiiKSZIAiCcBD1OeN4xj96S+Sxdfc+Pp1wFQBZQ/oy+p5raTd8YGS+3+3hl+v/y7ovfql1bOvuXII+f5PXLAiCIAiCIAitiSRJw4DZhIJi9ymKMrU+6yuKMkuSpOFUBNUI/3eFJEkTFEVZ2cj6uhPqqtY9PGmyoijv1VKTFThfkqQbgHcJBZWGSZI0vKlCSqKuQ6MuQRBqoDG0dAVN4tkr+3H7Gd0Y/p955JV64y6TatFS6qj9O6DPZm+loNRa5TzImzcfxY0npiNJZVxy0WAMqdkc1cHAf6ZvI9DAcyYb7x3esBUbYGKvZG4e3Y63Foa6qc3baWNcj6SDtv2WpFZJjO+ZTNETR5Hw4CIAZmwqQxMOHd57XEdOH5BKhlnLliI3E3slY9Ae3OCA1R0KMmW0wTBLQ22LCm9dba75JmBDtTqW+X386fXwTKV537iqdhgCWOXzcoROX2X6/9nLecVhrzK9k1qNHolcOYi70gFADSRIKqyKjEmSuNBo5qNwUMmpKJiili0PhwWTDqPfZVtzrtkcEzSL5w5zItdYSwA4qpbgYmv2c3oWAwv2A1Aqy1xTWsz/Uhvf+ekYvZ7fPLE3JO6v0bIxEPqczQ8Gya6mK5U10vUv9B5RSxLjDaG/R/5Mz+TE4opg9jCtjo9T0yNBP6cs0y+8P+v8fnYF/HTTaKtsIzpCdntCAiaVitMMJh4rt5ITDPKN28VFJnOd9/f0koqaFmVm00EtLlOrM62WtA/fR9u9W2SS55+5lN5yGwC6oUOwXHsN+lFHR+YrioLzy68oe+hhqKE73QGB3buhmkCwIAiCIAiCIAiCcHgT/wcv1EhKSm7pEloNU/E+urCvynSN38sw/xpIAvJy6jxeu91LyR8xhPxKndKEw4FImgmCIAgHR7vhAzj7sxeQVCpsuQX8NuVx2o8YRFqfbnhtDk579wkWPP8+M++ZilqnQ/b78Vjt+F21d13NGtyHcY9MwZSWUuuygiAIgiAIgtBWhTtGHQiZTVIUZVZDxlEUZackSecTChIdkAzMliSpW0NDQeH66hVOqlTXe+G70b8bHmNFU4SURF2HRl2CINRCV7fuWG1BdoqBXx4eyZH/mRd3vt3tp12Kjryymi9YLi738dGs0LmyzukGTh+ZxQPn96J9WkUoT1JcnDspFIyxfV3eoHozLRqyE3W1L9gIE3olM3ubFYA/tpRxw6jsSNAs2IrvKDhtTTE3freNDy/szVkD05psXJNOTdETR3Hjd9v5fm1JZPrUv/cx9e/Y86cfXdSLK46M3ymnOSQZNZS6Dq+L5Jd7o0KhtTQWmmQwsMzvo0iW6Zy3j38zspjudjPTW9F1CuB6k5n3w8GzM0uKuMWcwD0JiZHORX5FiRsyA8iJ0yVngEbLFEsC4/QGElUq/OH3jVaS+MbtxKUoOBWFjKh1bAeCZqLLUau1v9Lv2hqnY9lEoxGsFY875+3jfKOJl+J01GvNElUqZqdnMiEc3ppVqftYQ11qspAkqdgdDDBMq+NInR4V0D0/F4BXHDaeS4p/3mVGOKDWQVP1Uq9+Wh1fpqbzmM3KaQYTdyQkxsw3q1TsyO5Aj/B2VNUcPEbo9JxsMHKkVsfVptDndZJKxeVmCx84HTxcXsYkvYG0asJw0fKjXi8aECGz+tBqSXvtFQxHh0Jk7tlzsL/3AYbjx6Pu2QM5L5+UZ5/G9vqblD/zXGQ12emM6XZWE93IESROuRlVwqHzN60gCIIgCIIgCILQdMT/xQs1Upw1341KaDhJgoHqvfgG9KB0w46WLkc4iGS59Z6AFARBENq25K4dOP6ZO+k+cTRqnRatyYBaG7oj5ddn3ETeyg1smT6b1J5duGbBV9jzitj848xaRo2lSzAz4Zk7OfKmi1HV4USiIAiCIAiCILRx7xMKhJ3f0JDZAeHOZrOAiVGTk8PbOL+Bw86mIpz0Xn3CSVF1vSdJ0iRC3bC6A9OASQ2sR9R1aNUlCEJN/K6WrqBJDeuRxH3n9uD572PPWZn0alzeYCRkplFBQK6Yf0z/VOZtLEUCHrigJ69M343V6eeS8R155oq+NW7z3nN7MnN1cb1rLXQE+HVDKaf0S0GlqiVl00C3jG0XCZqd/8nmmHmvztvPcT2Tm2W7jXXRZ5s5d3AaP60radKgGUCqScs3l/fl1A828ueWsmqXu/rrbfTJMNE5Rc/mQhfHdk9qtt8T1JqzOiRlShV7/YvdzqWWxLjLyYqCXGnauKKCKsu9m5zGyUYjiSo1LzlCAYU3nHbecNo5Tm9ghE7HK/aK4MJFRjNPJiUjAS5FYZ0/dHzoqFbTTq3BoygkSVIkpAahgNkBB86Ubg346RoVmLGFw2iJoqNZq/S3x82VZSUx03yyDHF+Xz+mZXB2SVHk8TS3iz89bhZntsPShn6/vbQ62qvU7JdDgakvnA4uraWLYF2cZjRVO+9Xt6vaoNkgrZZ1fj+rfT4URYl5jwGM1RuYlZFd/djhoJoEmKX4R88ElYp3U6p+ftyTkMh0t4siWeYWaymfpKajizOGT1FY5vOyLxgkTaUiXaWiWJYJAHnBAO1E2CwuyWwm6Z67MEyciKZTRxSnE1VyMgC+tesovvxKALzz5qEbPoyMP3/Dt2o17t9+r/e21J07k/zofzGedFKV15AgCIIgCIIgCIIgHNB2vsERDjrF6yWwfm1Ll3FI0znKGKHdQZfxQ1u6FOEgUlrxnS4FQRCEtsuQnMgVsz9h0MWnYc5IxZCUEAmZAXQ4ekjk59Lte1j7+c8ktM+s1zYs2RncsPx7Rt5ymQiZCYIgCIIg1EAS/xr9rzWQJGkYodDOd4qifNdEw74bZ9p5kiR1jzO9RpIk3QAMi5p0X4Orguujfp4YHrtBRF3101rrEgShDkrWtXQFTe7ZK/sRnH4q1q9PjEzrmmmMWebBC3rGPDbrJe47twcK8NiX2+jRzsTCqWN4+vI+5BS5Wb/bxgs/7GDR5jK8/thOOHPWFKFWQb+OFvp3Mter1jM/2kinJ5fi8cu4/UFW5zpw+YK4fEGs7gAuX9UOS/UxqXcyx3ZPJNOiJSsh9O+APhnGGtasn/rcnDBYh2Un9Erm7+3lHN8rqTFlVUuSJH67fgDFTxxN1xR9ZHqKUUPvqOdl9Otr6PjEUia+s55LvthSp9ob63A6+9ZfX/HcL0ThrkrhHwiFzC4uLeY5e/WdbSbqDZykNzBSF+oQeHtCIgszsukaFQT52+thqt1GdD/Dqckp6CUJnSSRrFJxjN7AMXoD3TRaDOFp1YUXgoqCO3yutPISBzqaJYrgQ6vzr9fD9ZVeZw8nJJIZp7MWwHCdnr3tOnK0ruK1alMUbrWWNmudzWFaWkXfvQdsVnrl7SMgV45wNo4jarxhuuo7dv5fUqgr3Aq/j0/CHQjr441wkPQmcwLp9TzHY5RUPBsOwC3wefkwfNPqRV4Pk4ryGVOYxxWlRfTMz+Xi0mLuKS/jmrISiqP2bUF0N0ahglpN+icfkXDD9Wi7d0PSaiMhMwBNt66o0tMjj30rVuL+40/U2dWHCqujH3cM2bP/wnTyySJkJgiCIAjCIaGlz2UdCv8EQRCqI24VI1TLN3c2NODLKaF+1AE//YuWkXjq0az/cw1KINDSJQnNTBEdzQRBEIRmcOrbj5HSvRMAQb+fFe9+Q+n2PfQ9exJdjx3JsY9MYe2nP+FzhO62XbJ1N5kDe5PYqR22nLw6bePMj54hrXc3AArWbeHv/75C/potqLUakrt2oOcpxzLk8jMwpac2z04KgiAIgiAIwsE1OfzfUkmS7gVmKYqyspFjVtcV7b6o7dVKkqRkYkNrUxVFsTa0KEVRrJIkvQccCCa9K0nSt/UdU9R1aNQlCELtFG8ZFK5o6TKahSRJJJq0fHzHUK5+dTUbcxwx80vsvpjHf6wq4Y9VFeGDFdvLGX3vAsYPTMEfhAWbKjpfpSfqWP/GsWQm6/lnXTHPfhfqnrZpn4MbTuyMSqVia64DX6Bu51Hy7X4SH1pIMHwNu1kr4fSH1jVpVSy5fSj9s004vUEe+2sv3VMNnDM4jdt/2olRq+K1s7qTYIh/utzlk1m0x44vGBrPoKm4f+vOEg+yrNS5S9fcHeUc/3btwcSjuyTwzeV9STNrKLD76ZKij1wEvmSPnQnvrGNYBwvfXtGX7MT4QYTfrhuAJyBj0TfvTaLKPQHOHpSGDNx/XEdW7Xfy9sI8HN4g+22xr5Fpa4r5eUMJe/47ErUEyUZNs3Y4OxzkBWKDlNM8bp6UZUwqFf94PMzxulni87Ep4AfgeL2B95NTKZRl3nHYKVFk7rEkkq5Wk1Cpu1RHjYZ/M7P5zuXkK5eTZf7Y32dj7Q5WnAsfqo19HZcr4aBZG+p4dTjY4vdzY1kJPmCYVstKf+h11VWtrXlF4Nu0DK4sKeZvnweAAZra1znYZFlGVcNrrpNGwyS9gZne0D54ge4F+7nNksDdCU0T6r2itKK755RqOhQC9NFqOUanZ57PyyM2KxcYTZjq+H4JKgo7w9eiDNFWH2aryQkGI/clJPK83cYbDhsnGAw8UG5lZ/h9nROsODaN1emZ76sIll1kNDPJ0HRB7UNJ0n33Yhg9KvLYs3AR7j//RJ2egeWqK1AlJJD0wH2U3XVPZJnA9h1YrrgcVVYmckFhnbajbteO9HfeQmUOhfu9y5Zje+VV/Nu2I2nUqLOz0Y8ahemcs9H2qPe9cARBEARBEARBEIRDjAiaCXHJNhuuqU+3dBmHDUmCTnsW026IGZVfJmiw4DOnkKPKYufsxl67IrQ2suhoJgiCIDSxniePY+BFpwLgKbfz1ek3snfecgDWfv4zN2+YgSUrnQnP3sXvtz4JQNnOHCRJ4owPnmL1Rz8Q8HgxZaah0evwlJWzY+ZCnAUVJzf7n3ciPU8aB8Cqj75nxo2PEvT5I/NLt+9h56yFLH/rS25a/ysafcNOVAqCIAiCIAhCKzIx/N9IVyhJkqYqitLgjlPhIJAVSK5mW3X1QKXH8Tql1de7RO1reBv13VdRV/201roEQaiBoiiw+lWQ/bUv3IZdcXxHks0aLnphJR5fRTeSN2fsrdP6czeUUfl0SLHNxxNfb+WNGwfx2/LYi6Lf+3MvpxyZwfo99nrVGYxqKnMgZAbg8sv8vrmUMneAcW+ujUy/5ccdkZ9HdLJw85j2ccft9ezySMgMwBOo2NAP60rQ3ruArfcPp0d6zRfNr8511ClkBrB4j50uTy2LmZadoOWZU7ry2rz9uP0yC3bb6PDEUn6+pj+n9Eup0o1Eo5awqNXM2WZlr9XLlUdmNnnHkrX7nRz39lqs7lCg4NV/98ddTquS8IdvvugNKGQ/tiRUo0pixX+GMrBd/brYVedwbMgix9nnfgX7udxk5tOoG8kakDjZaOT5pBSW+bxcVlrMgZjXrx43AO1UagZotQzQaumv0TFAq6WTWs15JjPnmcwo4c5oC8OBkZ/TMhtV+ypfRXAtvVJApjzc+ShJBM1ajZJgkEnFBZHHB0JmADuCfiZR8zHwfmtpJGTWS6Ph7sTm6bbYEIu8Hq4pK8GpKOiAkwxG3khJi7vsh6nprPJ5ObOkKDLtNYedD5wOrjFZ2BsMcF9CEp2q6fBWk5JgkOXhQOdVJjNHRXWBi+fppBTGFeWH6nI6uDWh+mBaNLUkMVFv4E+vh9cdNk42Niz0NdmcwJ8eN6v9fo4rCr02kiUVtyck8LPbzdaAnxvMCfwnIZHCYJANfh/H6A1oDseDdR3ojhhKws03AqG/Mcufn4r9tTci84MlxaQ89ijmCy/A/cuveP6ZC0Bg924ktZq0V17G+e00ZKcTdWoqktmM4vHg37AB3+o1MdtKeeYpVMnJKMEg5c+/gP2NN2PmB3bvwbt4CbY33iTrt1/RDejfzHsvCIIgCIIgCIIgtGaScpADD5IkDQDWH3i8fv16BgwYcFBrEGqmyDKOO2/GN/uvli5FAIo6D2Xd8jw8haUx0yW1GlOHTFy5hSjBYDVrC62ResQgti2r20lFQRAEQaiLy2d+RPeJowH4+sybyFm4ih4njKH7CWPZ/vu/7JqzGI1ex7hHpqA1Gdj68xz6nDWRQRefVu2YPqeL6Vc/wMZpf6A1GblmwVdkDe7D7IdeZsFz79VYz/nTXqX/eSc16T4KgiAIQnU2bNjAwIEDoycNVBRlQ0vVIxyeKn/n+VtyNr00InjfUNsCPk6x5kdPapH3tSRJ1X15ntKYDlGSJK0AhlWerihKna68C3fBKouatFNRlB4NrafS2GVEheDqWpOo69CpSzg4xLmytk3Z8hVs/bKlyzgoet4wh87pBrQaFTNXF9e+QpSumQbapxrx+WWW7yiPTFdJcNEx7bn51K4c99Ai/NV0L1s4dQzegIwsK0z47+IG1Z9p0VLoqD4QOL5HIi+c3o0X/s4lICsc2cnC/83NZWy3RH5aX1rtegec1DeFGddV/97dVOBi4AvV31DyqZO78N/f99S6nepoVPDUyV25Y1x7tOpQMCcoKzz2516emZ0DhLqkLbh1SIO3EW13qYcHftvNt1GvBYNGFQnhpZo0HNM9kUW77RQ5/VWChpXt+e8IOibXHKioi6xHl1Ds9HOR0cTU5NRGj9cWTHc7udVaVuMyDyUkcb7JRKpKjawonFpcyIZA3QKyWSoV4/QGLjdZ2B8McKM19H54MCGRyeaERoUX//V6uCzcven9lDRODHc4khWFbvm5KMDyzHZkqpu3K59QO6+icGFxISured2sz2pfa/e5vvm5uMIHg+1Z7dG1khDhUq+H80uLqXyY2pnVHk0NNcqyTPeC/chx5qmBdVntsdRzHz2KQu/83Mjjve061rrOtaXFkQ5rizKz6aCuW8Bte8DP8eFw2L8Z2XRtQDAOID8Y5IziQvLl0HUqt5gTuLcVhQjbkrQP3sN0yskA2N55l/LnX0A3ZDDGE08ElYTzi6+QrVbUGemkvPgCntlzCOzejemcszEef1yNY7v/+JPim6aA14t+zGgyvv0a2Wql9Jbb8Pz9T43rms4/j7RXX26q3RQEQRCEVkGcTzw0iPNxTau1nI8TBKF1Eh3NhBiKouCa+pQImbUiGXtXM66Lhdwjh1NW5qVgzXaCLg+Zw/vSbecKAr2z2K3LonjN1pYuVagjWY731bMgCIIg1J8xNZmJU++OhMwCHi8TnruLrTPmsuXHmUy/6v6Y5ec89DJTNs5g8KVn1Dq2zmzi7M9eIGtIX464+hwS2mcx94k3ag2ZAfjdnobtkCAIgiAIgiC0EuEQUHWOBGY1Yvjar1yv2QWVHn/XyPGifUtsB7cbFEWp/X8CQkRdh0ZdgiDUQNn5c5sPmc1aXcQJjyzhlesHcNvp3apdbl+xm535Lk44IoPflxdUu1x1fnl4JFqNitvf34BaVdF5TFbgy3/3M29jKfOfG83y7VamvFP1+pXR9y6I/JyZpKOw3FdlmdrUFDIDKHJLjHilotvHD+tKAPhpfSnpZg3FzkDM8kkGNeWeips/Fth93PvLLu4a34GshKoXNUWHzP64YQCTeqegKAr7bT46JIUCVg9M6MSi3TbW5bvQqSV+XFfCEyd15v3FBby9MK/KmMvvGMKR4ZoDMtw/YzcP/rYbVTj4E5BjYxOL99hR3z0/8viIDmYW3TYkEkyrjwejQmbH90zixTO6MTDbzPxdNlKMGga3r+hQ5vYHufjzLfyyofo/e4b93yoKnzi63nUI4A2/n9TAosx2XFJSyPaoG5NeZ7Yw2ZIQefyzxx0Jma3JakeKKhTisssyGwN+Nvr9bPT72OD3syXgp0CWmeZ2Mc3titnuM3YbSSo1F5sa3o3umKhuTX97PZGgmUNRIqGf2sJLwsHxpM1aJWR2hyWBNT4/76akYqjD78kTDpn11GhaTcgMYKrdhkLogqmuGg3bA6Hjfd+C/bydnMakarp9qVQqdrfryBdOBw/YrDHzgsACn4cTDaZ61WKQJI7XG5gTDo5t9vvpq9XWuM4HKWl0CYfT3nc4eCwpuU7b+ibc8VADJDQiMJqtVvN3RhZTrKXsDQa40mxp8FiHK1V6Okn33YPx5NBNGxW/H9OZZ6BKT8c7ew62V15FsVd0eZWLi7G9+BIZX3xW520YTzqR9A/fR7ZaMZ15BpIkUXTxpfjX1n5TZMXtrv9OCYIgCIIgCIIgCIcUETQTYng+fAfPFx+3dBkC4OszAklSUNuK0ezfTZe9i+kCeIdmsFnqQ5a7EABNUQE9KCRlwii2/70aRYSYWj1FPridJAVBEIRDT1KXDpzxwVN0GDkI+/7Q3wSO/CLeGnAa7lJr3HVSunfisj8/xJSeihwMsmX6bHb8NZ+yHTmotBrSenclrU830np3I2tQb8yZaaEuaA/dFBlj8OVnUrZzH+u/nkHQG3txj1qnJb1fDwZccDKDLzuz2fZdEARBEARBEA4GRVGskiRZieoKFaWxQbHGttqYXOnxskaOF21HpcfnA3UNKIm6Do26BEGohrLnD9jwfkuX0SArtlvRaVTc+NY6Fm0OdUG64/0NzFhWwB+PH1WlO5HDHaDzNbMB+OKffXTOiH/BfXXKvz6JBFPoNPTvjx3FJS+u5Ot/98csk1Ps4ai7Q2GyBc+P5uZ31rFml73KWACF5T5G9Epi8Ytj0Z/zG4GgQoc0Pbkl3nrVVVn7PC3V3aLZ4Q1WmRYdMgNYletkVa6Tl+bmcumwDD6+qDcqVei5nLYmtgPcpN4pAEiSFAmZHTCqayKjuiYCcNWILADeOMfCG+eEGl3+s93KJV9sYf4tQ+iaEhtoS9CrsHtl5Nrah0XVbLhvISlGDecMTuO983vVab1Cu4/v1ob26dR+Kfx8bUUnt2N7VO1iY9Sq+enq/nj8MuYHFgLw/KldOaZ7IqNfXwtAiSuALCuR56whSl0+ip2hIMwyX+NeD22JNxzJkggFPuZktqNz3r7I/KU+L3ZZ5hmblS/cLg68as42miIhM4AElYqjdHqOigp/eRSFxV4v15QVExu1DPnC5eBik5n8YJC5Xg//ej14FYXjDAZOMRhjxofQjW6/dbswShJnGE0xx5s/PG6eSwq9N8rD57j1hII3Qsv7NBxKOqAunbYq66BSkyMH2RuI92pqOWv9ofMb5xlNDNDqeDgcGvMBN1hL2GWseV8vNVu41Gxhu9/PKr+Xu8pD66tp2Gv3icRk5hSFugjsCQZqDZpJksTpBiO/eNxsrWOnwtOKC1jrDy07WKsjrZFdA80qFR+npjdqjMORbugQkp98Am3vXgTz85EkCcXjIf/kUwlsqf7m0qbzziX1hecBkN1u3DN+w7t4CYGcfUgqCU3Xrmi6dwv9t0cPNF27IKlUVbqeJT/4APa338Ez99+qG1Gr0XTpgn7U0SQ/9ECT7rcgCIIgCIIgCILQ9oigmQBAYNsW3B+8je+3n1u6FIFwZ7mVG5DtdtBoMB81DI0GgooK784cOu1bErO8hELamoWYRg9mw5pcAnZnNSMLrYFOL1r1CoIgCA1nzkzjmgVfkbdiPe8NP5cORw3mnM9f5N+n36k2ZNZpzDAu+P51LFnp7Pl3Gb/e+CjFm2KvO9z+e+xJpdSeXeg87ki6jBtBl3FHkty1IyndOnHWx89xwov3sv6b30nv040OIwcjqVVojQak8B1J5UCA9dP+IGfBSgrWbKZo0w7UWi1JnduR3LUDqb260PPkcXQ8eiiqRp7MFARBEARBEIRmFNMVKmynoigr4y1cD8lxpu2sy4rhTmvDGrJuHVXet4mSJCUrimIVdR36dQmCEJ9SvgN2/AS5/7R0KfXmD8j0v/kfduS74s6fubqYV37exX/O7B4zvSjcPUynUXHDiV3Qa1Vs2Ls9Mv/Xh4/kohdW4vDE3vzQYlRj/epEVFFda8ocviohs8rOf34FX909jGMfXIRKCnU9A3j4wl48+c02AJZtK0d95ozIOgc6pPXrZGHta8cw6p75LN8eP6gWz0iSOUJJZCbFced7AgoZ5tCp9CJn/IDEMd0SmbfLBsAXK4s4tkcSlw3PRK9RcdFnmyPLFTx+VJ3rimd8z2T2Pxp/jFV3HoFeE9slSKtWkWHRoigKs7ZZeXDGbtbmuWK6nZW5A3y4pAC9WsXr4UBbTZbmOCLP+deX961z7ZqozMWMTaU4fLFhvcaEzAJBhYFTV0Ue7wgGsctBElSH/veNXiX0y4h+9l5LSuG28lCQdK3fz4CCivfdgVuG/eJ2URYM8lZyKpZqvpc1SBLjDQY2ZnfgL4+b9mo16So148IhmLV+f0xg5YC/vB4eLy/nXJOJ680Wumu07Az4edRmZa43FAL80+PmzZS0yDqlssx6v4+BWh228D6JbmYtL6AoOCuFV69pYBe7wTodOR43PmCjz0d/XcufJ1/h8+IJ/zzZkkAPjZZROh3nlhRRrihUjRlXr6dWS4pKBVgBeKC8jImG+oWzIRQYPcBSx6Blb40WcJNWh/fMK3ZbzHv2noTEetcoNJ5u+HAyvv0K1/SfKbnxZnTDh5H+zlvYP/6k+pCZXk/SnXeQcMsUUBQcX31N+bPPIxdX+vulUnBMSkxEP3wYuhFHoj/ySHTDjkBlMmEYdwyGcccQ2LsX918z0fbvj27wIJAkJIMBKeq16Fu7FvefM/Fv2YJ/8xaCxcWoUpLRtG+PukMHtD17YDjuOLQDB1S5aYEgCIIgCIIgCILQ9omgmYD7y09xPf8EiE5YrYYkSSSZnMhDhuDcUYBzQd1uZmvcvJYBgwexI9eJY/d+Oo4dSunO/bjCnU6E1kHauZeEtBTsJWUtXYogCILQBp31yXPkLl3Lt+fcAsDwyRcCsGvWwirLdhp9BGd/9gLJ3ToiSRLrvvqVHy69G+pwh+PS7Xso3b6H1f/7HoDETu3oMu5Iuh53FD1PGsfIKZfGXc/ncPLJcVewf/n6KvMc+UXkLg3dsXje0+9gzkyj9xnH02PSaBI7tSOhXQaW7Aw0Bn2VdQVBEARBENoUCcQ1No3QSp47RVEmhy+WuiA8aRZwXxMM3T3OtLqGjCZWntAEwbdoy6vZ5ne1rCfqit1mW61LEIQoiqLA5s9g+7SWLqXBXvhhR5WQ2YQh6fz26Eiue30Nn/2dy10fbqRDmoELxraPLNMt28TcZ0exKcfBpeM7sGSLlWemVQTN3vkjB7ev6nnFKad0jQmZAdhctXex2V/q5dgHFwEVITOAJ7/Zhk4j4QtU/S7rwJ8LQVlBrVZz5tHtWb59S8wyRlS4ia2zC0YuoD1mQhdSP0BP3AR4hd1VtqEoUByuf2y3BBbvcdA9zcDXl/ch06KjXaKOo19dzbIcBwA3TNvODdO2M6ZrQsw46eaaO9M0lFmnolta9YEGSZKY1Dsl0k3N5gkw9vW1FDn9FDpCgYO3Fubx4hndImE1WVZw+2VMOhW+oBKZPqZrIiatCpdf5o7pO+vcCa3/CxUfb73SjUwelc3Ts3Iiv+eZW8qY1Cel3vsO8PnKQgocsWGnOR4vZ5pMDRqvLTnQuy363XaWycxxBiMnFxewLxg/KhMA/vF5GV6Yx7Ks9jWGugzhDmQHXGg08Y07dDypHDI7wIPCFy4nX7qcjNLpWe7zRkJuAL943LwJPJaYxGO2cgBOKS5kS3Z79oQ7XoluZgdfQFFY7PPyYLmV3cH4x+zHkhr2Pp1stjDD4wZCHfRag09doWO2RZLooQkdn3trdTyckMzdttD5+w8cNq6z1C2MldQEr9noC7cW+7yM0RtqXWe2N/S82utwvuf/HLbIz9PSMmK6GAoHhyo5ifQP3sXx3vuUP/8CALqrrgTA88/cKstLBj0pzz+H8bRTURmNKMEgpXfdjevbuv0vnWKz4fn7Hzx//xOaoFaj7d8f/Ygj0Y86GsOY0SRcd238dYNByp96Bvu7VZtiB202gnv2Rh6XPzcVdXYWhuOPxzB2DOp27VBlZKDOSEeyWEQATRAEQRCE5ifOxzWOeO4EQaiBCJod5nz/zMb17GMtXYYQhyRJqLevJ0Gnx96+HYH9eXVaz7hlHQOQCPbPRrN5MZlde7IyT6rTBeXCweEtLKXHwF6sLbcjB2o/wSoIgiAIB/Q5cwLdJ47m1e4V1yT2POkYAE579wnmP/su2/+YB0D3E8bQ5/TjUGQZSZLY9ttcfrrivgb/TWDLyWPdF7+w7otfAMga0pc+Z05ApVFj3bmPsp05lO3MwZZbUOdtOAtLWPXBNFZ9EHvBljE1mYwBPcka3Kfi35C+aI21n1wVBEEQBEEQhKakKMpkYHJTjSdJUryQGUBdUwwjKj22NryaqhRFsca5EGwEtQeURF2x22yrdQmCEG3nj206ZAbQPi32u5RzRmXz4W1DcPuC/LOuJDL9h4V5MUEzgGMGpHHMgFDnoe8XxZ6j+nVZAWqVBMR+B7R+j505a4r5aFYO4welce0Jnbnm1TWN2od4ITOAYlsoanPgPpo3n9KFJVvKMOrUTFsQqleLivvoWeP4elTo0XEFHViClQKNH2sgFI0pjgrJPX5iV47qYkGrUqFRVxxjv7ysL2d/tJH1UYG+BbsrOqstuHVwPfa2bg4880Pa16/DUKJBw9p7hqEoCk/8tZcnZuYAsHKfg1FdE9mQ7+SEd9eTb68IEWVatPTPMvHESV1w+UNP9vdri+scNNtT5on8bPMGaJeo56vL+nJhuOPb24vymLfTxh+by3jy5C6c2LduYRZfQObJv/ZWmX5reSnt1SpG1CGk0Ra5ZJknbFZ+CQd3Kn/aJ6lULMxsx+9uN397PQzSarnUZGZTwM8L9nLmhDuLuYEJRfnMy2xXY7ArqCi87LAx3+tha6VzmgM1WtYH4gfOFGChzxt3HsA15gTW+f18Hw6uXVtawlp/6H2XEwxil+VWE0o6lP3tcfOqw85Kv6/G5XppGn5Z0aLw60ANdGrEOE1pXTgomV7pNXaMviJ89YTdhllScbHZUut4S6OevwGahnVsU0W9D1912LnDkoi6hvdmQFFYHd6PxFquqp0ZPl4A3G5JECGzFpL00IMoPh/lL/5fZJrxhNC5vuSH/4v93fdwTf8Z/H5UKcmkPPcswby8UMhMlim96546h8ziCgbxr1uHf906HP/7CFQqdEccgeH48aHZOfsI7NtHICeHYO5+qMd1LMH8ApxffoXzy69ipksGA5puXdH27o2mT2+0fXqj7dsXbbduDd8PQRAEQRAEQRAE4aBpHd/kCC0imLMHx4N3tnQZQi0knxdD78446hg0A5BQ0BSGltft3k7msCMoXLGpuUoUGsC2fhtDxwxj5YKmvFGxIAiCcKgb/9itbJ3xD7ac0Od8z5PHkTmwN7v/WULQH+DS3z8g6PNRsH4bS1/7jN9vfYrbds7C53Tx4+X3NmnAuWDNZgrWbG6y8aK5S63snbecvfMqbsKf1qcbV//7BebMtGbZpiAIgiAIgiAcJMOqmf5tHdev3AmrtBG1VMcKJEc9rq7maKKuCm25LkEQwpSC5bDx45Yuo9HOGZXNI19sYV9xKOzzw6J8fliUH7OMTqPi1esH1jjOvef04O3f9sRMC8pVA2Azlhfi9AT5Z30JX8zNZfygNOZtrHqIy07WkW+tOdhQG3+4YZPLG/q+K8Wi4+eHRwIw7YxfAXASv6tTlbGQ+ZL9BFBCLZ/i2G/zYtQmVZnePc3AwluH8NLcXB6PE3y69uttTLuyL/2z6xcKq8mBZ77AHj/kU5M/t5Rx4aebsXsrnpueaQY+XV7A1V9vq7J8ocNPoaOccW+upVOSjpxyHxN6Jdd5e6f0S+XnDaHXwLQ1JaSbt/PGOT0xf6PC6ZOZvr6U6etD80/5YANqCfpkGpk3ZTCJBg0qVfwAxf+WFrC7zEt2gjYmGAdwfmkxJ+oNXGE2M0Zffce3tmSjz8fJJYVUftepqgmYnGw0crKxYt8HaHV8nJrBXr+f262lrAj4KZBleufnconBxH2JSaSoQ13+SuUgfgUyVSput5byc1RIJVp1IbOaSMBMt4thOj1PJSbRQ6Nhqt3G/EqhtDOKC5mTkSU64TSDb11O7i4vq3Z+T7WGF5NT8CmhzlpGCSbXsbNXPHPD4cZslbrBYzS1A93zyuTYjpftNBr+Ss/k9OJCvMB9NitmlcQZxpqP31+7nJGfjzM0POT6enIqt1pDx8Nji/KZn9mu2mV3RJ3reTQxucZxry2rCJbf2YjfpdBwmm5dMV98EeVPPwvhjpPG005F26sX3tWrCe7eQ+qrL5P6wvMobjeO776n9O57MZ12KgCu73/A9W0T3/xAlvGtWIFvxYqmHTeK4vHg37QZ/6bYc4mWq64k5Zmnmm27giAIgiAIgiAIQtMQt4E6TCluN/b/3Ixit9e+sNDi1Er9v6iPZkkyNVElQlOyLljJsFFD0ei0LV2KIAiC0AYktM8krW935jz4MgAdRx3B+d++grvUyveX3MXnJ1zD34+8ihwI8setT7Lmkx/pMHIwyV07sv6rGbhLrS27A41UsmUX1t25LV2GIAiCIAiCIDRWvO5o3ymKYq3j+pXDQjsbV05clcc8sg7riLoqtOW6BEEAFPteWDmVyt262qJEk5a9/5vIh7cNwahT0SUzNnTz2Z1D8fxwClkpNXc36ZJZ9/NM2/dXnHt8/889jOxVNZzV0JDZgczJGSMzI9M8PhmPL8CdH2yg09WzGHPvAkz60CnwIAqPsbXWcQMooZBZDS7/cisfLS2IO8+sV/PICZ3xPj+G3EdG8tv1AzjQ9GxzkZtBL65Cffd81HfPp8zlZ9leO7f/uIMdxfEDPLUxakP7t6PEwy/rS2pZOtbSPfZIyCzZqGbulEGMfXNt3JBZdoKW0wekRh7n2UO/t5GdEuq8vR+v7h/zOMsSOid2yREZcZcPKrCxwE3aI0vQ3ruAB2bsqrLMihw7U37YAVAlZAYgA797PVxcWsKvbleV+W3NRp+Pk+KEzABM9QxiddZqmZaeSS91RejnS4+LIYV59MrbR4+8fQwtyGNEYR5d8nOrDZlFy1KpmJOeRV3OdirAtdZSjijMo19BHut98Y8FRkkSIbNmEi9k9lJSRSfBL9LSGabTc7Rezx0JiY0KmQFsCQcSu7WSbmYA+vBrq7+2avexvlodizKzsYSXudVaxqoauvMBlEcFr09uRNDsTGPFZ+3eYBCfUv3nUnbUe3hNDR3p5KgxRuv04n3VQgyTJhLYsQPHRx9FHqe9/ipyeTklk2+m5OZbKLnhRgDs731A+SOPodjtmM49B0VRsL/7XkuW3+TcM2e1dAmCIAiCIAiCIAhCHbSeb3OEg8rz1acEt4gOV22FKncHkl6P4q35S8zqpBTuIn1Ib5wFpXgKS1Eq3Z1LaDnWRasZ0K8Hu4rLsBU1x42LBUEQhEPF8MkXMv+ZdyjauJ0OIwdzyYx30VnMfH/xnTgLShh6zbm0O3IgBeu2MOjSM0jp0ZmBF5+GJEms+t/3LV1+o+kTLaT3697SZQiCIAiCIAhCg0mSlEzVTlYA99Vx/Xh/EFsbUVJ1Kn9JlSxJUnJ1YThR16FRlyAIUda+BYGGBYBaq6snduLqiZ1QFIUZywtZts3KycMyObpvSu0r15FRJ+H2Kewrrbjg/c0Zu3F6m+6c1Jh+KXx0+1DGP7AwMk1WFPrdNJc9RaHfWW6Jp8p6cynmWNKrHVeDhBqJYC1hs+u+3UayUc3Zg+KPpVFLZCfqyE7UUfLk0Rz16hq2FMW+ltIfWRL5+e2FeYzqmshXl/WhfVLNYb9os28cyOjX1wJw1sebKHniaJJNdTvtP6h9qDOPRiWx+b7hJBo07IzznI3rnsjfNw8G4NpvtvLxskIC4V/lfTN2c9nwTLITq4Y0KttU4EIiFDAamG3i4RO6APDO+b34aX0pRc5QCGVCzyTmbC+v8huY+ncuHZL03DK2PR8szue+Gbuwuqt2qju+ZxLPntqVZ2blMH1DxUfgzdZSNvj93JdYNfDY2tlkmYEF++POG6nVkalWM8Vc99DfARpJ4s/0LC4uKWZJoOL9WtNZ6PMNJo7W6dgS8LPO66UQBaMCBYpCtlrNjkCA840mvgwH+1SEAn+m8M+Oasb9zeshg1AnqUFaHTuCAS4wmjitlg5SQsN84qz4TYzT6bk9IZFBWh0GSWKQVkeWWkVKE3cec4avS1hRTajwYMsJBHCEw1e9qwm/pas1zEzPYlRRPgpwf7mVPzOyqh0zW11xf2+D1Lh7fUd3NfvD4+YMY/ygd36w4jg4KE5g7oAtUZ0HH2qDx8FDgkaD+eKLKbnldhSPF+Npp5L2xmug1VJ6+38I5uRgPP00DMcei3/bdrTDh2E6/zzU7dqhH3YEvhUr8W88tK7t0o8Q90ARBEEQBEEQBEFoC0TQ7DCl7jegpUsQ6kFyObAcPQL73MUNWl+bv58eyn5kkwn/yC5s3lmOp1CEmloL+6YddMxKx9q3O/s3N8fNiwVBEIS2zpyVjiU7g9+mPMGAC0/hzP89g9ZkxJ5XyPqvZ3DMQzcy5Mqz+fnah0jsmMXGaX8iBwLs+HM+t++aTe6SNS29C42i0mi49Pf30SdYWroUQRAEQRAEQWiMB+JMu09RlLp+IVS5CxZUDRM1BWucaUcC1d12XNRVVVusSxCEA5J7QemGlq6iWUiSxGkjsjhtRPUXzDeU2xe6cP/Px0YyfWkBFqOG35YVsH5vdRGT+pu/sYxek/+OmXbjSV147vtQdyuzQY3TUzWE9DelrMXOrXSLO64WFVfQgW24yMfDfjy4CIUjjieNBJOB2a58HAQ575PNpJk07P7vCEy66gMZCQYNG+8bjtsfZOaWMs7+eHOVZYIKzN9lo9OTy7hnfAeeOy1+fZUd1SW2w1DaI4vZev9weqQbq1mjQqoxdHlAQFbIfmwpagnkOPm6by7vG/n5rXN7sqvEw9ydtsi0rk8vY/+jI0g11Rw2+3BJfiQ89nXUmABr7jqCl+bu46KhGQzrlIA3IFPmCjBg6gqsUb/H23/aye0/Vf1zSQK+u6of43skkRzerx/CHdTUd8+PLPem085nLgevJadyvKH256i1iBcy29uuY5OMrVGpmJaRiVOWWe7z8j+7nb8D8YNAGYAPhR88bspkGbui4FBkrIqCAhT5Za63xnbWOxAvrdxPziRJuCp1aSoCigIB1gYCACz2+RinN2IId2ySFYVdwQBd1Bryg0FW+H2cYDBgbGSg53D0jjPUcfJYvZ5PU9Jjulv11dalJ139zPV6OBBjdaPwvsPO9Zb6hyObiizLXFRSFHl8UQ2Bxg4aDf00WjYF/OQFAzWO+1VU58REVdXXpaIoBAmFPGviVxRetVccZ9up43/GKIrCWSWFkceV31PRouv5y+OuMZQmNA/zFZdhe/kV/Bs2kPTAfSRMuRlJpSKwdy/un3/BfOXlJN35H6yPPo79zbfAoCewKfQ3g6ZrF4L5+S28B01LN3IEKVOfa+kyBEEQBEEQBEEQhDoQ374dprRHj0EzbERLlyHUg2bzUhLHH4W2S+cGrS9JoHa7MGzfxMBkHyn9RUeQ1sRTUIx5dy5HHHMkXYf0rX0FQRAE4bAy4Zn/sPCFDznp1Qc596v/Q2sKXRBRvCl0EU1ChyzeG3Y2OQtXEfT6kcMn5QdechoFa7e0+W6mAy48mU6j412LKQiCIAiCIAhtQ7iL1b2VJs9SFGVqPYZJbcKS6qumLxNFXVW1xboEQTig53mgEd10GiLBoGbSsEzeuHEQJwxNx+Vr3u+kJAkGdEmI/Gz/9mR2f3g8tq9P4oYTY8+nleDnMbaylLK4Y3XBxETSuYyO3EtP/ksv7qEH40ijr8uAg4rgU4krQPJ/FzFtdVHcsaIZtWrOGJhO8MWxfHVZHwa3M3Fin2TuGNc+ZrkX/sll0Asr+GhpAQ//vps35+/nlPfXs89atdsYgPu50aSbK+4pe8nnW2qtBWBE59gbOQXj5BPGdEskM6EijKDXqJhz82ACL4xhVPj59gcV+j2/stbtZVoqxrG6/THzshJ1TD29O8M6JUS2k52oo+SpUQRfHMvV1QQiJWBYRwuBF8dy1sC0SMgsWnZCKDRzxsA0AGyKwlVlJVxbWkywhlBGa/CyvZwuefuqTN+Y1T7O0o1jVql4zm6rNmQGoSDYdI+bBT4vGwN+cuQgZeGQmRpIjwqydFeryVCp4t7tuI9Gw+bsDvyVlskFRhMDagiKPWu34lEU3nLYGFaYx3FFBXTPz2V0UT63Wkvpkx+/05sQ35cuB/3yc8kNd8G61ZIYEzJrKm5FxhN+f831erimtDhm/lP2cmwteK7irNIicuTQczBSq2OArubQ1SPhDmBWRWGuJ36n061+f9zpB+wM+BlWmEf3/FzGFVYfGJrlcdMjP5ft4VDbeUYTI3TxO136AGfUcey8kkLutJayI1C1lqSo91m8473QvNTZWehHjCCwdSuZP35P4q23IIWPmf7Noc9tXb9+5B8/CddP09GPGR0JmamzszAccwy+Vatbqvxmkfzow6gs4qaSgiAIgiAIgiAIbYHoaHaYkiQJ0x33YLvigpYuRagjSZLQbF6OxWDCM3wI7hUN70yiKS2ml87O/rFD2Te/bXc4OZQEPV7K5y1HBQw7eigrF69u6ZIEQRCEVuDImy9h6FXnMPTqc6uc/C3evJOsIX1Z+MKH+Bwuhlx5Nms/m44+KYEx917H2PtvYMdf86sZue0YetU5LV2CIAiCIAiCIDTWu5UerwTOr+cYPeJMszaomprF666VXMPyoq6qkmtYvrXWJQhCmKRPQul9IWz8X0uX0mo8/PkWUhO0lNprvqDe7gky7v4FjOydzP/9tKvZ61IUuPrV1UComxlA5wwTAO9MGYxGLfHdgjwKyytCNL9RxJEkoarlfqwaJDSExjSgwowaZ1TYLCjDRZ9vYWz3RNolxg8DVHbB0AwuGJoRedwjzcCtP1Z06tpY4Oa6b7fFrNP1qeV8fXlfzhuSDoDNE6DPcysodPhJMqjRqcEXhOX7HOSUuXl85j5uGdOOoR2qXsSdb/Px9w5rlelqqSKAcGyPJObcNChu/ZIkMf/WIWjuno8CeAO1B0ZuGZvNA7/tBuCsjzax8NYhdeq8BjC8k4WPlhVUme6bOgaVquaQTH74tXpK3xQuGJLOvb/sYr/Nx0yvh5leDye10s5mPfL2UflddonRxHPJTZ9Tl2WZCcWF7KilW5NFkjBKEgmSRJJKTapKRbpKRVeNhitNFjSSxPsOOy84bOwMVu0oeMCWQIDOcQJ08XzvdjPTsx9bKw8FtgVBReH+cmvkcRe1mpHVBJgaKicQ4CWHjRluFykqNR+mpjGlrAQ/MESj5Vi9gdecdhSgVJbjdv2qbKXPy2Kfl8nmBNRNEIpzyTKrw6Gwo3V6vk3LqGUNGKM3kKZSUSLLPGO3cWyc40b0lF6aqpdfPW4rpyQcrtsdDPC3x81xBiMlwSC/edzsCwZ5O9xp7oBJegP/V8N7Xi9JvJacymt2G9uDAQpkme/cLn5xu/goNZ2xekNk2eKoYN/ZRlOt+yw0HXX79qS9+za6YUdgOuP0Kuf3/Fu3oenZE8cnnyKXlKA7+mjcs2aBJGE8YRLJTz6OpkN7ZGt5C+1B09P2749u6NCWLkMQBEEQBEEQBEGoIxE0O4xphgxDe/wJ+Of81dKlCPUgeVwYSnbh0etRvN4Gj6PyeemwaQma8aPZ/U/tdxwUDi7r4tWkdcqmJKf6O5sJgiAIh77jnrqDcQ/dhKukjDn/fYW8FRtw5Bfjc7joePQQzvjgKbqOP4otv8whoV0mhRu2cfzT/2HQJaejNemRVCq6jj8KXYIZn93Z0rvTYO2GD2jpEgRBEARBEOpFkkCSxEWRDdUMN9dvUZIkvQtMjJo0S1GUSQ0YKrlpKmqQeOGoA5IPVhFxiLrqp6a6BEGI1vVU2PMnOHNbupKDLhhUUKsrPox/XJTH05XCT9UZ2NnMln1OVu2o/aJorVrC38D2KoO7JLBxn4NAUCEQzrU43EF0Z81g5hNHcezgUCjrjRsH8caNg1iypYxR9yyIrD+DQk4nu87bk5D4D92ZSwnzKuV4H/ljL+9f0KtB+3HzmPac2CeFE99bz67S+Of8FOCizzYz0zQQi17Nzd9vp9ARCkuUe2JDPV2fXgHAR0sLmHvzIMZ2T4rMmzpnHw/+tpvKz3iSQR0zzvvn1f5RcWAMf/WZogiTTsN5g9P4bm0Jxc4Aw15exY4HjiTdUnMnIYCbRrcj1aghK0HL39vLKXD4uW1su1pDZgDtE3Xst/m48bvtnD4gld+vH8CQl1YB8Kvb1SqDZu87bFVCZkCzhMxsssyJRQXkhrs7ScDHKWk8bLOyNyos9llKWky4JqAouBQFGXjZbqN/QfN1FjsQMjvXaOIYnZ7dwQCvOEKBnBHa2l8/ApTKQU4vLow8TpIk3ktJa/LtPGsv59dwx698Ocip4W2qgc/TMljq80L49IQp/D97dlnmfaedn91uVEBHjZq9gSA7KwUfn7PbuMRk5rmklAbXtyPg5+SiitDqE4lJNSwd6zqzheftNjYF/OQGAnSoFCb71VvR6exsQ9UgV1Gl8OWVZSVcZ7bwj9fD9kDVkOcHKWmcUIfj01lGE6cajPzhcbMjEGCO181qv5+7rWX8m5mNLvw8L/NVfLZ0jhOEE5qHpmdPMn/8DnVaGp6Fi7C//Q7B3FxkqxXZ5cZ06ikk/ucOjCdMxPP3P6DVgVpFYPMWzNdchUqvR92hAwCm007Bt2xZy+5QE9ENHdIs3RQFQRAEQTi8ifNxjSP+PBMEoSbim4TDmOez/6EdNJjAquUo1rLQbf+ENkHyOEGjh4bnzELjSJCRs4ndTVKV0NTadekggmaCIAiHsWHXX8AxD97Iph9nMuOmx3AWFMfM3/7HPCS1moz+Pcno3xMAZ1EJ8597nzf6nEhqry7ctPYXrLv30e/sSaz59KcW2IumodZpm3zMXX8vZt5Tb5PQPpOkLu3pMHIwvU8/XpzkEgRBEARBEJpUOGR2Q9Sk+xRFmdrA4Zr+KuOm2baoq37bbq11CYIQbdX/QbfTYdMnEPRAlXjOocPrD3LNq2uYviSfRJOG4nI/fTtZ+N9tg7nhzbWs3mmvfZCwI3ul8O/6Ui4+tj2PXdyb1Euqv9llfUNmHVJ15JaGOpOt3RO/poCscNx/F3Pfud159sr+kelH9UnBrFfj9IYu+M/GEHf9mmiQOJ40ivCxGUdk+lerinjv/J4N/k6pR7qR7Q+OAGBXiYcMs4a9Vi8/rS8lt9zLu4vzURSY+O76mPU6J+vIsfqqfWUe+9Y6PrigF1ePzOKTZQWRrmKVVQ6rPfTHHr6+vF+19To8FcGIBH3tXYkAvrmiHxd/tplv1xTj8Mr0n7qS/Y+MRKMJre/xySzYU86EXlWDJBceEeo6NL5ncp22dcBVI7J4ZnYOAL9sKCUoK5FQ3c8eNy8rCtqD/D2gR5ZRAbpK3ZxkWea28jJ+9lQEVkZqdUw2JzBB37SdpwKyzH02K9+7XRzoc3Si3sD7qaFwZqrDFgmaXWQ0xYTM3nHYecbe+M46BsAHyIABiQcSE7nanEBeMIBRUpGsUrEvEGC530c3tYYhulCoTFaUSNBsgqH+7+HDUbkskxP+fQ7QaPk9I6tZtrM+3ClsstnCKr+PpT4fKZKKGywWklQqJkR12DqyMI90lSqm0xbA9ho6633pcvJYYjKGBrxnZ7hd3GItjfSjHKTR0rceQcWbTBZettvwAY/arHwQfq8c8D9nxefBFEtCzDyPorA+EHpu9FRc2vFB1DrRtmS3xyjV7bgKoJUkTg93KZtssTC2MJ/9cpB5Xg8Twu9dS9R4bkVBL85/NDt1hw5kfPUFIFFyx39wfftdlWVcP00n+cknUHXsgLZ3bwBktxvnV99QfNGlBPPyyPxlOppu3dCPGgU6Hfh8VcZpa6RmPHa7fv4Fx2efo87ORt2+Hdo+fUKd5ETAUhAEQRAEQRAEocHE/1EdpuTSEtzvvg5aHboTTkYuKsI/7x/wt/0vJw4HcvcBKAvXNslY6vIyzJ264hSBplZH3ItPEATh8NV90hhOeeNhfr/tKZa98Xn8hRSFrb/8zbDrzgdg74IVTDv/dhx5RQAYkhLY/se/fHfRnUx45j/oEi3kLl7N/uXr44/XSiV16YDOXPVOoHVRsG4LuUvXMuza0HPktTlY/s5XHHHNuWybMZddcxbHLN/1uKO48Mc3MSQlxBtOEARBEARBEOpEkqTuwHnAA1R0r5oFTFYUZWcjhk6udYmmYa3ntmua15Ss9dx2TfOakrWe265pXlOytuC2BaFNUwqWQ94CsO2ETseDuxiKVoBc/UXwbdX+Eg8dr54Veezyhs4Trt9jZ9Q9CwjK1a0Z38ez97Hvowm0Twtd4O6cdjLm839vdJ0Wg5pLju3ICz/W7WP0+e938vz3O5F/Pi0y7UDIDCCxgafI12GPCZkBuP0yi/bYGd01sUFjRuuWFroAu3+2hv7ZZgAm9k7m/E83V7lf6N3jO7Jmv5MPlxbETL/9mHa8Oi8PgOu+3ca3q4uYudVa7TYl4LNLe/P4n3vZVuxh2poSvr68+hrP+GhT5Odbxrav8759dXlffMGN/LS+lBJXgOPeWUeHJB02T5BZ26wEZciyaJl3y2B6pDe+29ijJ3TmzQX7I0G63zaVxcxf7vMySn9wwkq98vbV696hKuC79Mw6LbvG52OJz8vpRiPt1NW/rvMCAV5y2PjR7YrpmnaPJZFbEypeu7eaE3nUbiVRUvG128XXbled6hitCwXiFvq89NFomJlR946BB0TX31GjoWOlcIBKkjjHaGK628VUu42JeiO9NBpx47AadNNU3MBtqK55zjznBQPsDgZQAbdaEjFJEjsCAXpqNKjDvxuVJDFap2dhuLtWdMhslE7PSQYjEtBdo2FvIIBakrDJMsN0Os4tCZ3vmFSUz8yM7HqHze4sL4uEzE41GHm7nh3dVCoVJxuMTPe4meP14JPlmLBoQdS+VH4t5kd1M6vuGPByUgr9tVr6arSNei0bJRXdNBqKfD72hbe7LxDgJmsJEAq6WcR7pdmpkpPI+PpLgvv2UXzDjchFRXGXU9xuPH//jenUUwDwb9tOyU03499Y8RkrGY0UXXIp2m7dSLz9VoL7cnHPmYNcUBh3zLZA27dPg9dVvF4cX3yF4dhxaHt0B8C/dSvuWXNIuPEGXNN/xrtgYcw6ttfeIO2dN9H17duougVBEARBEARBEA5XImh2mHJ/8DaKPXTHL+83X7RwNUJ9uYri3+WqoVK7thNBs1bI4fPXvpAgCIJwyEnokMU5X7zI4lc/rT5kFuYuC91BdtnbX/LHbU8jB0IXPEkqFZ3GDGPDtD/wltv5bcoTWNpl0OfMCRSs20rQ23ZuLpA5sFedllNkGSl8gldRFJa89imz7n2BoM9Pl2OOJK13N1Z99D2z7nsRZ1EplnYZVcbY/fcS5j39NpOm3hs7tqKICxYEQRAEQRCEGJIkJRPqVJZGKLzTnVC3qO5UhHl2Au8B7zYyYHZAvG5UJU0wbkO3XdM8UVf95rWGugRBABQlCBs+CD1w5oFzRssWFPb899tZuKmM7+4fjlZT924ntbnu9TXVzqtvyOyAjlfPBqBnOxNLXhrLvef2YOr3OwBwTDuZo++ah9UZYF+Jhycv683Dn2+tdUyHJ1jnkFk01Rm/xoTNDuiDpd5jAcwi/gXj09YUN0nQLJ6zB6Wz/I6h/LiuhLHdErHoVRQ7Apw+MBSWeOOcHuwp89ApyYBBF3ptnNg3lfM+3oTLL/NXOGSmUUnseuhIPAGZE97dQI7VS+dkPX9NHki3NAMv/p0b2aY/KFPo8GPSqkkxxV5OMH9nRUer/07qXK99+f6q/pzy/nr+3GJl4e6qXekKHH56P7eCHmkGLDoVt4xtzzVH1T+wBKBRS3x0UW/O+XhT3PkjdE3XKcwly/Qt2A+EAlcfh4MsRxXmUVY5IViLoVotP6fX3nVqg9/Haw47v4e7oD1lL+ehhCQ+cNopkGXeS0njpKhuZGeUFMYEYjJVKr5MTad3VGcnRVG41nrgT5LYTnfxHKHV8U1aBgZJYrHXywWloffHCYbGBwWrc7HRzA/h8NvE4gLuT0jkZkvzvPcOFR3UanKDQdY30w2HF3hDEapBWi2J4e/n+2i1VZb7Oi2Dznn7Yqb9mJbB8MrvxUoPLzCa+NbtYk8wyHKfl7HVBERzAwGespezxOfFqygEAK+iRDr33W1J5LaEhr1WHk1MYrrHTQB4zWHn7sSkOq2Xqar58/oqk4VzTeYG1RTPGJ2BpT4frzhsjNTpWO7zRfb/joRENOIcR/NSqUh7521QSRRdeTWKzVbj4nJZKADt/P4Hyu69H8Vd0dVS07ULituNf+06/GvXAaAbPhzDqFG4fprefPvQzLT9+9e+ELHn+wB8a9dRctsdBLZuxXjiCaR/9CGKLFP230fwzl+AOjsLdXbVvxcCW7dSdve9ZP78U8x44pyfIAiCIAiCIAhC3Yig2WFI8Xrx/jStpcsQGiFoa9qgWZImQE6Tjig0lrl7R9YtbZqudYIgCELbodJoOP/bV7DnFjDnwZdrXFZrNnHENedSumMvv015AhQFSa1mxE0X47U7GHnLZfx557OR5R15Rax45+vm3oUm1274gBrny8Egv9/6JHvnr+Dqf79AazLw553PsezN0M0UtCYj7tJy/n36bf559HUAlr/1FVfN/YzBl53B2s9/jhlv0UsfYc8tYMx916NPtPDvU2+T2rMLY++/AU+5neVvf8XY+29onp0VBEEQBEEQqtOjARcBFSmK0py3+p4IPF/LMtbwf4cRCp0JgiAIrV3hCnDm1r7cQeT0BHjgk80A6M/5LW5wqqGumdSJP1bGD0811vY8F2mX/BV5/OsjIzDp1ax9YzwAgaDM2t32uEGzKad24eXrBuD2ynz5by7Lt1tZtKmMzbkO5HoG4CqHzSyo67TebxSyNPxRnoAGO9V3tHtt3n7OHJjK+B7J9SuujoZ2sDC0Q/xwnE6joleGKWbaiX1SyHt0JMe+tY7V+51IwMzJA2mfFEpwbH/wyCrj3D6uPVd/vQ0Aw30VHUF6phnYfP/wyAXZwfrlpqr49dr+nPj+BubvtOELKqgkSDKoybBo2VniISDDjhIPANdP245aJXHliNqDV/GcOTCN4Itj2Vbkpu/zK2LmNSZwMd3t5HZrGfFeigt9XnqHQ2f1IQHrstpHgjrV+dbl5KHysrjdkZ62V4QAbygr4VKTmccSkykPBmNCZl+mplcJ6yiKQpf82o99n6emMy5O0OdFR8W2/9OMwa+ROh1Xmyx85AqdK1/k83Jzs22t7fvU6SA33N3KLjfyzVuNA13KRutq7xC4O7sDxxcVcLXZwpXmugV+n0lK4dtwuPDhcit/Z8YPn55cXIC1mmBnpkrV4JAZQLpawyCNlnUBP1+6nXGDZsY4x5Q7rKUxjx9MSEIFTPe4uNuSyHFNHMq8zmzhL4+bDQE/F5QU8XBicmTe1y4n5xhNNXY+FBon+eGH0I8ZTcGJp9QaMlNlZmI65xwC+/ZResedEH6fms4/HwJ+jKeeAoHYvzt8K1bgW7Ei3nBtg1aLrn+/GhdRZJnyp5/FNf1nMr/7Bk3Xrrim/0zpnXdHgniqzEy8S5Zge+U1vPMXAGB78SXS3n+PYGEh7hm/xYzpW7mKwjPOIuH66zCcMAn3L79ie/sdsqb/iCoxEc+iRSjlNownndg8+y0IgiAIgiAIgtCGiW8RDkPB3Tsj3cyEtknfrROugqa7Tsa4ZxsqrQbZX/1JMuHg8hVb0VtMeB2uli5FEARBOIiGXHkWnUYPY8aUxyPdyaoz4uaLMaWlsOrD7yB8AnXElEtY/dEP+OxORky5FJ/deTDKbladxwyrdl7Q7+enK+5j/dehu4v/dNX92Pblk7diQ2QZv8vNh6MujFnP73Lz/cV3ccXsj8lbuZGijdsj8xRZZt2Xv7Luy1+R1GqUYJAeJ45l7P03MO+Zdyjf3bouNhMEQRAEQThMNOSW3Y8DjzVxHRGKonxH6JrgKiRJ6k6os9kkQl3P7g1fnP0d8KyiKCubqy5BEAShkUo3t3QFVahVsR83j3yxhScu7dPocT2+IOqD2M3hnd/3cNygdMzn/17jchOHpPPaDQORJIkEk4rJJ3VhMl0i81/9eSf/+WBjvbZ93jPLIj87aunUtBc3/6t0e8aaQmYHTHh7PevvGUa/LFOtyx4MFoOGFXceQb7Nh0qCzARdjcufMSANs24HTl9sfGp7iYejX1vDr9cOIMNStUtRfalUKmZOHhR33j6rh5u/38HWIjfbikNhs2u+2cY3q4v434W9yU6seR+q0yvDyB/XD+Ck9yu+MywMBMjU1O9Sib89bu4vt5In197tK1qaSsWqrPYx0+Rw8OtBm5WRej3nGKvvaqQoCiv9Ph61WVnr98fMa69SI0lEwkTRvnA5+dblxF9perwuSxOKC2Iez83Iopum7r/v/VHbf8thZ4oloVmOL5Ik8XhSMhsCPpb6fKSq6hYcPRxZZZmpUeHDZ5KSm3wbiqLwXTgENkZfe5dAlSTxTzVBsepEvwp3BAM8XF7GcJ2es4yxx9oUlQpr+HV4jcmMWVKRoJJIkFScbmz8cbmbRsO6gB9vpTBbhkpFkSzjVhQuKCnk27RMIPT8/+H1RJb7JS2TIbrQMewGS0Kj64knQaXi67QMriotZkX4mDHZbOFdp4M9wSCP2cp5N9xxUWha2gEDsNxwPd558/FvrP1vlMTbbkVlMuL45NdIyEw/7hj8W7fgX7MWVWoqhvHHNnfZB5V+2BFIhuoDqYrHQ8kdd+L++RcAim+agqZLl8jjA5yffY7zs89jpgV276HsnntJ/+wT/Bs3Eti1O2a+b+UqSm6aAlothD9HvcuWYzh2HGX3PYjlmqsav4OCIAiCIAiCIAiHoJpviSUckuTCgtoXElo1raZ+JzBqo7ZZ6T+25rsHCQeX3+ag77CaO7gIgiAIh552w/qjyDKbf5hZ43KSSsXRd1wJwNZf/wEgrU83zOmp+OxOepw4luyh/fC28aCZpFLRcdTQuPP8LjffnDUlEjID2DJ9dkzIrCal2/fw0TGXUrJ1d7XLKOETfPsWrcbvcrPy/WmYs9LxOZwUrt9K7tK1WHfvq/P+CIIgCIIgCIcHRVF2KooyS1GU+xRFSQEmh2edB6yQJGmaJEnJDRi6Ies0REk9t13TvKYk6qqf+tYlCAKAp7ilK6hixJ3zYx4/9c22Jhn35em7OPe5qp0xLjymHWcf3bAOUpWZDaEQSHqijn6dLDWGzDa9NR6DTsWsNcW8/+feape7/sQuPHVZH+45p3ud6/hhcQHpUSElOU4vKhmFn8jnExr+Xc8N05rmd9OUshN1tYbMAJKNGv65eTB9MoxoVBKD25nQqkNBoeU5Djo/uZQthbE3R7z8yy1NWmvHZAM/XzuAzfcfyfvn9yQp/Pr5c4uVjk8uZeaWsgaPPalPSszjo4ry67zuCp+X8YV5XFlWEgmZpVUKaz2fmMzedh2ZmpjMYI0WsyRxpcnM3nYdq4TMIBS4U6lUPJecWmPIrEwO0iU/l7NLiqqEzP5Mz2RxVjvmZWTzdGIyLyWlsCGrPfMyKoI80WvogCtNZnprq74etkfd9GxPdod6hcwAXk9OjXR0etFhY0jBfpRquks11v5ggPXh5+IYXe3hpsPVh047NkWho1rN7uwOjI7Tia6xCqM65ZmaKbgsSRJfp6ZHHn/icnKbtZQZ7tjj0QWmiveRAtxlSeBGSyKXmi21dgqsi9meUDelnpXeG7dFhcYW+3z0y8/lpKIC3nZUdLR6Izk1EjJrbkkqFZ+npjNap8epKLzrdETmzY0KvglNS3fEUCRJwvXjT7Uuq0pNxXLpxQC4/wh1flUlJ2G+8AL8a9ai6d4N09lnoTgcNQ3T5uhHjap2XrCsjKJLLosJlfnXrK0SMquJb/UaCk8/k8Ce6v+GJOpz1LtoMZ45fxPYvh11ZibB0jJ8mzbhXbmKwD5x3k8QBEEQBEEQBAFER7PDkufLT1q6BKGRVDnbY+620xQs65bRftRI9i9a22RjCo3jWbMZQ4IZTxsPCQiCIAh1Z8pIJWfhShz5RTUu12HkYJa8/jlj7r2OnIWrUOt1HPPgjegTLUxe+RPZR4QC5G29o1n2Ef3QJ1iqTPe73Hx+0nXsnbe8UeOX791fp+X6X3Ayqz/+AU9ZOUvf+Jzl73yNHP47LLlrB6Zs+h2NQVzUIAiCIAhCBZUU+ic0zKH23CmK8p4kSbOAFYSCPucB50mSdH64M1pr01pvcy/qqp/WWpcgtFqKqxD2z699wYPsxGEZbNhrj5kWCMpo1I27cL5Hu/gdXt6YPIi3f9vNj4sbd+PK/5zZjZen7wKg2ObjhR92Vlnm5OEZfPKfIyIhsKcv78tdH27k7o82sjnXwSvh9RdOHcPRfUNBIZNezYMX9AJCAYSp3++IGbNzuoG9xVUvpi+2+SI/z6WU40jHTZBfKWADTXMxd//M1tHNrKGGdbSw8b7hkcdFDh8Xf76Fv7eX4wsqDJwa25R1Y76r8hBN5pqjsrlieCZHv76GVblOFAVOfn8DtmeOxqRr2CUOzmdGY35wIQBBYGfAT/caAlVb/T5us5axMVBxPjZdpeKJxCROqyYcdpHZwkXmqt9nNkSZHGRIQV7ceb+kZdIvHBjTSBKXR20zQaXivoREfve42R4I4AoHvi43mSmUZd512LnabCGIwh8eDxv8vpixpQYEhobr9KzOakef/ND3rTZFYU8wSNd6do2rjaIoPFhuxaUoDNfqOLsJOlUdisplmY/CAaMHE5JQNVMILEOlopNaTX4wyEKvlyObKfg3Wm9gfkY2d5aXstQXer3eV17GdLcLs0rFo4nJXGwy8YLdhgx85HLiVxSeSU5t1HY3+nz85nGzxOflwJmW3YHY6zOuNCeQJqm5rbyUAOBUFDYG/DHHjWz1we28Z1ap+Dg1neds5XztdkaOAbICsqI02+vhcKZOT0PxenH9/ketyxqOG4/tlVexXHM1vuXLQaUi8Z67kSxm0r/4DMOx45BUKhybNjV/4QeRfszouNMDeXkUXXQpgW2ND+sHdu+p24JaLYYJx2F7+VUASm6+BXwVn4XqDh3InjsHlUl8xgiCIAhCWyDOxzWOeO4EQaiJ6Gh2iFPcbhSfN/LY88M3+OfPbcGKhIaKvuub5HVj6Ne7SceX9QZKttZwdx/hoPOX2+l7RP+WLkMQBEE4iPQJZvbMq3on6cq6HncUW6bPZt/i1SBJ9D1zAgtf+JCCdVuw5RWyZ95yAl5fm+9oNnzyRXGnz37o5UaHzOpj1+xF/DblidADRYmEzACsu3PJWbQq1GHtnFvIX7P5oNUlCIIgCIJwGDkTGFjPf2+1SKXVUBRlJzCh0uRpkiTd2xL1NIC1pQuohrWlC6iGtaULqIa1pQsQhNZCkYMo/oqQjOKzwZrXQW66G/w1lssbRHXGr/zfT1UDWoVWX5w16ufInklxp2dc9hePfLm1UWOnWDSRkFk88s+nIf98GjMePYr0RB05xaHfxW2ndWNMvxQc7mAkZAYw+t4FqM74le8WxN406Lkr+7Hu9XFMGppOhzQDl43vwLb3jqfgs4mkWKoPEDkJYiPAR+TEDZlpaNhVNtePappOcK1FhkXHrBsHRR5X7gO3scDFSe+tx+0PNsv2NRoVy/9zBI+d0AkIdSm67IuGvzYNOhVnD6zIYY8vih+m3O73c0R+LhOLCyNhkURJ4tnEZFZmta82ZNaUAorC2MLYrmtrstqxI7sDe9t1rLU70hRLIr+mZ/FNakZk2ocuJ7943DxtL6dnfi598vdzu7WU95xNE7Rc5Ys9LlXu+tYUfvK4meP1oAOmJqWgFoGZuP7ndGBTFHprNJxiMDbbdlSSxHXmBPzAcr+31uUbo7NGw3dpmfybkY1JkrApCn94PXzvdjHT4yZVpeHd5DQO9G2b5nYhy1W7V9bVap+Xk0oKec1pZ0lUGLNMUTiqII+SYMVx7zSTie1Z7bmsmuDjkXG6CDY3gyTxWFIyKzLbMSs9iwcTkvgqLV2EzJqJZLbg27ARxWardVn9kcPxzP0X75KloFZjOvMM7G+9g2/5ShSPB++ChQTz8w+pjmbaQYPQjxxRZboiy5TeenuThMzqRZIoveU2vPMXhB5X+vwK5ubiXbAQJRik7PEncHz+xcGtTxAEQRAEQRAEoZUQHc0OUXJxEeWXnI2ctx80WiSLBYJBFHvtX2wIrZPcdzgqtw1p73YAdKkWqt6PsRHjJybjyxOvj9bGtWI9/UYfwaaFq1q6FEEQBOEg8DnddepCljWkL+u/noHf5WHI5Wew+qMfGHHLpfzzyGuRZY75700Efa3n4qj66HDUEM783zNk9O9ZZd7+5etY8uqnB7Ue6659Nc7fNWcx67/+jc0/zmTgRaeQPaRvzHxPuR1DUkJzligIgiAIgnCo26EoyoaWLqKxFEVZKUnSfcDzUZOflyQJRVGmtlRdgiAIhxNFDsKSR6F4HSCjaMP/vx70tKqQGYDl/N+rnZeWWH2Iqq563vB3o8eoTpkjEHf6R7cPYfHmMjIv+4syh49gVAYgO0XH/k9O4H+3D6HPjf/EXf/Dv3I4b0z7mGkDuiTy5xNHx0zLSDKQ+/FEnp22nSe/qXrxsgaJ99iDg/gBKTXQHiN7cVe/k3E8MGMPU8a244z+abh8Qb5aXcTZA9NItxz8kMHB4AsqzNxq5ZV/9/PAhE7Ntp2HT+jC24vyKbD7mb6hlEBARqNpWIjps0t6Y3lwUeRx57x9bM5qj0mlYk8gwF3WUpZGhUqMksRtlgRuMllQNUNwKh5ZUXiwvAx71E1I305OJUVV/65IQ3Q6fkzL4HOXk/3BIIt8NYeBFmZk13sbB3wUFVi73GQmoYmfr+JgkMfKrQDcbkmkl7bxx8FDkU2W+dAZ6oJ5myWx2YNFPTUaNMA/Xi//ej2M0xtqXacxumo0/J2RxY9uF8+Fr335zu1ivs+LAYnXktO4wVqCF3jf5WCyJbFB23ko/FoDMABJKhUF4eBanhxkVGE+y7LakRR+natUKvLiBNskaNFwl1mlordKRW/xfmlWitNZ52CYumvX0DpuN6Zzz8H1zbeYL7kY+9vvQCD095M6OwvL1Vc1U7UHj2QwkPbWGxgmTkCK0+HS8dEneBcuirNmM/P5CObl17iIZ+6/+DZswPHu+1iuvabKfEWWURwOVIkNO8YIgiAIgiAIgiC0BSJodghSFAXHE/8NhcwAAn4Ua1nLFiU0mt8TxLVqJ7oePZAdToKL1zTp+JqifNqPOorcBU07rtA4AaebwMJV9B01lM2LVrd0OYIgCEIzs+7ahyGl5pMSkkqF7A+Q0j108cbqj34AIK1Pt5jl7PsLMaYmYc+Nf2fe1mz0PdfGDZkBLH75Y4i6yKK1KNoQumjJXRY6uS0HAuyeu4y1n03H73Jz/revtmR5giAIgiAIQiuhKMpUSZImA92jJj8vSdJORVG+q2V1a5xpaXGmHWzWONNEXdWzxpnWGuoShMPDtm+gOOo8iN/ecrU0gl5b/8BJNKUJv1vRqCVG9EriquM7MfmtdVXm530yiawUPQDJF/2BzRU/hHagS1uv9hZ2vn88W3IdnDgsk/0lHobe/i/FNh+ZyXUPbBl0agZ17MIkyphLCUEJguH9XoKVA89AMhqsxNbkRal3yAxgzvZy5mwvJ8OsweWXcfpknvhrLzmPHFXvsVqT0iePJvXhxTHTdGoJXzD0LOrDoS+PX+a1ebmsy3PiDSoYNSrOHpTGGQPSUKkaF7R46qQuXD8tdDPO9k8sZd4tg+mTGb97ULHDx0nvb2BPmRdvQMaoVfHZxX04oW8KRp2ary/vw0WfbYksP6hgP0O0Opb7q3YK3JTZ7qAFzA4YU5RPblS3pD/SM+nfiI5Iw3V6hutC78F9gQAFcpCf3W5UEtxiTiBNHTqeeBWFe6yleIGbzQm1dk2rbIBWx0yvBxn4zOXkVksi2erGHauiPWKzUqbI9NdoudEibupVnY/C3cx6aTSc2ozdzA7oqtZEjqCXlRazO7tDswf6Dj9ZAAEAAElEQVSr2qk13GxJpEyWedfpiAlQ/uRx0VOtYXswwDvOhgfNtoa7GY7V6fkyLdQZsCwY5IySQvYEg3hQGFSwnx5qDTdYLKzw+ZjtrXqb4OOaOXgntA6BPXswnnRircupu3TGv349ml69AHB98y0A2n59ISqoGCwsQkqK33m2LTGecVq1z4uiKNhee/0gV1QPahX+DRsBkK3WyOTA3r24//gTx+dfkvLs0xjGjG6hAgVBEARBEARBEJqfCJodgvz/zMb/98yWLkNoQoqi4N2VA34/vs1bm2077fdvQn3sERRu3IOnqLTZtiPUn6kF73QmCIIgHBxqnZZ2wwcg++NfbAOgT7Qw8fm7Wf3R9/Q6bTwzbnwUfVICJ7x0H2s/nR6zrDO/mE6jj6BwXfP97dBcCtdvo/+58U8+aYyt78Tssje+oP3IQYx7ZAr6BDO/TH6EzT/O5P/Zu+vwOMq1j+PfWd+NbTxp6u4utLSFQikFihSKc3Ao7u7OwTnvQYodrGiRUuotpdTd3SVpPNlsNus78/6xaZLN7kbaeJ/PdRWyM8/M3Nlsks3M/J7bXvp+avRzdzdyhYIgCIIgCEIT8wbwSaVln0mStFBRFEsj1FMTTfVkoairdppqXYLQIJTiw7Dnp8Yuo04oioJ0EtcNth6qWcBOo4I/nx3KlW9tCAqI3TS2DZ/d0wdJkpAkiW8Xhe4In2TWMW99Dvd9uj1gH2f0juOsvgk8/73/3JWsgOHSWbi9Cm0TDez/dAwAreINPDyxI09+vQt1mMCP0+3DNCm4A5wEKEAsWgYpMcSh5QgOVlXI/FYOmVVnINFspxgX4cN6uSXl+zxm9XDNt7v4v0s7kRDRPDvKxBg1lLw+gkyrm+QoLV5ZYdwn21h71IZRq+KO4SkoisIFn29n8f6igG2nbsilXayef+7uQxvziZ/Xu3lYCu8tyWBHtoN8u5eeb25gxb19GdYumjcXpbP8YBEfXtaJhXuLuO/3/ZS4y2/YL3HLnPf5dv65uw8jO8Rweb9EZm7PZ+qGPAA8UBYy0wM9NTo2ev2PO2Yf41Bq6xOuu7ZesloCQmZLElNoH6ILzIlqrdHQGk1Z8Kyiz0qKme70ByznOB2M1Rt4KCqa3jUMuU2OjORdm7Xs8bUFufx1Eh3SKvrH5WSm04EEvGWORSuum4ZklWU+L+1mdn9kNOoGeJ7aaDTcExHFB6XH3eH11Pg1c7IejYrBJKnY7HGzqDTk5VAUcmX/91C+LPO308GYEwjcHY+u2ZTynyWxajULEpLpmn2sbNl+n5fHK3Q/q+y8Bgj7CY1PP2yoPyym0ZR1JatM06ULMU8+juX5F4l54jEKH34UKTKSmCcfx7VqdUDQDFlG2749aLXgaVodd2vDs31n2HWSJCEZm+73h33aL2i6dSNy8u3o+vah6M23ccxfgGfHjrIxut69GrFCQRAEQRAEQRCE+ieCZoLQHCS2wrct9AW6uqQuttJq+0pSFfAM7ky2Pl50OGsiXEcyG7sEQRAEoR6p9Tqumv4hHcacxpoPpoYco40wcfXMT5h5+7Pk7TrA6Ofvoful4zDGRbP4uf+j+FhOwHhbVh5XTv8QY5yZI0vXIftkel4+nkVPvYvX6Qp5jKYirlObgMeyz8ec+17BcuAopz18Mxu/qK7RQ8NyWqwcmL+cA/OXh1zfadzpAY8VRWHvrMV0Of8MpAaeEVkQBEEQBEFoEn4mOGhmBp4EHq9iu4YKCZlDLLNUMV7UFcxSxfimWpcgtHySGpCrHdYcqC+exdCuZla9PfKEtu/dLgqtWsJT2pGqW5qJ3Rn2oHFeGc57cQ0AvdpG8tNjg2iXaECSJEyGwMvMCTGhQ1SSJDHh5TX4Kjz1T1zWiddu6AHA+38coLA0mOX2+us5kutEO3EOahV4pk8I2J/bI3P/Z9tRqeBfZ7bm60XpfDL3cMhjH4+CFeJhIXnEo2UIMRhR4aj0WtAh4a4UHhtENC4UtlEezNuAldr6aXMeP23OY+5tvTinW2ytt28KDFoVHeLLg2I7sv2vlxHto9iT6+D673ezPdsfUtKqJHQa/+vL7VM4XOii/SvrmNQ3np+u73HCNWx9dBCn/3czqw77vx4j/rsFleQPKQLMfnVd2cehnPHhVg4/M4TWZj3LKoUt9cDNEZE8GhmNRqWibab/uqwM2GSZyAY4h1csy3xeYit7/HqMuU5DZlU56PXwXnH5a1sFLHQ5WehyMl5v4MGoaHpUER76y+ngpsL8gGV7w4QtTsS/rf4AY4Qk0aeBQkzN0eclxRQpCp0bqJsZ+DtFbvOWdwNMUdVdF7vq6CSJB6PKO5a9bLXwWWlHt+NeLS46oaBZjCRRpChs8niYYrNyR2lnNINKxeGUNG4vzC/r4FeVR4sKebO4iNVJqWhEQLLlUamIfesNIq++Cs/evWFDZvqRpxN1+23k33MfAOqUZCKuuhIiIyj+aAq+jIzgXZtjSPp1Gtb/foAv4xiajh3QduqI9T9NuAtYJZoO7YOWubduw/re+0jRUUTffSeFjz/Z8IXVgGwpwr16De7Va0Ku1w0ahKpS1znF5cK5ZCmGsWef1IQQgiAIgiAIgiAITYW4q7EF0p52OjThmV+E2pMTUhv0eJIEukP7aLN7NX3O7IUuNrr6jYR65UjPwhgT1dhlCIIgCPVAazJy1R8f0encURz4ayWLnnk/5LjhD93I7LteJG/XAVoN7o3i9bJ7+kKW//uzoJAZgC07DxSFzuNHcd38/3Hzsu8pyc5r8iGzXlecR59rLwpYtuaDqaz76Hv2zV2Kq6iYpD5dG6m62kvo0Yk2IwaSvXU3O36dB8Ca/37LDxfewU8T78ZZFDyDeElOvv/rJwiCIAiCILRIpV3LFoZY9ZgkSeYqNrXURz01VFU4ytJQRYQg6qod0dFMOKVJka0hql1jl1Fn1uyx8NPSY9UPDEGlknD9fgHOX89HnjGB/9zWu8rxeq3EqrdH0rNtFBFGbVDIDOCcfolhtz8eMkuJ1TH14f5lITOA+S+fhkkfOpjgk0F10Uye/HoXAIu25GK4bDafzD3Mx7MPM+Kx5WFDZhWNJQEjKvLxMJc8TKhJxd/R6fhnUjlkpgby8XApyUwkuCuTGonaxinu+m1/LbdouronmQD4a28Rg97bVBYy6xivp/j14VhfG4H93yN44qzybmC/bMknz3ZynVn+vKUH/VtFlD2uGCyr+PHp7aM4N0Sor90raxn83kYOFQSeI92QlMKT0WY0pYGyz8zxZet6Zh9js9uNolSRYjsJWzxu2mam06tCl6TzDEauNUXWy/EWO520zUwP+HdGbjYeIE2tZk9KGosSk7nEYEQC5rqcnJuXw5icLDa6g88tK4oSFDID+MAcVyf1znDY2e71v26M4sb9sCyyzBelQcWH6rmbWbrXywa3ixJZ5pOSYha7/K+Ll6LNJKgbLmhW2bPRZi43mgJ+mu/xevnSVrMunhX9Fl/+O+1He2AQW5IkPotLYHZCEqfr9Bio+rnOlWX+Ke24JrQckkFP/KdTykJm+ZPvDD1QqyXimmvIv30yitWKcfw45Lx87NOnY/vgo5AhMwBfdg6S0UjsSy+QPG82sa+9gnPlqvr7hOqYul1b4t56I2CZ7HCQf/e9OObOw/7zLxjOOcd/c1IzFHnTDQAUf/IpvtxcAAqfeIq8G26i4J77kG22oG0URcG9fUfQckEQBEEQBEEQhKZKdDRrgSSjEdPke7G//2ZjlyLUEY+7fi5c1ETEtvX0TYjnaOdeZK/d3mh1CJDcPo1Dm3c1dhmCIAhCHVHrdVw142My121jz59/M+eelynYF/rGmNhObfG63ORs24Nap2XY/Tfww4V34rE7wu6/JDufeQ++ztqPvgfAGGfGUWCpj0+lzsS0bcUFU14Mmulv3+wlZR/LXi+F+482dGknLL5LO/646Ul2/jqP6Dap9Lh0HNt/mg3A7hmLWPHW55z1yoOA/3NTaTSs+fA70ob0oeuEMY1ZuiAIgiAIglC/NgBjQyy/Avg0zDahQkLmuiqoGpYq1om6glmqWNdU6xKEU0OvW2HVs41dRY3IMyagumhmlWM06pO7OVenVVFk83DHR1urHLf5/84gIkS4LKAWjYqsb8aScn15ltqoC5zz9LozW3PNGa0Dlg3qbMY27byAZear5mK1B3cFOZIbfKP+v8akcf1ZbRjTJx6b08vavUWM6BZLxBVzAIhGw0jiGEwMq7GwgkLy8RCFmjHEk4mTXZQE7dcHHMJBNm76EY0JNd+RUWF9+bU7NRL30A4z5V3d5pLL6ko/dg8VONmRbef8z7YRH6Fl/YMDgo7bXPx3YkfO/Ggrbl/589AuVs/K+/qjVfu/7pIk8er57RnZIZoJX/hvrB75wWZ2PTH4hI8bZ9Kx/qEB/L41j9t+3ovDI/PtNd34dn0Oyw5aKSh93Sw/VMwr49sxZVInrvt+D8sPlnfr2pgR/PWOVKlRFIUPS4r5y+lEU+lb68L84Im+Rur0fBIbjweFuFp2cVIUhaVuF9cVhJ5s6o2Y2ne+cysKfzjsJKvVjNYbAtZl+XzcWZjPeo87zNZ+sgIGSaKjRsv/xcZzj8fD/ZYCtns97Pd5uTg/l/F6A5/GJZRt83xptzGA60wRPBMVg6mOOsCle728YLWUPX79BJ6XU8WXJTaKS8OQXTShO0yeLEVRaJcVOhQDcGNE/YQja+PRqBimOQKDYc8XFzFIp6evrubd8LpU6Jx3wBf4+2iB08HdhQU4qfk9HEN1+hqPFZo2lTmGuM8/xbN2Pa5Vq7G++z6eHeHDQ1F334X1zTdRnC5U8fEYx55N/u1hQmkVuLfvwHrjzaAooNUi6fUoIcJLTZJeT8KnnwR1/PLs3o33yJHyx/v2+T+/5karxZdxjOwLL8G9fj2+nFxinn6Skt9+B8D++3Q07doS89ijACheL5JGg2fLFoqnfEr8xx82ZvWCIAiCIAiCIAg1JoJmLZTh+ltwL1qAd8vGxi5FqAPuo5mNenxNYT7tC/KJPvt09v61vlFrOZVFxTT+yXlBEASh7iT16oIELHr6vSrH6aMjufzn99m/YDkXf/Vv2o0axF9PvltlyAxAG2Ekc0P5xa2mHjKTVComTn0LY2xM0Lorf/+AJa98TPGxHLwOV7Wfe1Oye8aiso/zdu7n7+f+Q97ug2XLDv61Cl7xX6T/c/JzXPzFa2Ss3kyvy8c3RrmCIAiCINQRiWY7KXOTcIo8dWvDLL+c8EEzS/2UEiRU+4mqWrBY6qmOykRdtVPbugThlCAl9kfpeAkcmN7YpVTLag/u/PTYpZ148dquZBa4iIvSEm06+TDBsEeWcSin/FzLoE7RnNM/kTd+3Y8CfPtQf7qm1ez6RFykjleu68rE4anEmLS0ig8Mu2hU5b/lPV4Z81VzcbhlRveK4+4L2nP5yFYAWH70nxepHLRLiNZy49lt0GlVDOoUwxm944mLKg8DRJu0nN0vgY9mHypbdjr+YIoBNWcQz1DMzCOXTVhZTD6diSAcCYgovZzehQhaYyCd4LBbDyKIJXSAYSRxdMTIN2QgK9DnrQ0AHLW4UT+yjCi9it9u7MlZXcxh62iKhrWL5tjzw/jfmiw8PoXrByfRKiZ0kOK8HnHcNCSJL9fmsDfPyXmfbiOnxEO/1AgePCONPqnhvwbhTOyTwMQ+5WGnS/smoCgKmkeXly17Zu5hnpt3OKDTWShjDUYkSWKnx82bxdaqB1ewzO0K6ELWS6PlMqOJayMiMErhg1ZORaFPVgbBvcFguE7Ph+Y4zLUMau3zeripII/DPl/Zsm4aDcN0ekbpDdwWouNYKF21mkqPtcxMSGJAdiYWxd+acG6lzkwVOzW9VodBsCJZ5obCPPJkmY5qDdMTkmr9vJxK5Aqhp8vzc1mfnIq2jv8ovThE4LIiRVGCJpFraBVfI5cYjEx3+n+/3VyYx7KkVAy1qK+bRsNurz9kZpNlIkv3/ZvDHjZkdo7ewJPRMRTIMr00Wg75vHTRaNGJEwQthm7wYJSiIoreqH7ib+OEC4i4+kpwOtGPGI6mfXsK7n+gRseRc3PLQ1geD4rn5DqCNqTYl19E1ye4W66+f3+Spv+K7auv0XbqhGPWrEaorg54PBS9/u+yh/Y/Z/pPAnrLQ6nOf5aUBc0sz79I9EMP4Fq3AXW7tg1eriAIgiC0dOJ63MkRT50gCFURQbMWStJqifz3e1guHQ/O4AseQvOhRJvx7gk/M1hDkSSI27GWmC7tKdp7pPoNhDqnre5KmCAIgtCsZG3ehVpf9c1ACT06ccUv/0diz86kDuzFrj8W8tUZ/8KanlXt/tuNHsyhv1fXVbn1rtvFZ9NuVOjZjLUmI2e/9hAA30+Y3JBl1bmlr3wc8Dh3xz52z/gLW1Yem/73K+Pefpxj67Zhbp9W633b8wvZP385bUYMwNyu9tsLgiAIgiAIDepAmOWhupwdFyqcFipMdLLMIZaF6sJ1nKgrWHOsSxBOHT1ugIIdYNnT2JVUadvh4qBlgzrHoNeqaZ9sqpNj+HwKe44Fdnc6s08Cz17VlXemH8DjUxhSiwDUxNfWMWtdDs9M3cPpPeKY+lB/zBHll6PVagmfTyHP6ib1hgVly5dsL2DJ9gKufHNDlfu/YHAyb97Us9o6vl/sv64Wg4ZhBAZfjKi5hBR8KGylmCLC37itAB9yiPtoTwQabqYN8yp1KlMB55EUdh8S0LGKkFqxS+acT7Zh//cI9JrmFaKJNWl4+MzW1Q8EPp7Umbm7C8m0epi/xwLApowSftiYy87HB9E+zlD1DmpyjBXlE3eqJH93rppcWtuJP0ClqXB71Tl6A2lqNSZJ4hpTJO/arPxWqUtSZdu9HrYXF/FScRHvxMRyuak8QOdUFD6yWXnfFvx9DfBzXCKn6Wvf8cijKHxSUsx/iq1BwbXdXi+7vV6+sQd3cHs6KobJkVFlj/N8Pha6nFxgMAaNVUsS/yQl0y/b//zeX2E7myxzrLTb02ex8bWuPxy3ojC5MJ+9Xi/JKhXfxyeIkFk1HoyMZqBWxw2F+VgUmQ0eN8PquIvWpmqCLgqNf5OiQZK4yGDkT6ejLGQGkCPL3FeYz1vmOGJq8FqaZi8pC5kB5Mq+sqDZHRFRzHKGngxvgcvJ7XJU2XPfS1XzLmpC8+DesJGoW26uepBaTfTDDxJ97z1IajXRjz5M8ZRPyL/9DpSa3L+lUqHIvurHNUHanj2IuPaasOv1/fujf78/itNJxoAT73DalPjS0yn+KPDan2f3Hhxz5wFg+/objOeMxb1hA/qRp5/QMRSPB8fceahTUtAPaRnPmyAIgiAIgiAITZ84G9eCqdu0xTT53sYuQzhJSkq7xi6hjORx06NwD4P6JDBwcGsG946j09mDGrusU4bSjLq3CIIgCNVTfD4M5uiw6/tdfwm3rZlGYs/OFB3N5MdL7uKnS+6uUcgMILl/D9y2qm9+aEr63XBJyOVFRzOZfuMTHF66jvw9B9k/b1nDFlbPXFYbP158FzMnPwfAoX/WIEkSP158F28lnsb0Gx5n37ylAHhdblzFtpD7URSFP258kt+ueZiP+1zYrLq+CYIgCIIgnKIs4VZIkmQOsypUOC3c2JMRKvRU1Z3/oq5gzbEuQThlSCoN9L8PpKY7H2ex3cvIx1cELb/yzQ2oLppJoc1dJ8dRqyXuviDwOtQ70w8QcfkcPD5/QqdVDQNAv63IZNa68m43y3cW0PG2RcReM79s2as/70M7cVZAyKw2Cm016+ax6aC/K1WnKrqVnUsiBlTk4GY04bswuZB5iwPsoJgpHC4LmcWh5Spa8SxdyrqeVXQ832THRw4uLiSZCSShLl2urjTdtumJFXh8co0+v+ZIq1ax6I4+dE8yoldLJEX6J+By+xRu/nFvnRzj5QVHAYg1qsl/+TRW3ts3oIteRfeMTC37OMPpYqPbxdl52QAYJYlPYuN5KSaWJ6LNtNVoeN8cx5HU1gH/OmvC/wx5uKiQtpnpZf+6ZmWEDJlNi0vkSGrrEwqZbfe4uTgvhzdLQ2Zn6vUsT0wJCIJVNEirK6t9cqUxCWo1V5kiiAoRwMny+Tg9x39O2oDE1RUCdBs9bo7/NBp5EqEmmyxzR2E+P9tLsMoy9xTms8LtIkKS+CougVbqpvvzuqlQSRJjDEYuKg0LLnPV/WTElxv9IeeROn3Za2l9kv976bGoaFRNpI3A2+a4gH5jBiRU+LvxnZWbxRxH1efOvy6x8XBRIQBq4ANzLB005ZMG9tPpuCsiiiFaHUN1Ou6PjOJcvf93pQT00Zx8t1Gh6ZKLilC1Sg27XtOxA0l//E7MA/eDSoV9zhyyzjwb61vv1CxkBmh79MB78FAdVdywIq65JmxnQ9s331L05lt49u2nZPofKEVFDVxdw1HsdvJuvpW8m28FWcazbx+uDRvw7NpNeuduZE+4COt/P8R7zB/ilq1WFHf49/dFb7xF/uQ7ybl4IvbZcxrq0xAEQRAEQRAE4RQngmYtnHZMVRPgCs2BR2l6JyK1menoDu1Dk3WMxM3L6XL2wMYu6ZQgu+rmwrEgCILQcDRGAz0mnUtUWnLQuh6Xncv++cuDlusiTUyc+haXfP0GPo+XJa98xIc9zmf3H3/V7tj65jNTpikhli7njQ657sCC5Wz++ne+Gn0tH3Qbj1xhFtGW6PCStXSZcCYF+45gzytk8zfT+W78rRxespa9sxbzy5UPhtwuf89B9sz8G4CBt16O1hQ8+7AgCIIgCIJQc5IkfSJJUqEkSYokSeslSarrE61VdZYK2d1KUZRQIaEG6YSlKEq4DmyirhZSlyCcaqSodhBZs05MjeGMJ4NDZhVNX5VdZ8faeTT0pDbHXfxqqEaMgRZvzWPSv9eXPb7lnDboNSpq0EwKecYENv1nNGP7JQStS4kNDK7cdm7bave382gxdpe/C8gQYsKOi0TDuSQCsIRCziUBU1kMLNjPZJKDGwMqxpPIXbSnO5FI1fTvWU8RH3GYjznMTHI43p/EpwQ/Ozk1DNI1V12TTGx/bBD2N04n84VhXNnf/zVferCIHVnBXbdqY9Vha9nz98TZbYg2aBjaLpold/chxhD8dX1ubOBr6eL83LKPn4qKQVODwMyixJSA4NmhlDSuN4UPN1YUp1KxLbkVw04gYOZSFN4uLuLCvBy2eT3ESBLvxsTydWwCbTQaHo6KKatpVkISj0VFsyAhmd8Twnfeq8ytKCx3OTno9TA0JxNb6ev1DXNsQOjLKstl3+cn8+q9siCX2U4HjxQV0jv7GHNdTtTAx+Z4emmbz3nupmBUaeBpiatyj7uToygKy0v3eXtEeVAxUa3mSGpr7okMP6leQzNIEiMqBB+dKPwcn0gntYZcWWayJZ83rOEDLlMqhEKXJaZwkTH4+/qJ6Bh+TUjil/gkHo6KYV5psG+M3oBJdN9r9rR9+6A/+ywI8bsg8qYbcfz+R8jtIm+6keT589AN6I9zxUpyr7iK/Ftux3f0aK2Or05NQc7NrX5gEyMZ9ERceknY9dYPPsL6/v+RNfpMCh96pOEKawLc27ejMhpRXC4Uux33ho0Uvf5vcq+9DsXno/CZ5yj+9POQ2ypOJ8VTPgFAN2gQ+qFDGrJ0QRAEQRAEQRBOYWLqpxbOt2N7Y5cgnCTPsZzqBzWy+M0rsA4dRPYa8XqrT1J8+Bk1BUEQhKZFY9Az6I6rSB3Yk3Uf/cDop+9g1ftfk7/nEAD9b7qUM1+8j497TwjYLm1oX8a99yQFew4x/cYn2DFt7gl3pnIWNp+ZAHtfMwG1LvQNA7k79zdwNY1r81fTMcZGU3TkWNkyc/s0knp3YfbdL3F0xcaQ25nbpdF21GAG33EVfa65sKHKFQRBEARBaJEkSZoGTKqwaCCwQJKkTg0U1DFXsc5SaX3Hejh+5X3W5HO2IOo6rjnXJQinDMXrBNuRxi4jrOMducLp2qpmYZaaCJF3CvD3lnzSblhAm0QjB7PsRBrV3Hh2G9Qq8MnwxYKjHMkNPH+1+aAVyw/n8sAX2/lkbuDzrFFLpMUbmPb4IAZ3MQPQt0M0818+DUVR8MkKGvWJ36T/0axD/uMgkUrV3dj6E002LlZhYR55jCeRxeTjJHRnsX5EcS5JVQbSjutOJLux4UYuC6OFii7Fo+UI/oDCwzMO8uO/ule771Cyi93szXMwpE0Uek3zCDncMjSZnzblISsw4N2NXNk/Ea+sMHNHAfEmLXNv64WkkticYSPD6sbm8nFZ3wR6JJuC9jVvd2HZx9cOLA9UDWsXTaxRQ5HTFzB+8YHQ506/io3nLMOJTeCkkiReiYnlZ7sdZ5iY5ZqkVFLU1b9+wsny+bimIJd9pZNxnWcw8nK0maQw++yj1dGnlkGtYlnmlsI8VlXqrPJUVAwTjYHP/Ri9gTZqNUd9PvpmH6O1Wo1Bkuij0XG6Xs9lRlNQ977KZEVhqycwpmaWVLwQHcOZhpp1VBTKjSoNL272uCmSZWLqKPS0w+vhmOzDgHRCHfga2pTYeF6wWpjtcPBMdAxDdXrmJCbzdFEh0xx2PiwpZphOH/Qay/R6yZD9Py8iJYm0KjoXHues8Iv0mejwAWeh6dOPHEnEVVfg3rIV1+rVxP77dQqfehp8/tdEzFNPYjj3HLLPGR+wnTotDfNrryD5fBT/97/YZ87Gu//Er2159u5F27Ejnp27TurzaWjGCRNQmc0h18nFxfjS0xu2oCbE8cefqFu1ouSnnwOWG88dh+Jy45g7D7mwEO65K2hbyWDAeO44tF27EP3Qg0japjdZuSAIgiAIgiAILZMImrVw3h1bG7sE4SQopkjcBw41dhk1EhEpTvTXtyMHajfTlSAIgtDw1Dotg+64iqRenVn70Q+sfv9rDLExaCNN3LF5BumrN+MoKKLDWaex/I3PcFltZduNeuYuIpLi+O7cW3Db7CddS+H+o0hqNYrPV/3gRtb/holh15Vk5QU8NsaZ0Rj1lGTnt8juZs7CooCQoMag54rfPsDn9rBr+kLanB66k6zGoOemJd8B4PN4KNx/hITunRqkZkEQBEEQhBZoUpjljwOT6+gYVXWwqioQtA6o2F3NXCfVlJIkKdT+QnXgqkzUVa451yUIp46i/aCEDhM1dRLQt31UtePCcbp9yAq8/8cBNh2w8vfWfGJMGorsgedZdnx0Bmc+uZKcIjeZhS4yC/2dbHKt8Pz3e6o8xrp9RWw/auO/t/cOCpp1SY3g79eGk2QODipIkoRGXX0nqarM3eDvAJJE9eEaCYlzSUQG1mBhLrlcRDIyMjMJ7iTiQK5RyAygIyYerEGOuBAP/+EgANM25/HORS7SYmoX4jhW5KLNy/7OczcPTeazK7rUavvGclYXM5OHp/Dpyiy8Mny3ofw5L3G76PlW8K+u5+cdIS1Gx/fXdmNkx/JAx5dr/BN3GjQSKVGBN2BnWgMDUwC9UkwcfXYIH61zc3TxXua4nPydmIK5DkI5e1LT2OlxE6tSk6xSIdWgO1pNfVViY5/XiwGJ982xnF8h+PU/WzEvFIcO0F1uNPGOufoGqoWyj2vz89jmLQ9+tVWredccx1Bd8OvSpFLxcWw8E/Ny8ADppeei93m9/O60owBXVuryVuTzcVNhPus8wV8X8IfxIiWJSNEV6oS0UmvopNaw3+dlhcvFecYTC05WNt/pD8SO0usx1OFrur6YVSreN8fxboyCqrRegyTxakwsa91uDvm8XF+Yx5NRMVxviiDd5yNb9nFDQfn1iBEhXvOhbC4NZUZIEq3V4has5sg4/lwM543HtfgfCu5/EHw+9CNPxzDmTFqtXYV7124UtwfjmaMpeOgROB7EVamIvPkm9COGY3nmuVp3LgvHd/gI+tOG1cm+GlLktVeHXefLDbzWh0bjD6WpVci5eSA3z/flNaU4nXgPBJ7qMZ43npjHHqXk26koNhu6AQPCbp/wxWdlH7u370DXq2e91SoIgiAIgiAIgnCcOMvRgvkOHcA9f05jlyGcBKVVBziwqbHLqJEod3Fjl9CixQzsyYENOxq7DEEQBKEKKq2W4Y/ews5f5rHm/77FlBDLqGfuZPiDN6KPjmTn7wtY/f7XHF2xEWO8mYv/9xojHruV5L7dSOnfg0VPvcvuGYvqrJ59c5cy7P7rWfXul3W2z/rQ918XkzLAf0HEciidjLVbaXv6QDwOF3Gd2tL76gkk9u5C1wvOJK5zO6wZ2WSs2cLeWYvZ+t2fjVx9/Ws1pA/Jfbsx/5E3iGmbyhW//rdsnaOwiHUf/0Dezv20P+s0uk4YgyLL/HLlg7Q+rR9j//1II1YuCIIgCILQPEmSFDrZ71eXXafM4VYoimKpYrsFBAaUkCSpYx12Wgv1OS6owXairsBjVqep1iUIpwRF9sKeHxu7jBOmAHd+vJWpD1f1Kyu0VbsKGfHY8qDllUNm8owJAGR9O46flmQwZe4Rth22UlDsCdOnyU+jlvD6/CPio7T8sy0/aMzOdBsp1/t/JM18bgjnD06u9ecRjizLHMz2T+DUi5qF8SQkziMRGYV1FDGDbC4iiTYYOFraaey4g5z85FCVxaJlPInMLQ22DXp3E1kv1u7m8kJH+devuXQzA3+w8KPLOnPP6an0eXtjjbfLKHIz5uOtfHVVF64dlExGkYujFn8QcljbqKBgV5/UCNal28oexxo1dEs0IkkSD8cmYjfn81rdfEpletSyi1hNbff6ww1PRscwWm+gbWbNusNMc9gZqTMw0RTcDe44r6LwdJGlLGT2a3wiLkVhkE6HUQr/uuqr1bEgMZl1bjdWWealCmG3161FvFtspViRsVXXPhG4ymg6qY5vgt8ovYH9dhtL3c46C5otcPo7V447wY5/jUVV6eeBQZL4IT6BRy2FLHO7eL24iNfDBDRfjDbX6Bi/Ovy/G9JKO/oJzYvpmqvxHU2n8P4HQaXCMPZsom69BcPI0/Hl5GD7/gdKpn6P79gxNB3aY37lZdTJyWh79UTXpzfFUz4l/+Zb67wudUIiUlQUSnHzuA/HdNml6IYOBUC22bD/+humyy/Hs3UL+mHDUCcnEf3AfWi7dUM/bCiq2Fg8e/fh3roVx5x5OBcubOTPoOFF/OtaFKeTovf+Q8TVVxH94P1l63x5eZR89z2ePXvRDx2C4awxqFNSKHr9DezTp9Nqw7pGrFwQBEEQBEEQhFOFCJq1YI6vv0DOyWrsMoST4JXq5yJEfTDu2kL7Madz6O/1jV1Ki2TXaasfJAiCIDQ4fXQkKQN6ktyvGyMeuQXLwXTytu/j9Mdvo+dl49AYDai1Wv646Uk2ffVb2XaOfAszbn2GBw4tImf7Xr456wZKcoJvvDkZXqcLSa0mpl0aRYcz6nTfdaHD2cMZ/cydtD/Tf+OM7PPxw0V3krN1D2qdltRBvblpyVS6nH8GqYN68dmQSdjzCvE6nNXsuWU5snQdS1/9mPVTfuS0B2/EEOO/Scpjd/DdebeRsXozAFumzgBJQhdhpN0ZQxnz8v1V7VYQBEEQhHomSf5/wolp5OfOUsW6ugoBQfjQWnXH+AV4I8S+6jOg9HMNthN1lWvOdQnCqSFzJeRtauwqquT74wLUF88Ku/7msW1PaL//bK/+/NPk8e0CHl85Oo0rR6eVPf5+cQbXvVseCkqM1nHBkCTuPK8dWo2KgQ8sBSAt3sCHsw9VeawJL60t+zjFrOecAQl8eEdvIo21uyZid3rRaiSMl81BLs2yDCS6xttLSJxPEgqwniL+JIeJJJOGgVUV3hpUHbOrvSI8/EYW6TiJQUMRXnJLPOzOsdMtKXwgqLJeKREceGowBwucnNEppvoNmpj2cbXr4AYgK3D9D3v596IMOsYbypa/PL49AHa3l3M+2c6qw8E36HdP8ofMlMg07H8HBy+bsh0efwjssNdDz+xjtdr205LiKoNm91oKmFUaJro9IpIhNezmBNBRo6WjRouiKLxvs2ItDZUVKDLVfdsM0OqYZDRxul5PR424HloXRun1fGW3sdRVN+fSM31etnk9SMDZekO145u6NLWGr+ISuDI/l/WlnfWigIo/Lc7WG0jT1Ox2qh8dJQDs8XqrGSk0BVJMDLpePdF06kTUrbcgGQ1Ynn+R6AcfwHT1lajj4lCZTHiPZZJ1xhiUkpKybb0HD2F59jlS/vkbz/bt5F51Lb7MzHqps+SHH4m+/16KXqnrKHQdUqkwnjuOqDvvQD94UNnigocfxfHnTApfeAlkmeQZv6Pr14+Yxx6l+IsvyTprLLKtBE7x75n8yXcRfdcdyDk5RF5/XVlQ3pdfQM6kK/Hu8XcQtv8+HQApOhpJryd5xu+NVbIgCIIgNEnietzJEc+dIAhVEUGzFkrxeHDPC38BSmj6fN0GYFtR89n7moKk3evITknEkZVX/WChVrIONb2AgCAIwqluzCsPcNr916ONMGE9mknO1j1kb9mN1mRg1btfMfP254jv1oFrZn/qDwGVUmm1dDpnBCOfuJ0tU2ew4NE3cVltVRzpxK376HvOevUBFjz6FnLpTQiNSa3T0ueaCxn2wA0k9+2GPbegbN2mr34jZ6v/oonP7SF95Ua2/TiLvtddzNoPv8N6tH4u1jUHS16ZguzxENOuVdmyWXe9WBYyK6MoaIwGJn7zBpIk4XO7UWk0bP72DzqMGUZM21YIgiAIgiAIVVMU5UDlLhgVVA4GnYwhYZb/UtVGpfUdIDBIdA5QV9N/V65rQzUd1kRdLaguQThlHG36HRMkSUKeMQHVRTOD1rVLMnJWv4SAZRXHbXh/FP07hg4bpcWFDwic3TeeBa8Mr7a2NXsKAx7nWt18/Vc6Xy8K7Kyku3R2tfuqKMvi4tu/M/j27wyuHNWKxGgdb9/cA51WzRcLjvDe9AP0aBPJz48PwuuT6XbHYnq1jSIhRsfXfwV3dTLW8jK4CokLSEJGYSNWfiebPjXsinai5pDDYfzBniLKb7a+fdo+/rm7b6321S7OQLsqvr5NWX5JzW809709kj+25TPp653ICuzItrOjtItdG7OOER38X7N7fz8QMmQGEB/hDzN53TUPIzYFx7xecmUZgP/ZS4LWX2gw8k5MLAZVYPexflkZFCoKu7we7LKMqdJ6n6LwgtVSFjIbrzfwYOSJPTeSJHGewchPpR2ehut0xEgq9JKED5hZegyAj2JimWCKOKHjCFUbrtOjAQ77fBz2emlXw8BUOAud/sDaQK2OhBbScU4nSfwWn0iOLKMCNnvc3FyYT4wksSW5VVBnRKFliH3nLUyXXIxkMODLysK7Zy+ePXtQxcXhXLqM4v99iWK1EvfeO3gzMgJCZlJUFMZx5xB1263YvvqGojfeRLHVz7U9ALmgAPfmLRjOGoNz0d/1dpwToYqPJ+Laq4m87jrUqSnIheXvDZ3LluP4s/R9qcvfbbTwyadJnj0TxevF+s47yJbQXQRPNUpxMUXvvg+Auo1/EglFlsm/9baykFnAeKuVhJ9/RNOuHbLDgcpoxHPwIK5Vq4m46krxc0sQBEEQBEEQhDongmYtlFJiQ7E1jxbqQjC5Qw+Klm0En6+xS6kVldtFat92HBBBszqliYqgSDyngiAITU7Whh18O+4WcrfvDRsUy92+lwPzl9Pz8vEMuetq3DY79nwLJTkFTL/pSQr3H6nXGj0ldv568l3OefsxFj72Fj6Xu16PF4o2wkRij450Gj+KoXdfS2RKIrk79/Nh9/GYEmK5efmPuIptLHr6/aBt/37u/+g4dgSdzh3Jkpc/avDam4rjIcHjXz9Fltn2Y+hJJbpOOJP0VZuZ99DrtB09BJ/DyZapM+hx2blc8cv/NVjNgiAIgiAIzdzxAJAFMAMbgNsURanLjmZjwyz/qQbb/gI8VoN9nYjK+/qkFtuKulpGXYLQ8jlyG7uCk3Lw87MDHu/PDAycDHxgKX+/NpwzescHbXvh0GTO7BPP4q3Bnc3mvTSs2mO/Pm0v/zfzUNBypew/4WnUEl5fzTqC/bTU36npg1mBx9px1BbQ6e1QjoNQ2nJigSsVEheSjAJswsoWgq+1KihI1M2NvHGE7t7UK6Xm3cxaAqdXDlqW/txQUqN1APy0KZdrpu4GINPq5uLe8Wx/bBC3/rSHlYeLkRWI0qt4Y0IHlh20klfi4edN4a+r3TQ0GQBPTt10e2ooK92uoGWfmeM512iscrspsfFcWZCHD7g8P5dZickB6ztklU92KQGfxMaf8M3qDkVmUWkXrbdiYrmyQpDMqyjMrHAsETKrP5EqFf20OtZ73Cx3O2mniTyp/c13+X/WnmNonmHWcCRJIrk0OHfQ4Q+8dtBoRFijBXOtWk3Jd9/j2bsPpTj8/VRFb7xJ9MMPY379VbS9euHLyEDSavFs20buDTciZ+c0SL2OP2eiHz0K06TLsP/ya4McMxx1q1Zou3XFdNmlmC44H0mvx7n4H3IuvgRNly4k/fg9ittN4VPPBG3r3rSZ4v99RdTNN2I44wzsf8wIcYRT1PFJQkt/x/uOHMG1ek3IoZqOHVEnJ5N386241qwl9q03KXjoYZSiItTx8RjHndNQVQuCIAiCIAiCcIoQQbMWSmWORXvGWXgW/9XYpQi1pMQmYt2Z3uxCZgCe1NYcWrq5+oFCrZjatYJtexu7DEEQBKGSnb/Nr9E4tU5LdOtkvhx17Ukfs9O4kWRv2Y0tq+Y3RHkdTg4uXEHXCWPY+eu8k64BoP2ZQzm0OPBCx0X/e422IweRu2Mf1vRs4jq1IaFHJ2LapCJVmiV31h3Pk7/nEK1P6w/AoqffpyQ7+OYPy8F0PuxxPkPuOfnnriXwlgbNJJWKjmNHsHfW4qAxm778je0/zcFjd6DR6yjOzKXHZefS+rR+DVytIAiCIAhCs/YJ/u5ljyuK8mk9HWNgiGUHFEXZUINtfyIwoDRQkiTzyXaskiTJHKKun2uxC1FXy6hLEFq+tuNgxxeNXcUJ23vMRpdW/tBAUYmHLpODu1y88tPekEGzmAgti14dzuNf7eSt3/YHrDNcNoc174wM2w0N4M812WUfSxI8d2UXsotczFyTQ06RC7c3dJDs3zd057HLOvPzsmNc9WbwrzqtWmLjf0bR+54lYY9dU0/SCT0n3nFHhcQEktmENWhdAro6C5kBJIcIxI3saObDSzvV2TGag3y7P+Bh1KiYPCKFty/sEBD06FihU5tR6z/P2DXRyJJ7+uH0yCw7aCXb5uba73ajVHoJXjMwkZfObUeHeAPHilxYHD56lgb5XHsbJihQVzwVPr7IYOTZqBiSa9CparjewDVGE9877Gz1eljvdtFfq2Of10tspfO238UlnFTI5iVrEbmyTJpazaXGwMDku8Xl31NLE1NO+BhCzXhK0781zPeGZZVlVpR2JTrXUHWosTnb5/X/HEpTa8j2+coCaNUploODskLTZZ9WZQPxclod+qGDybvpVrz791c/vgZMky7DPuNPcNduQkjXkqXEff5pnQbNJKMRbc+euNevD1ge/cjDRFxxOd79+/EcPIg6NhZNp05oOnZAZQr8mS7b7eTfcx9yQQHG884DwPre+3j37Qt5TMszz+KYPRtVfPD7UwGU0p+z6rZt0XTqFPJ15z1wgOzzJ5R12rP//juatFboLpyAFF2/XXgFQRAEQRAEQTg1iaBZC2a8/R4RNGtmFLWGEjkS2ZLV2KWcEHtSa+StovNWXVOZoxu7BEEQBOEExXfrgNtWwoq3/3fS+4pMSeTyX/7D0eUb+O6822q1bc7WPXQcN7JW20gqFSqNGp/bE7Su60VnBwTN2owYQL/rL0GlVhPfpT0Ass+HKsTF2GPrt3F4yVoAul18Nhu+mMaa/34btg6nxcrSVz6uVe0t1fGOZh6HE7fNHnacx+6fYTYiKZ7Jm/4QM7AKgiAIgiDU3qeUBs1KP65TkiTdHmbV5JpsryjKBkmSFhLYtWos/g5ZJ6NyF6xfahN6EnW1jLoE4ZTQbjwc+AOcTft6xthnVoZc3imlvAvQA59tDznmk7v7lH380Bfbef+Pg2WPu6VFYI7Q0C0tgt0Z5d3QvD6FEY8ux/7r+WFr+uWJwQx9eCnHClwoCrz4414mjUjhyJf+Hz2yLJNtcRNj0mAyBF+GvmJkK64Y2Qqn24tp0tyy5YM6x9CzbTT2aefx5V9HeWbqbgpt5eekIg1qrh6dxmfzj4StTQIm0/akQmbHLSD0JE8jiT3pfVeUiC5o2f7cElYcKub0DuXXhn7ZnEuUXs253ePq9PhNRVax/2vdLy2Cdy7qGLR+4zH/69SoVWE2avDJCj9uyuVwgYtBbSLZnlnCoyE67T15dmueH9cWrdofpmoVo6dVWY5SwrmhLpvV1r8vS2wAjNbp+SC25jfqy4qCrsL5wYn5ubRTqzlcadLTzcmpxKpO7vtni8d//jLD5yu7EWWT2817Nit/l3Y6u9xool0NAnLCyXGVpi7VJ3lqeI3bVRZy7KQJ3YWxJWij8b/2ZzkdzHL6z6/faIrkwaiosN8XK1xOrioofy8xOyGp/gsVGkTkNVdR+MxzdRYyi7jmauLefhNN6zSs7/9frbf3HjgIOl2tQ2qS0YjiCO7+qrhcmCZeEhA003TrStSdk1EZjWhap2E4YzRKaZCy8mSSACXf/4hcUACA8YLzsP3wI9b//LfKelwrQr+3bWgHvB6iJBWJNQyUNoTjQTM5L88/m0O4cSXl792jHrwffY8e9V6bIAiCIAiCIAinruC/BoUWQ9unH7pzL2jsMoRacLfvi3t36Bl+mgO7T/xIqQ8ecXO4IAhCs5W/+yCz736JoKl0T8DZ/34YfVQkacP6oTEGz3ZcFcvhY0Qm1/zmA5VGw/WLvubB9CWMfeMRolsHzjBbuP8IXSeMQVKpGPnkZG74+xtUajUeu4MNn0/ju/Nv4zVTP6bf+ETAdkdXbmTnbwsAUOt1aE1GZt35Yq0+l1PZ1u9nsv6zn/nuvNs4/M+aascf+GtlyK5ngiAIgiAIQtVKQzlvAh0lSfqkHg7xeIhlCxVFWXgS+7jyJOo57slqjlEToq7aaap1CUKLJmkM0POmxi6jWn3bh56Ezu0t757y9aL0oPUr3jydjhXCaBVDZgC7M0pYvacoIGR2nNMjM/mDLdidXj6afQirPfCG5lbxBtK/OodN/xlVtuyXFVmMeHQZbreMSqUiNc4QMmRWkUGn4bRu5rLH8VH+8IJBr+bO89uT//25fHZPH+KjtAztaqbop/F8ck9frD+O54PJvcn+9hzkGRO4aWybsn1cQBIpITqE1YYHmZUUshpLyPVdiAi5/EQlokNdqUNaZrGH0R9uof3Lazj/s21oHlnGld/u5vzPd/DV2iyUOjjP2NRkWv2vs+So0CGWP7fnA9A6Rsff+yzoHlvO9d/v4dm5hzn/s+0BIbNpN3Tnn7v7YP/3CF45r31ZyKwyJSIJ2RZ8831TttPrj/sscbsYmH2Md4qLOFTahSmcPJ+P9lkZfGUP/H6vHDK7xhRx0iEzgNG68u/Bey0F3FiQx0X5OfztcqIGrjJG8GpM3QY2hdAuMPi7D02z20/q58YCp7OuSmrSztYH//74ym6jX3Ym3hDPX5bPx/UVQmbXmSLorQ0ODwvNU9G/38S1ZGmd7EsVF0fMU/4/0fSjR1UzOjTfwYOoU2rXCTLy5ptI27WdxB+/x3jhBKgYFpNlUEloe/YAtZqoe+8mZc4sVEYjis+HY958Ch58mGMDBpPeriO+3MAAfvGXX+E94g//qxISkO12Ch8LvB7YVC1wOjgzN5tBOZkscjad9wFF776P7Ztvybl0UtiucEHbPP9iWUBNEARBEARBEAShPohUSAunP/+ixi5BqCFft4GULF/b2GWclMRje0jo362xy2hxbMXBF3sFQRCEU0urIX3o96+LKc7MYf4jb3D1n1MYcMukkLMIhtL9krGMePQWelx2btgxkkpFx7EjmPDpyzyctYz2ZwwlIjGO0x+7jXt2z2XEo7egizShMejpcdk4Lv/l/7ht3a+c/dpDqHU6srfu5qNeF/Dnbc+wb84SfG4P+ujIsv373G5+v+5Rtnwzne4Tx9Lr8vHMvON5ZE9wxzQhtLyd+5l5+7M1CpkBoCj8evVDZG3ehdNipWB/+Fm/BUEQBEEQhECKojwOHABur6IDWa2V7qtyqw4LcHlt9qMoygYCO19NkiQpuAVIzesaCAyssOhTRVFq3eZD1NUy6hKEU0LqcFAbG7uKKuUXh+5a8dZv5d01uqYFB5+mzDlc62NdPyat7OPP5h8h8oq53DNlGwnXLOCxL3cgy3LA+L4dYvBOP5+BnfztoVbttmCYNLtWx/z58UFlHy/fWRh0jFvGtSP3u3NZ9fbIsm7tkSYNd13QnsQYPQs25vDlwqMAdMLEYMy1Ov5x2ynmd7L4iEO8xj7mhelmBrCN4hM6RjhaVFxAUlDYDOBokZt5uy1UjDfc8tM+Lvt6Z53W0BRkl77WU6KCQxpOj8zsnYUA7M1zMnbKtrD7+WBiJy7tk8DIDjHoNVWfN5Ul84kX3Ejui4wq+zhPlvmvrZgzc7N43FLIfq8nKEy0zeNmYE5mwDJDhddaqkrN8sQU9qSk8e8TDH9l+Xz0yMqgbWY6h71eHo8uaxnHDKeDRaUBs0lGE38npvCmORaDmGCzQVxlisCAxHqPm7knERbb4z01zt/30Or4KS6BD81xtFcHhqUrBsqOW+Fycvy39PLEFF4TAUohjJinn0QdF4tj3nycfy/2B78m1GLCcI0G44UXkPDpFDQdO1Q5VNuvLzFPPk7KP38T+8pLSFothtGjSPjkY5Lnz8VwxmiQJFRJSRjPOYek6b+RPG8O5iefQDIY8GZmknPRJeTddAslP/2MnJuLpNMhGcqDmK5167E8/SyenTvRDRuKaeLFFN73IFQKMDdVx7uDAtxpKSDTV3Vgu6E4ZvxJ4RNP+bvX1ZBr2XIKHngIxefDs3cvcnHdvk8VBEEQBEEQBEGQGnrWM0mSegFlZ4C3bdtGr169GrSGU4lstVI4aqB/RhqhyZJbd6Ro62EUV+1a3TdFChJF/U7j0NbDOHMKAGg/ZhB6tcLeJVuR3afGyei6lJsQR3FeQWOXIQiCIDSi6xd9TYcxp/Hr1Q+x7cdZSGo1/W64hPZnDmX3H39hMEej0mo4tnYrmeu3B2zb/syhmDu2IW/nAQzmKFL6dye6dQp5uw5iOZiO1mSgw9gRdL/4bCKS/F3PFFkmd8c+Dv69GndxCX2umYC5fWvcthKcluKgDmeWQ+l8fdYNWA6Wz6KtMei5d+/8srFrPvyOv558B4BbVv7E5m+ms+LNz+vzaRNKmRLjUHwyjgILnceP4oIpL2Jul1b9hoIgCM3E9u3b6d27d8VFvRVF2R5uvCDUh8rnPBckpNBVG7ojg1C9PR4P5+RlVVzUKN/XpYGf9YAZeLM0fHay+9sfYtWg0sBRbfdnBg6W1gf+rmjnnGBt6ykPKB1QFKXTiexH1NVy6hLql7hW1jQoa16G7BpO5tIIOt76F4dygjstvH9bL+670H+jseqimSG39f1xQVk469tFR7nh/c0nXY93+vmoQkx61O7mhRzNKw8xyDMmBI2RZZkb3tvMd/9koNeqcPx6PgDjnlvFwk3+G/gnDk/h1ycH16gWm91L8vULcbi9GFDxCB3RVDG/qoKCFCLMtRsbP3AsYJkJNQOJZjc2cgm8piUBV9OKrkRSl7Jw8QuZ5FGz64QZzw0hJVpfpzU0pjt+2cdnq7J4flxbnhvXNmCd0yOT9tJqLI7AG9ivGpDId9d2wycrqCTKXu815ZK7k/fe3JOuvaG5FIXVbhc7PB6Wu538U6GTiRa41hTBYJ2e9W4339ttHF97vSmCV0qDMBk+L7s8Hobr9JhqOJFZOG0zA7sqbkpO5cK8HI6WBg4mGU3cFxlNe03VXQ6F+vF2cRH/ZytmoFbH9ISkoPW5Ph8bPW62eNz00ug4zxgYwJYVhbstBcxyOkhSqViX3KqhSm90XkXhXwV5LHf7v4viVCrcioKt0v1VVxlNvGmOa4wShWZA26cPyXNmIhcVkTVmLHJODpLBQMQN/0LbrTvOhQtRRUeDTodn3z7ca9dBxckZNRpiHnkIx4KFSFotUmwsur59UEVF49m9G19mJpLRiH74aRjHjkXTuvy6jy8vD9eatbi3bEHXowfGC85H0mjwZhxDFRONKjLwvYwvN5fca6/Hsy0w0B392CPEPHA/AIqikHPhxXj27UcdH0fS3NlYHnsC+x8z6u9JrEPZPh9DKgWwT9fp+S4uAVUzDkFrunbFu2cPktGI6bJLMb/4PCpj055QQxAEobGI64ktg7geV7eayvU4QRCaJnFGr4VTRUej7tEL3/atjV2KEIYSGUNxurVFhMwAJBTMm1fSV6fHevZA9K4SDFuWI0nQbdRp7PxrU2OX2KzoYqNFyEwQBOEU12ncSDqMOY2Di1ay7cdZACg+H5v+9ys+l5td0/9CKb1w33bUYK6aMYWCfYf558UPiO/aHnOH1mz6369l+9s3ZwkA/W+6lKv/nFK2vGD/EbZPm8vhxas5tHgN9rzCsnVLXvmYMS/dx2kP3EB06whkrxfL4WMU7D3E3tlL2Pz177is5bMAApz20E1lITN3iR1PiYNuF51F0ZFMfrjwjoBQmlC/7Lnl7yX2zV3Kqve/Zvx7TzViRYIgCIJwKlCQaNgJvlqWpvHcKYpyQJKkQfjDZo+VdouafCIdoiqE1io750RCZqX1WSRJOrvCfsdKknS7oiif1rK2xwjsgnVCISdRV8uqSxBOCYkDmnTQbO8nZ3Hj+5v47p+MgOXzN+Zy34Ud2HvMFmZLyC1yk2T2B5G8cs1+r/765EAuez38ryTNJf6OZe7fzkdToVvUj48N4vTHlpc9Ph5+Ox44+35xBvd+uo1Cm//GaZdH5swnV7D49RHMf+k0et61mF3pNn5fmUWbmxbidPvQalS0TTTyyxODaJ0QfKPssEdW4nD7O1BcR1qVIbMZZLEBKwADiGY8SehLxx/BH+RLRMdYEkhFTxQaJCSGYeYdArtKKMD3HKM9xmqPWxsp6LmdtqzFghUvVrzsJPzX98pvd/PP3X3r5NhNQVZpR7PkqOAbwwxaFeseGMCfO/I5kO8kQqemdYyeycP95x3VqhO7Mdx1tOjEC25EeklitN7AaL2BO4hipcvJZyU2FrqceICv7CV8ZS8J2u7laHPZx2lqDWnqk79N5JA3uAuMS1FYnpTKZ7ZiRur19NAGd6kTGs4kYwT/Zytmg8dN/+xjPBQZjQxscLtY73GXBQKPu8kdSYQkccDn5aDX/89Z+rfZaL0hxBFaLo0k8VK0mQn5OTgUhYIQEzsP0up4okIXP0GozPzic0gqFUUvv4qckwOA4nRi++QzTFddgWPuvLJJwzWdOxP7xutIUZEUf/ARnu07iHnkIYo//x9yXnlXPeecuaBWE33v3cS98XrZcl9WFiU/T8O1eg2u1WvwHgg8baHt2YPY115FP3SIvw6XC+/RdLyHD+P8ezH2335DtgT+blS3bUv0HZPLHnt270F/2jAwRYDbRdaoM8s+r+ZgusNe9nE/rZY9Xi/L3S7+V2Lj1gpdQ5sb7549ACgOByVTv0M/dAgRky5r5KoEQRAEoSGJ63EnRzx3giCEJ4JmpwDtgMEiaNZEKZKEw5SKb1/LC4Cr3C7Mm1f6H5Re44naupaItm0pOZIZfkMhgKFNKhRaG7sMQRAEoRGd9uANKLLM/EfeDFq39bs/6XrhWez5cxEAR5au48jSdYx8cjL3H/yLFW//j2WvTQnaDiC6dQqKoqDIMgsff5tV732FEqYLrtfhZMGjb7Lh82kosoLlYDpyiBsJjjMlxDLy8dsA/wyH0294gp2/zqvtpy7Uk93TF4qgmSAIgiAIQg1VCJtNA8YC+yVJ+gV4vaYBMUmSbgfeoLxjFcAB/CGzWofWKtW3QZKkc4AFpYs+kSTpgKIoC2tY26TS2o4bdLI1ibpaTl2C0OLF965+TCNSqyX+c3uvoKDZ7HX+G3q73bE47LaJMeXhjuMdw6pz2esb8P1xAbFXz8Vq94Udp7t0NpEGNU6PjNenIM+YwIvXdOX57/cEjFNdNJP2ScaQXdmWbC9AddFMpj40gCl39WHM0ytRFMjIL++MllXoou3NfzGyZxyLXzutrJvatW9vZme6/0bo0cTRmvAdG47gKAuZAWzEykasPEAHzGhx4D8X1psoulXqUhaFljtoxxQOB+33EA7e4yD30h4D6rDHrw0dKk6nvCtOIR7s+L8OW7CyGkvZOl8Nw4PNRbbVHzRLiQodSuoQb+C+UWkh150o17aWMQnWcL2B4XoD2T4fy11OvrOXYFdktlc6d1vbjm81EVupG1oXjYZklf/74bZmfMN+S5KgUmGSJOylQalnrJaA9RLQWaNhb+nr5Ut76IBrb42We07Br2kXrZadya1432ZlvdtNtEqFTZFxKgoXGUxMNJqIPMmugELLpRs0CMNpp+HatImSH38KWm//8WcM487BOd//J6B33z4KH3oEbc8eJP35B54tW8m7/Y6AkFkZnw91WmsAFFnG+s57WD/6GCp0uazMs2MnOZdcim7gAHxZ2fgyM0Gp+v2E+flnkAz+kKln715yLrgQxRH8vq65uMxo4tVi/3vIA14v4w1GfnfYeaO4iJF6A91bSCcU+58zRdBMEARBEARBEIQ6Ic56nAqqOTkgNB5P18E4t7S8kFk4KtlHXLvkxi6jWVHFnHon7QVBEIRyGoOe9mcOY9uPs8jauCPkmD1/LqLjuNMBMMabiWqVxNbvZ3J4ydqwITPwd7b646Yn+WzIJFa+87+wIbOK8ncfpGDvoSpDZgCD7rgKfbT/5pztP80WIbMmxnIog8KDRxu7DEEQBEEQhGZDUZQDiqIMAiYDFmASsF6SpP2SJH0iSdLtkiSNLe1ahiRJZkmSBkqS9JgkSfuBTwgMmX1KHQaBSsNIg0prA1hQ2t2qSpIkvYE/QAf+4NugE+2uJupquXUJQovWDK6fxYUJ3kz+cEvYbQq+PzcgVFJkr/o8TkXqi2dx7Rmtqx1nc/rw+vzPn+qimczfmMexr8cGjTseMmufZGTJ68OD1l/37kbOfGoll56Wwj0T2pMWbyDapKFLqwjUpVexl+0ooP/9SwH475+H+GGJ/5xGB4ycRUKVdW6jOOTyXaXdwhylQS5jmLBYCnp6VwqgHVeCj29ILwuD1bVYtKRhIA0DiQS+DtqUdqtrKbKK/d3uwgXN6pzWiHtXyzk3ttXjZkhOJg8UFbLW4w4KmQE4lOrP/dZWjErF5Aj/98cFBiNzEpJR1UOgTThxkSoVM+KTuNRoKls2QKvjochopsYlsDW5FX8lprAhKZXROj0jdHquM0XwXFQMX8bG809iMntS0piVkERHTcsIYNSWSpJ4KCqG7+IT+Tg2nm/jEpkWn8S/IiJFyEyoknHcOSiKguXZF8KOcc5fgH7USFCpQKNB060rnh07cW/eTP5ddyPn5obd1j59Ovn3P0j2eROwvvd+lSGzitwbNuI7dqza98Gabl0xjh8P+Luf5d91b7MOmQEkqNUsSkxGBRQrCoudTs7U63EB91kKcDWDvw1qwrViJYrb3dhlCIIgCIIgCILQAoiOZqcA36E6nrhUkkCtAa+nbvd7ipG79MX2z6rGLqPBGXR1M7PjqUKc/hEEQTi1pQzoCZLEoqffq3LcgfnLGfXMnfS7fiJbvp0OCnjsVV/wObZ2K8fW1kPXW0li4C2TAHDbSph9z0t1fwzhpBXsO0JshzaNXYYgCIIgCEKzoijKp8CnpR3KHgc6ArdXHFNNt4hfgMfro9NUabAoVpKkT0prekOSpMn4Q24LKQ8vdQTOKR1jLl32pqIoj9d1TaKullOXILRYtiP1s1+VDuT6Pbv/2bzwtZsjA8MAhcW1q+XjOcEdvPp3iGbDf0bz+rS9PP3t7qD1y3cW0OqGhQzvFsvK3YVB63d8dAYGnQZ5xgTW7ilk2CPLA9b/ujILAJ1Gwv7LeahUKrxemYEPLmXb4WK2HS7mxR928+IPewEwoeJfVN/hahRxaJDYTwnZpVdcUtAziBgAnKUhMUMVc7NeSiqtKGQ+wR1FjuHiQw5xOam0xxRi67qRUClotiGzed/oXZGiKGQVH+9o1jBBFtmYDOxskGPVp/1eD2flZhPutvg0tZoMn/81/l6xlaeizXVew9PRZp6KiqmXjmlC3eiq1fK+OY73zXFhxySo1UyNT2zAqgSh5dMPHYL99+m416+vcpxr6TJM11xN9G234Ph7MXg8SBpNtaEu1/IVdVhtsKibbiz72W798GM821vGBNqdNVpWJ6UyJCeTQkVmvMHIVo+HXV4PbxcX8XQ9/K5saEpJCb6cXDSt67YbrCAIgiAIgiAIpx4RNDsF+A7sq7N9aYYNx3jdzRQ/fHed7fNUpCS3pmhD8IW4U4Guni+utjRWS+jZNgVBEIRTQ3yXdmz7YSaWQxnVjl374ffIHi/L3/gMY5yZiVPfxGCOxmmxNkCl5RJ7dsbc3j/z9a4//sKRb2nQ4wvVk1Qq4jq3bewyBEEQBEEQmq0KgbOOwFj8gZ+Opf/MpcMO4A8FrQOmlXaraojaJkuS9Dj+ANKVwBthhm4AfgI+VRTFIuoSdQnCKam4roNmKuh5E7itsG9a9cMbyMaDJ39uqGOKiUKbmycv78Ljl3ViwaY8xvROwDBpdsC4UCEzANOkucgzJgAwpGss8owJrN5dyPBHAwNnbq+C5hL/Pgu+H8eqt04n8br5ONxyWcgMwI7MXPI4DTNxhO+CFYWGcSQCidjwokYK6F7mwN/lKVRHMzcyMgoG1Iwgjq5E8g3pWAnsFlWCj69IpzsRDMFMMnoiUCNRd8EbbaUg3L6cEnbn2OmWVH/htoZicfhwl3bHS4lumI5mPpehQY5TX7yKQvesjConq7zMaKKXVstL1iIA9ofoclZXRMhMEAQhmKZzJ/IfeLBGY+3f/4Cue3eKXnoFVCqibr8N06RJ2D7/op6rDM847hwAFJ+PkqlTG62O+rC7wqTqZ+gNJKjU3FqYz6clNsboDYzQN+/3CVJ0NOokER4WBEEQBEEQBOHkiaBZC+c7dAA581id7EvTbyDRH3xB0TUTQbTZPmGKIQJbgQ+lxN7YpTQKXUnD3uze3OUdzWzsEgRBEIRGlLf7ILE1DARpjXrWfvgdAI4CC7Pvfok+113E2g8a9gJQQrcOZR9v+35mgx5bqJlRT98hupkJgiAIgiDUgdLOZJ+W/msySgNHb5b+Q5IkM/4QHMCBxgokibpaRl2C0FIoigK5G+t2p4MeAVMyLH24Tnfr/v18dBP94auDn59Fh1sXhR177sDAm0qzCp043fJJ1/Dbyix+W5mF5/cLUKtVnDswCQB5xgQOZ9vpcFtwTcO7m1m5y1L22Gb3EmkqvzQ9rFss3unn0+7mRWQUOIO2j7tmfpU1rcHCGix0I4JLSAkZFqsoMsRlcUdpRzNjpSDXdLLYRPn1rG5EcBWtuJf2/EEW27AF7WsXJeyipLx+tNxFOzRVdEurCQWFPSGO98aidP53VdeT2ndtuL0+PlqRxbC2UQxvH11n+820+q85xxo16DUn91zVlCfXU/2gJupPh527LQVBy3+MSwi6MX5MTlbZx09Hx9R7bYIgCEI5z67d+DKzqh9Yyvad//oeskzxlE8wv/wSaDRQj0HhcKToaFTJyQA4lyzBl5Xd4DXUp8Olz6lZUtFKpSbNoOFqYwQ/OEp40FLIvMRkzKqGeU9SH+LeewdJ1zDhfUEQBEEQBEEQWrbm+5eRUC1fdhbFjz1QZ/vTXzQR3+GD+Paemp246oKiN+CIbYfnaHpjl9JoNAW5jXJclbb55Wr1SXHYG7gLjSAIgtC0ZG3cgbldWo3GmhJicdvKg+yWg+mkDuiBPjqyvsoLKW1YXwB8Hg8H/17doMcWqpc2tC+jnr6T/D0HcRaJzqmCIAiCIAinAkVRLIqibCj9Z2nseo4TddVOU61LEJojxeeBbVPAsrf6wTWlM0PqSDhS9w0sNWoV8owJyDMmoFZV3Tno9eu7Y3N4/UE6YNryup3MTjtxFt3u+Jtj+eXBsHbJJu46v13gOLUUEDID2Hok8DzEsXwnnW7/uyxk1qVVBF/c17fK4/cjinNJCFi2mxI+5wj5VfZ3CqagYC8LmgWG1CqGzI4fYx92tKiYRCvOo/ouEQV4mMYxFJRa1VXZr2TxD8HBogk9405qvzXlkxW+XJ1F7DOreHjGQUZ+sIWd2SXI8sl9XsdlFfu/bilR2jrZX0249jXOtcqTUSzLtM1MDwqZvRcTy5HU1kEhs5kOO/t9/hvpf49PpKOm4Z5fQRAEAdwbNqDt2KH6gYAqKQm50BKwzPn330Re/696qKx6+iGDy7pVOhctbpQa6tN4gxEAiyJz1Od/L/hcdAzt1RoyZR/PFoXu0NscRN52C8YxZ+LZtx/ZfmpOfi4IgiAIgiAIQt0RQbMWRs7LRfF6cc36g6IrLsS3c1ud7VuV1gb3vNl1tr9TjZKQjE2TiHPj1sYupVG5U2p2s3xd0cZE0X9EJ1qPqPriZFNkSEtu7BIEQRCERuZze/A6XdWO08dE0WPSuUHLLYePcd4Hz9ZHaSGpdVr63TARgP3zluF1BM9GLTQeQ2wME6e+xey7X+SDbuP5uM+FOAosjV2WIAiCILRIkiT+new/QRAEQahLijMfRVFQcjfDskfgUB1f74pIBkWGY0vrdr+VXP3WhirXD3xgKdFXzuXiV9YCcNWoViSb67ajwd5jJXS87S8+m3e4bFmBLbBD1EXDUgIe3zS2NcO7x5Y9/uGfDDrc+heHcxxly9LzHNw0ti3yjAn88sSgkMfeTDGDMZc9boOBaDTk4+FzjnCImt9QW4QXDwoqwExgCOc+2geN1+F/g3IAO2kYuJk29KLqCZ52Y2cjwRMK+lDIw42X6rvNpeMIWvbeVaO4tG9CiNF1b+JXO7h12j6c3vJgWe+3NqJ9bDk/bMwho6j6c5fH3f3bXrSPLiPh2ZVcM3UXF36+nX/2FwGQEtVwnTecGw802LHqwmtWC72yjwUtn2Q08aO9hOvyc8mu0PEmy+fjqSILAJMjIhmk0zdUqYIgCEIp19r1aLp0qXacZDQSfdcdyDk5Acu9R9OJvOF6tL161VeJYUXedCMAiteLY9asBj9+fUtUq8ve+eXJ/qBZhErFf8yxqIE/nA6mO5pfSEs/bCjR991HzpXXkDX6TLLHjUe2iomtBUEQhJavsa9ltYR/giAI4YigWQtj/+87FJ49HNsTD6IU5Nfpvn379iDFxNTpPk8VcsceFB214dl/qLFLaVSy3kC6teHemRhTEujb3ohhz3bMip2kQT2J6pBGZLtWSGp19TsIsb+INinVD6wjUlREgx1LEARBaLocBUXVjukwZhhtTx8YtHzJSx+y/cfZaIyGEFvVvYnfvklksv8mlzUfTG2QYwo1N+mn91j13lds/OIXAKxHM1n3yU+NXJUgCIIgCIIgCIIgNIADM2DB9bDqGbDWQ8jEngOyC7T111ne65Pp2yGqRmPnrM/lm0XpXPfORtLijdWO/+qB2k3W5/YqTP5wK6t3+zs+/LgkMATz2GUdAh5/uTAdWZb5YOZB0m5YwLXvbMTjU1CrKOuG5nDL2Oz+sMycdcEdvI57lX1lHx/FyWjiaIUeBzLfkM5Gqj+XBpBb2gEtHh1qAq9dxaHjBbryKJ04gziGE0saBr7iKN+Qzucc5XsyOIKT1hjoQSQDiSaJ4LDUWiyU4GUOOcwmh0I8/EUeH3CI19jH6+zjBfbwAntYhyVo+0g0QcvuHlz7a1wnwmL3MGtH+K4e1323h7Yvr0XzyDI+WRkchAJQFIWVh4q4+IvtTFmRjaxAocPHT5vymL2rkFcWHgUgObphgmaKKRHZYmuQY50sl6LQNjOdKSWh6/3FYWe1x80St4uhuVlYZJkvbcWMysnEosj01mh5LKp5XNvP9vn40V7CvYX5fBvm8xUEoX4oisLvDjvfltjI9vlY43ZhkasPQgtVc69fh7ZTx2rHafv0xnjBBUHLvXv3kn3RJaiTqu+iWpei778X41ljALDP+BNfVnadH2O/18MiZ3CQviH10frfd2z2lE+WMECn577IaACeKSokw+cNuW1TpG7Xlrj/vEfe9TfgXuufcMJ74CC2b79r5MoEQRAEQRAEQWjORNCshTE98hRSVM0uMtWW/YN3kUwi+FIbiqLg7TEEy6odyEVippj8boPI37KnwY7XrWMM2owjAJh2bKLj4Q30Kt5P75IDDOoaSYezBqGuwY33UR1b0/Ps/vQhm15KFm3PCL6Rvz64fOIEriAIggDrpvxI94nnVDkmd+d+nJbikOv2zv6nQTqLJfbqQs/LzwPgyLJ17J+3rN6PKdRcqyF9yFi9mXUf/xCwXHydBEEQBEEQBEEQhFNCt+vAlFp/+3cVwp6fQV8/oQ5ZVoi/Zj4fzz5So/EvXdOVq0a1YvUeC5sPhr8+ZTapObtfPAM6mhnQsfbXF9/4dV/I5cMeXhG0THPJbO77dDuZhf4OWGnxBnZ9PIb/u71XWczrq7+PkvqvRXyx8CAAEtARU5U1LCSPy0ilF5HIwB9k8xPHKMQTdptivPxNHgDJhO/2FIGaMSRwLonMJ49DFbqLOZEpxks6TnZiYwNWckrDaxVl4mIx+azGwhosfMJhVuAPb8mAq0JXs5nksIvAkM1wYqms7QvLeG3hEexuX9jaT5Tb66/nh405xD+3ukbbKMBdvx7gg+WZlLh8ZFrdKIq/A9r5n21j5AdbmbkzfGANQG6gUIOsDn4+m6rROVlh16mBqArTjitA3+xjPF9cxPEec++Z49A2g6nJV7tcnJWbxWNFhfzhdPC01cK9hfl8agt9vlsQhLq10u3ifksBT1stDMnJZFJ+LjcV5DV2Wc2eXGjBl52DKj6+ynGe3XuQLZaQ65SiIpx/L6774sKQTCaiH3zAf2ynk6J/v1nnx3AoMmNzs7mxMJ87ChvvdTbB6J+I4c9KncvujYxigFaHVVF4yFKIrCihNm9yom66kfw778a9cVPAcufChY1TkCAIgiAIgiAILYIImrUwqqhoot79CCmi7mZMlGLj/P0xnU5Qi5dMTSk6Pa72/bH+vQrEjE8AGJTgC2z1pd0ZAzHs2R52vSY3m+Qty+kxNPQsUtGd29L97AEM7h1PL+s+ojevQuX1oHI6abV9BX3P6IE+3lxP1ftZwwQGBEEQhFNL0eEMsjbuwBhnDjumYN8R7PmWBqspFLVOiyRJKIrCwifeadRahGCKT2bpq1OClh9dsRGfJ/yNV4IgCIIgCIIgCILQEkhqLQx5EkzJdbxnFej8nQ9wW0BdffewE7H1cDHFjqq7Kvj+uAB5xgTkGRO46LQU7vhoC/8ak4ZPDn2DbGykFovdx1+b83n79/0s+/fIoDE6TdUhlXdu7gnAvBeH1vAzge6tI/nj6cEc/XIsnVIjUKlUmCP9Xbvu+2Q72UXlN/wqwAHsYfbk50RmLrlcRipnEIcE7MTGhxziL/ICglwAWbj4jCMcw4UJNSOJq1HdPk78RuO1FbqsOan6muEvZKJUOFYvouhB4HXfLJuXZ+ceIeqplQx8Z0NZOKyidUeLeWbOIWbvDN8driJFUZj45Q6MT6wg4onlXPdd7SeOvP/3/UQ/vZLWL61B8+hy1I8sY/6emnWY+3lzPupHlvHDxtxaH7c2vMXN41q3V1HIlAODhDpgRnwi+5JbcTC1NdtT0khUhf587ouIoptW2wCVnrzLC3IprnQj/x9OB68UF5Hvq/swpSAIgbJD3Muy3tNw93W0ZCU//IimbZsqxyhFRXj372+giqqhUoHG/56s+PP/4UtPr/ND+BTQSxJaYFuYa1P7vR7aZqZzVk5WvXXXu8Dgf8++zuMms0LnMo0k8b45FpMksdLt4rNm0mXTMW9+UMgMwLVuPbKjcbvHCYIgCIIgCILQfGkauwCh7mm6difmtzmUPP8EnlXLT2pf+suvBsA1zd/5QCnIP+n6TgVKfDIlLgPu1Rsau5QmJWL/DszdO2DZdbDejqHSapA9XuJt4Wf5qyhy+wZ6nzkYl1qPR1bwuHxEGVVEb12DanP4i2im7RvpGxfHvpROFG6vnxN/OYcz6mW/giAIQvNjOVT17wTF56Mku3FnmMzauIP8vYewHMrg6HLxHqipydwQOoAvqSQUnwx1dN+Ju8ROcUY2Po8XgzmaqFZJSM1g5mRBEARBEARBEASh5ZP0sSij/w92fQuHZ4NykjeuRqRBl0mw48vSA6jBWT/X0fq2j6J9kpFDOaFvFN3y39EBf3/3ahvF/+7vzzPf7gw5/tmruvDz0mMU2vw3+M5Zn4vRoOabB/tz/XubysZ1SolgZ3roG2y9089HVRpyOWdAEqN6xbF0uz/UdN6gRG44uw2TRqRgd8okXT+fKKOGOc8PY2DnGJxuL49/tZO3fqv++ooGiSR0tMFIAlpmERxEOlQaRhtDAj2JYg45HMLBUgpYSuigVTxariWNOHTV1gBwAUl0wsQcciim/sIvBlRIBJ5LGU8iu7GFjKhtzrRzuNCFRgVnfLiVDKsbCQJicRf0iOWeka0Y2DqSXdl2RnYM7LxncXi56IsdLD/k737n9AaGfiQgDi3J6FEh4UNhJ7W/8ToJXciubxVd991uPF6Z64fUdSjUz53ePCZ51EgSd0REMqXEhhrwAc9GxdBfF9iB77XoWG635AfFIO+KrH2HwsaSqFKRK8vcFxmFT4EPS8q/RivdLiYYq+5qKAjCyQkVV30mqn46tJ6KQoV/KvMeO1b/hdSAYrPhXLAQ/fDTsP7ff+vlGJEqFfPjk/jOUcLNptATqP9e2mVsn8/LJrebMw2GOq8jVa1hiFbHWo+bWQ4Ht1b4vdlBo+W56BieKLLwVnERo/R6empr9n6xsbhWrgq9QqWCOu7Kpvh8eI8cAY8HVGrUaa1QGetnsg1BEARBEARBEBqXCJq1UOpWaUR9+g3y0cMoxVZcf/yG84dvarcTjRbtiFHYHryrbJGqbfu6LbQFkjv0wLozHdnSNE4GNSUqewld3fuwjB2KpdAOSOSs3xFyrM4cjUqnwZlT/UyLkkpF65H9SCrKQJ2diRITi+rQAajhPc2R29ZxIj0A1YUFpPbrSmH4xmknzJCaiCuzfmdtFARBEFqWoiOZdDh7OAf/WtloNWz97k+sGdmNdnyhdiJTE+l99QQ0Bn3QOkdhEYX7j5A6sBdSmJmRK1NkmXdSR+IuLilbZowz03p4f9qPGcbgyVeii4yos/oFQRAEQRAEQRAEobYkrQn6TEbpegW4bWDZA3t+APsJnM/oMgl2/wBufzgHlRZMSWA7WrdFA5IksXvKGEY+vpy1e8s7RI3uFcfi10eUPT6S6+DXFZncMb4dBp2K16aFDnLdeFYbNuwrYneG/2/4wV1iGP3ECoZ3NweM69U2dNDM8uO4spDZcf9UqKOiSJMK+y/nA7BgYw6nPbKMdXsthGm0FsSMhttpB8BRQgftFBS2UUxfoklGzw20ZjclzCeXAoK7ZaRh4DrSMKKuWRGAComeRNGTKGRkVKjYjY1lFKBHIgcPTny4T6LzGfg7p3mQ0Va49T8GLXfTnt/IJANX0Dbd31gf8LhyBbN2FjJrZ2HZ47Fdzbwyvh1jPt6Kw1N94LI1Bm6gNZoKNb1A7TueJaMnBzc6pCqfp9um7eWmn/Zy9+kpPDamDWkxujqbyMi1ve67s9SXp6LNDNfpuaHQH2AdZzTiUGR+stvZ4nFjVqkYqtPzT2IKo3PLJ+B8LdqMqYbn85qCy4wmppTY+NVhJ6NSB7O3iq0iaCYI9WycwcC9kVFsdLvpptVyrSmCzprm0RGxpXAtXUbkDddj+7qW93TVA9sPPyIXF6PY6q+TV1utlie15rDrrzNFstLlYr3HzTB9/QW8JhhNrPW4mekMDJoBXG2M4C+nkwUuJ/dZCpiZkIyhmU2qqE5NxXjRBFSm4N+jiteLZ+cu1CnJqBMTa7Xf3CuvxrWiwrVolQptt67oBgzAeO44DGPPFhNQCoIgCIIgCEILIYJmLZgkSahLg2GaXn1R9+hJyXNP1Hh77cgz8O0oT9BIsXHozjkPddfu+Pbsqutymz1FUfD2GELxkrVQT+3bWwKV10PcpuXEAbJGS0nb1pQcyfSvlCSSBvUgOVLCuGsLkseDt19bShLSyC90krtxV9BsO7G9OtFB70S3o8KJjPycGofMTlbU5tUkDuxH7oa6/Z4wpCWDCJoJgiAItbDh82mMefl+TAmxbP95Tp3PUFcTbpudkqzG7awm1EzPy8dz6dS3UOsCL9Ipsszmb6Yz9/5XcVltPJSxhKhWNZtBWlKpSOnXnSPLym9uchRY2DtrMXtnLWbFm58z4NbLGXDTpcR1blenn48gCIIgCIIgCIIg1IakjwV9LES1QUkaDGtfhsLdNd+BJgIiWoMjp3yZMQnanAU568NvdxK0GhWr3xlV5Zir39qAy+Nj5a4Clm4LPZFfUoyODikmbh3Xln+25SOjsHBjHl5ZYdmOwG1+WRE6gBdtqtlNv/szS/jqr3Rax+v5elE6q3ZbarRdRXl4qg01eYHfyCINA/HokJDoTiSdiWAJ+Syp0NWsGxFcTis0J3EhSVUauOpGJN0qTGW4lxJ+4RiuMCGqaNRYK3RD05TWXpEDmTfYx1gSOY3YsuXx6OhDNBkhOrqF00ETwUFvSdDyhXssLNxjqfF+RhIXEDJTTjBMtxV/p6oYtPQiikjUbMJKOs6Acd7Sy6wfLs/iw+VZdEs08vP13XF6ZXqlmDBqax4QDKA14toWustfU5Vd4ZrzFzYbc5x2jlZY9nlJYBBgpE7PdREnMr1m47kvMppfKoXM1Pgv9Y6rhy42giAEMkoqHhUdzBqV8+/FRFx/HdH330vxp5+jOEIH6xuCYrfjy86pfmA9SlGr+TUhqd6Pc77ByAtWCxs8brJ8PlLU5e8vJEnijZhYVuRmscfr5YHCfK6NiEQDqCQJNf7fVVpJootGi76JBasiJ9+G+dlnQk4k6dq0icLHnsSzbRuRt9xM7Msv1mrfur59A4Nmsoxn5y48O3dR8v0PaHv3JuKqKzFdNAF1QsLJfiqCIAiCIAiCIDQiETQ7hRgmXoHv0EGc//ukRuON19+C/aP3yx5runZHkiQinnkJx4fv41m9op4qbX4UvQFXcjfsi1c3dinNisrroXXvVDJ1WhLbJRKbeQDNoQ3lAyTQZhzBnHEEM9CuSwLFbbtiKXLhspaQ2tpM9ObVSCc5O+TJkFBobz2CemhvSnItOPIK8RaXoDYaiOnUGsvuQ8ieypcJqyebRGt5QRAEoZYUhb+feZ/oNqn0v2Eim776rcFLiEpLJmdb7WczFhpW5/GjuOyHd1GVXjRTFIUt3/7BsXXbOLBgOXm7DpSNddvstdp329FDAoJmFZXk5LPstSkse20KpoRYErp35IIpL5LUq8uJfzKCIAiCIAiCIAiCcJIkfQzKkGdh6UOBwbGqdLwYCitNQBfTCcncFaXnzXB4HpRk1H2x1UjPc3A0z8mG/dawY1onGJgy5xB3fbyt3us586kVZOQHduCKj9KSGGNgV3pxnR9vLyXEUx6C0yBxFgmcRcPc5NqFCB6kI8soYAvWgFBZDyLJqhyoCrMfL7AWS0DQDKAPUVjwYMHDbkqqvTrm8Nb++lRlY0kICNMBSEj0IJKd1LzbiQaJOLQYUDMMM73wdw5RIZGDGxkFb5jPaHeug37vbPQfW4KZt/RifPfYkGOrIhuSgeYVNPuipPz75FN79c/3d3HBr3W3orDF4+Z4PK2rRou5CXU8i1SpeDAymqetlrJlO1PSUAG6JnbjviAIQn0p+WYqUnQ0htGj8Ow/gHffvkapQ52aCt7gbrAtUbJazUCtjvUeN/OcDm6oFNSOKA2UAcx2OZntcgbvBDhdp+e7uARUTeR3VtSdd2B+9umyx4qi4Jg7F9eatbg3bsK9Zm35upLgCQmqox95OsVTwt936Nm2Dcsz27A8+xyqhAS03boR++rLaLt0rvWxBEEQBEEQBEFoXCJodoox3fswvt278Cz/p8px+osuRdN/IN5tm8uWqXv3BUA7YDDq19+l8OzhjdIpo6lRElKx2TV41myofrAQxLxxBbESYKn+pnRNQR6xBXnll9Xy67OymlNbCmhvKZ0NUw9yjBFF40OdtQ3n4F5s23IMb0ntZp1yek6Nk3eCIAhC3bMezWyUkBmA02LlwAIxGUFTFpmSyCVfvxEQMvv+gtvZN2dJ0FhJpUIXFVE2Tiq9SJa3+wDL3/iMI8s2EJmSQGRKAlFpycR1boc9r7BGddjzCjmybD2fDrqUMS/dx/CHbkKlEX+eCoIgCC2HpJKQVE3jBpPmSDx3giAIQkOT9DEoQ5+FFU+Ap5obLmM6Q6dLYOO7FXaggZhO/g87TUTRxcCm92pVg6IofDjrEPd9uh2AXR+fSde02nUmWvX26aTd+FeVYzbut/LYlztqtd/a6nTbIg5mB09eIwF6jbYsZNaNCPoTw+9kUR6DqZoaiW5EsCNEyGkBebiRGUFsQAeuhmRAzVgSGUEch3EQh5Z4dGiQyMHFYvJD1l5ZPsHXiSLQMB5/h48MnBzFgR0vBXjwouBExo6PHNwAxKEhBg3HcKIAtgrBt1Di0XIvHWr0eV5JK3woZOKkBB8HsLOPEsxoseFFg4oI1CSg4xwSkMJ0kBtIDAPxd9L5mWPVPjeKAhd8vp2PLuvE5OGpNar1OJ+7eXXHcioKe0OEBf9KSGav18PdloKAr2hvjbbs/F1F91oKmOMsv06ZolKzMikFdRO5IR5gkskUEDQzNKHaBEEQGopiteKYN79Ra1DFmin+4stGraEhnWswst7jZm6IoNmwnEysle6J66zRICvgQ8GjwDHZx3K3i6n2Eq5vAh1F9aePIObJx8seK4pC/m2TccyeE3K8ymwuG1fxPYRr7TqKp3yCZ/ce1IkJqBISUCcno2nbpubFKApybi6u3Fyyxo0n+r57iL7rTiS9/oQ+N0EQBEEIR1yPOzniuRMEoSriTr5TjKTREPXOfym64Up8u0PP2KYZchoRL7yGnJcDTv+MLJq+AzDecGvZGFViEuh04HKF3MepQDFE4GvXHduGncjFdT/r4qmiJV4nUFW4WGPYu51e/XuzeXntZpwqyrPUcVWCIAiCUP9WvPUFilyzm4KExnHGC/cQkRRf9tianhUyZAZw+uO3EZWaRM72vfx48V20GzWYnO17ObZuW9mEEwV7D51UPT6Xm4WPv83GL37BGGcmsVdnzvvvs2iNzevGH0EQBEEQBEEQBKH5k6Lbowx9HlY+A7I79KCINBj2ApLGiFJyzL9MbYQ+tyPpKtxcGpFSq2P/d+ZB7i8NmB3X/c7F2Kadh0mvDrNVMI9XQSWBXMU8kQpgc574+ZvEaF2V639bcSxkyOz4sY8V2lEB55LIUMxISJhpzVQyKKkmCAX+G3vDhZF8KCwinzVYeIAOjRY2AzChpkelTmBJ6LmCVmynmF/JJBI1iejYT/BkhZFU/XVPw0AyOl4h+PpTNyLQoWI4sbTCf47FiY/POUpBiEifVLrN+STX6nNUI9EaY+kxT/7m6ohqPueKnp5zlEt7x5MYVfXrsSJPbvOZ5HGLx82tBfllX6s2ajVHff7vj5esFjppNEHfLTu8HjJ9Xn532ElVqZloisCjKAEhM4As2YdLUTA1oYu0RknFn/FJXJifw7LE2v38FARBEOpOyTdTUZyhO3e1ROMNRl4rLmKV24VFljGrVCiKwi+OEiwVQmbdNVp+iU8kulJH0C9LbDxvtfB6cRFn6Q20buQJFePefhOpQg1ydnbYkJk6LY2oe+4GoOj1N3Au/gdtzx64167Fe/BQ2TjvgQMnX5jLhfWtdyj54SfUSYmo4uKJfel5NO3bn/y+BUEQBEEQBEGoNyJodgqSIiKJ+vALrP+ahJx5LGCdZuBgoj/4DEmrQ52aRszvc5FzstEOHxkwe4l7xdJTMmSmSBJKx564vRocm7ajHFrT2CUJzYBh1zYMSa1w5hTUaLykUpF7OKOeqxIEQRCEuud1nDoXn5orXaQp4LE1PSvkuFaDe3PmC/dgy87j+wsmU3Q4g8L9R+qtrvw9hwBIX7UJT4mDS79/J+QMzIIgCIIgCIIgCIJQn6S4HihDnoK1r4JcKZQS3R5OexlJ7+++xIg3IG8jJA5A0paHbBRFgcyVNT5m59sXcSArdDAr8vI5yDMmVLsPt0fG45X5bP7RKkNmdeFfY9KqXP/I/6rvljaOBPSokAE1EI+OK0jlS9LDbjOaWJZQs07qNnysxsLpxNVofEPrRRRdiECDRC4uPib4nIsNH3m4SSB8kMpKcLcrgN34u/KNrPD5G1BzD+0BkFHwIqNChRrCdhtraGNIIAU9XhTWU1TWmS2UQrubVi+t4dlz2pIcpeXyfgnEmbRV7t+1L7euS64XDkXmxvxc8hSFZJWKV2Ni6aPRMizXfx7vH7eLf9zB1+nbq9RckJdDnixjxH9TfLhnsClOFdZPp+NIauvGLkMQWgyXorDG7aKbRkuSuuZBXuHU1lAhM0VRWFr6u2y0vvEmHmyv0dBNo2G318tCpwOPovB4hQ6bAO3UauYnhg7j32CK4E+HnXUeN08UFfJtXEKjXtuSjMaAx96MY6EHajTET/kIdVwsxZ99TvEHHwLg2batXuvzpafjS/e/38/ZvZvkP6ejTkqq12MKgiAIgiAIgnDiRNDsFKVOTiFm2izsb7+Ka/ovZcuNt96FZIpAURR8u3bg3bEN7aAhAX8I+zLSKb73tsYou9EoqW3xRCXh2LEP3/ItjV2O0MxIEnTtlsgOuxOvLfTF4oqMbVLwHg5zwkcQBEEQBOEERSTF02PiOQHLijOyg8YZzNFc+t3bKAr8NPEeiho4AL/tx1lojHrO/+A5tCZj9RsIgiAIgiAIgiAIQh2SkgahnPEBbP0Y8jaVr+h8OZLeDIBiz4GCHaA1gSYicAcH/4QD02t0LK9PDhsyqymvT+bc51eRbXGxK72kyrES/q5iJ+PtW3qFXbftsJVDOeFvUO6IkX7E8AdZyMAmrJxDAj9wDBs+EtGSS+iuU6FCZlGoKQ7TBW0BeXTERCpNs2u6rrTb2nqsYccspYCJhO/uVN3X8mMOA/AcXVBVCJOpkNDVontYQzGhZhBmAAYSwzxy2UsJbmQcyGX96Y6HpGQFXpzvD+ltOVZCarSOz1dnkxql5fMru9ArJQJZVlCAX7bkUbTkIBc0kVBdVT612cgr7aIyTm+gvVrDTYV5QeMmGkw4Ke9YliH7OB4/cwC/OOw8EBVNhCRRUqEry79MEUSqGq/bnyAIdU9RFH5y2FnmctJbq2OP18MvDv/7i+4aLX8mJKEXE7sJTchil5MbCvMB+MAcx0VGUzVb1J/xBiO7bcX8x2blsK/8faUEDNBqmRqXGHZblSTxljmW8bnZLHG7mOawc4UpIuz4+mS65OKg0JbvWOj7jswvPI9+0EDsf87E8vyLDVFeEN/Ro+RMupL4jz9E16tno9QgCIIgCIIgCELVRNDsFKaKiSHy5TfRnXchJS89g1xYgGbwUFzzZuP8+jO8Wzf7B2q0GG+8FePke5EMBtxz/gR3+BnkWgol2oyvVWecGbm4Nx4ADjZ2SUIzZtq5mX6d23HM0InMVVurHKtLTgARNBMEQRAEoY4Nvfc6tCYjLqsNe14hsR3bBHQ0i0pLZth9/6LPNRcS3TqFWXe/SPrKjY1S66Yvf+PY2m1M+vl9Ent0apQaBEEQBEEQBEEQhFOXFNkK5bSXIHMZbP8C3FZIGoSSswEOzYTsdZTFfGK7o/S6DSm2q7+b2eG5NT6OXE1boUuHhw8ZHefxKvyzrYDUWH21Y88ZkMD8jcGBlZOxJ8PGD4uzmPp3NvtzgsNgEagoKY0GpaDnd8rPRRzCwWccLXscLmQWTriQ2XGfcISn6FwW6mqK1mAJubw3UQwmplb7Og0zR3GSQWDY7yMOl3Uzay60qJhAefeQ/ZTwLeEnQ5qysvx1ddTiou/bG7l+cBI/bMzF4/N/r6qAcSlpaJt42GJthW5l3zrsfOsIDqPGSRJPR8eQqFJxp6WA2U4HlXuctddoiFKpeN8cxz8uJ/OcDm4yRXJPVHSd1lso+3jRWsQejwcXCvMTklE38edYEFqa923FvGfzB5dnlIZPj9vl9VTRG1MQGkfFO84WOB2NGjQ712DkP7bigJAZwPLEFFprqr+tspNGy0NRMbxeXMRLVguj9QZSGqGLYPQD9wHgy/K/J1KnpAQEzaTISCKuvZqISy5G168f7i1bKLj/wQavsyLvvn1kX3AhMY8/StTk25FEEF4QBEEQBEEQmhTxDl1AN2IU5pl/Yf5jHs4vPsH2yD3lITMArwfnrz+hlJ6Qcs2f00iV1j9Fo8XXtT/21F4U7rdgXbwa994DjV2W0EJo0w/TOu+Av8VZFWRD9ReDBUEQBEEQakOt1zFo8lV4nS6mnnsLaz6YCoClNNw+4NbLuXvnbIbddz3RrVPY/M101n30fWOWTM62PXw66FJm3/syu2f8ReGBo5TkFrBv7hKUMHfibZ82h2lX3M/nwy4nZ/veBq5YEARBEARBEARBaEkkSUJqNQrO/gLGTIGjf8Hq5yF7LQG9pAp3QV7pdbXiQ2A7Gmp3Iem0Kq47My1o+ek9YnH8eh6/PDm42n0Y9WrWvTeS4d3NVY47rZuZP54ewrCuVY+rik7jv75xOMfOG9P20/vOlXS/czEv/rSL/TmFqICumDifJB6iAzfThhHE0YNIriCVROrv+sdo4niEjkHLf6winNQUXFQhTFXRJFJpQ9Wd3s1oaVXhOV2FJShkBpDUAiIGP5NZ622+WZdTFjIDfye0+g6ZlcgyzxVZaJuZzv2FBRTIVYchQ7nWFFntmOkJySSp1UiSxJTY+LKbPi43mjCXfo5PWy3cUpDHEK2OqfYScmWZN23hO+idiFetFvplZ/Kbw842r4e9Xi+/hQjGCYJQf+Y5HWUhs1BeiI5BEuFPoYk5Q2/g6agYrjVF8K45rlFr6aXR0rpSMMwsSTUKmR13W0QkfbVarIrCM0WF/sknGpDhnLFou3bFe/QoWeMvwD7bP/GF94j/7xLjeeNJXboY8+OPoe3bF19WFnk33oziDN+JuMG43RS9/CrZ4y+g+Isvca5ahS8/H8/BgzhXrgy7mWvjRgoeeoTsCy/G+uHHYa8bCoIgCIIgCIJw4kRHMwEASaNBFW3G+eO3Qeu0I88g4oXXUZlj8R09gm/ntkaosP4oioLSvjseTQSOzTuRl6xv7JKEFszWrivsq7oziNNduxk7BUEQBEEQqtNu1GAiEuNY+vonpK/aROsRAwAoOnyMQZOv5Nz3nmLquJspzszlmlmfMPOO5xu5Yj+vw8naD6aytjQYd9x5HzxH90vG4iiwoDUaiOvcDvB/nr9f9yg+t4eP+1xI/xsmcs5bj2JKqP8Llfl7DpKxdiu6CBPGuBiMcTFEpSVjMEeLC/mCIAiCIAiCIAjNmKRSo+hjYf+vwSv1cdBnMlLqCP/jjH9qvf9vHhrANw8NwFcaiJEkUKlq93fkwE5mrhqdxm8rs8vrJiAOh9Mt89WidPZnlgRsq5JAruG9sDqNikH3rWHjoZyQ62XAg8JQzMwnlxWUdzgbRRytMOBDYSaht6+s8ucQbsylpNAHf5emf5EW0PnqAA6+J52rSUOi6f19PpAYsnCyhqIKy2rWcUqNxG20xYKXozg4UvovJ6BPCKRhqNOaG0NnIthOMQC9iWQbtqAxt5+WwlldzFz17a6Q+3g0sm47eYVyt6WARS7/Tdu/O+1012q5MzKqbP0xn5edHg9GSWKoTs92j4dEtYpW6vLbNsYZwn+9uqrVfBqXQPsKN78risLxW6unVQp5LXA5GZJT+5BeTTgVhU9Kgr8O0xwlXG6KqPF+cn0+4lQq0QVNEE5Avs/H00X+37U3miK4JzKauU4Hz1gtZWPG6asOLQtCKFNsxXxZYkMtQaxKxUvRZgbp6m7CAIMkMbnC78fGJEkS5xqMfFHhd5pFUZhckMcncQk12odGkng7Jo4L8rKZ73LyZwN3aTNddCEABY88jpyTw/G3vN6j6Zguvoi4jz4g/867cc6fT/KC+RQ89Ai+rOwq9tjwPNu2YdkWfD9iwnffoO3SFbnYiqTVoe3cCQBdz55Y9uzBvWEj7vUbsE2divm5ZzCOH99g1+R8WVm4Vq0GjQZVdDSqmGhU8Qmok5OQtNoGqUEQBEEQBEEQ6pMImgllXHP/RCmylD2WIiIxPfY0+olXlP0R5lm1vJGqq3tKYireuNY49hzCu3pHY5cjnAJ8MbHsW1t9Zw1LXmG1YwRBEARBEGojdVAvANJX+gPvWqP/gmDRkWMU7j/Cb9c8zJFl6+l/82VMv/5xvI4mMIthFZa++jFz7nmp7HHqwF50Gj8Kc/s0fMdD+4rCpq9+Y8/Mv7nkmzfoct4ZdXZ8n8dD7vZ9ZG/djSPfwv55y9g3bxmEmKVSFxWBuV0acV3aEdelHfFd2pPSvzutBveps3oEQRCEpkeSQFJVP04ITdxjKgiCIDQ5x5aCsyBwWbvx0OMGJG2F7kM5Jz6ZoVp94r8A861u7vt0e8Cyvu2j2HzIH8zplGJi3XsjSbxuAYW2wMnuahoyA7A5fWUhs/YY6U0U88jFUyEOdhgH+yjBijdg200U0QoDgzGzliKycVV7vON77UsUbTAyq1JALRYtl5FC6wqdvzoRQV+i2FIaSgLYg53t2OhN07ihubLzSWYIsSwln3YYGYS5xttKSMSiJRYtfUsDag58pOPkKA5K8JUtb860FUKC2biJQUNRhdfYlEmduO20VAC+XhvLnF2B19q6x0Vzt7b6TmEVbXC7WOV2keHzcWtEJB00Vd8w7FaUspDZcbs85d9vL1stfFZ6E3ukJGGrdB7pSGprANSSxOk6Pcvdwd8je3w+OlaqY0pJcdC4iupressD3tB7XuV2h1weynyng1sL8wH4rzmOixvwpnxBaAnmuRzklHbx2eRxMzhEsDShUqcmQaiJ14rLA/DpPh9/OOx1GjRrasbrA4NmAPNdtbtO1l2r5Z7IaN6zWXnOauF0nZ74Bvr+0w0YgKIouNeuBUAqDa17jx4Bn0zBgw/hmPEnukEDsX3+Rdm45qDwkcfxZZb/bNN06YJhzBno+vbFl13+t4Hv8BHyb7kdw5gzifu//6COr9sJKBWnE8/u3Xj27EUusuJauRLHwr/AE+L9kEqFOikRdVprNO3boWnXDk2H9uj69kHbpUud1iUIgiCI63EnS1yPEwShKiJoJpTxHTxQ9rG6Ry+i3p+CulVawBjPhubzx2YoSkQ0vjZdcWYV4N66F0hv7JKEU0hWWnc8+6vuZiapVOQezqhyjCAIgiAIQm21GtwbgLRh/djz59+YEmJRFIXCA+k4C4vI3rIbgF2/LcBpsTZmqTViy8wNeJy5YTuZG7aHHGvPK2T9lB9J7NEJc3v/DTuyzweAqsJFPkVR2PD5NGyZOXhdHnxuNz63B5/L/39PiQOnpRh7fiG52/fhdVZ/QxyAu7iEnG17yNm2J2B5lwvOZNzbj5HQvVONP29BEARBEARBEAShkRQfKf9YFwODn0SK7xUwRHEVgfVQw9ZV6olvdpJVGPh36vGQGcDw7rHICnRNi2D1bku1+3vm8s68Mm1f0PLWGOhNFD2JIrr0MvN88gCFLkSwlxJkYCoZtCOwg8oaiuhNNG0x0hpDjYJmx22hGH2IbmSFeEgm8KbnIjxBHb0AfiGTLkSgp2nefZSIjktJRQnTw01BqXFHNiNquhBBF2reVaqpM1Mersqt9PUd2SGqLGS2Ib04KGQGsKvAytZ4A/10uhodb63bxWX55eefcn0+Pq2mq8kxrzdo2SGfl0LZxx6PtyxkBgSFzMDfIcxQeofX41ExXJQfuvPfRreLARVu9v/eXt6lUA34KozVQEDks3c1YbnaGJ8XWN9bMbE8WtpZabXbxbAaBBLWVgjT3Wsp4JDXy/1RzT8YKQgNpZ9Whwp/R9FNpWGHrhoNbdQaemu13B4RVfZzRRBqY5BWx3pP+e/b4N9wLcvgEO8PHj6BTqh3R0Yxx+lgl9fD81YLH8TG10V5VVKZY9B0aI8kSegGD8K1bDnq+HgUWcZ3+AiK04l3n/99vWffftzrN9R7TXWpYsgMwLt3L7a94Sf4di5Ziv3PP4mYdBmqSP8kA4rHA2o1kirw7wDHwr9wb9sGbg+Kx4PicZd/7Haj2GzIVityfj6effshxHu9kGQZX1Y2vqxs3OsDJyIxXjiBmMcfQ9uxQ832JQiCIAiCIAiNSATNhDJKhZPQklYXFDID8G6pOiTTFClqDUrHnrgcCo5N22D/6sYuSTgFuTp35+iS6r9/TG1T8R0SQTNBEARBEOpWUm//DHlpQ/sCEN+tA9mbd+EsLAoY1xxCZidi94xF7J6xiJi2rYhMTaQ4I5uS3AKSeneh+yVjGXbf9eybu4SZtz/bYDXtnbWY/fOWccbzdzP6mbsa7LiCIAiCIAiCIAjCCfA5KnzsgpgQk4YU7mq4eirZdKDqv+enLs5g6uLqrz2kxZm4sFsfps7YWbZMDSSj5xgu4tHSmygiK1xi1iDhBvZSErCvUIGp3dhoi5GeRLKeoqD1x51GLKsIDAutxUp7jBzCEbB8E1aGlHYAy8XFt2QEdVM7bg45XEJK2OM2tnQcTCWDvkRzPkkAyCh8yVGO4u+q8TSd0TbRsFx9Gk0cHTHhRUECNlDEVoqJNar546aeZeM6xhnD7iNKVfOwxeFKNxKv9VTfpcse4jXfR6OlX3b5DdK9NFp+iU8kW/axw+PBC9xnKSg7ZjetPwjWX6djU3Lq/7N33/Ft1Pcfx1932sO2vJ04OwQS9t67bCizzEIp41egtLRQSgejlLZQKGW3QFktexVK2HsTkhCy93YS76G9dff7Q7IsWbItO3bshM/z8eBBJN2dvjot2/d935s3QyH+Fwpm3f/yeDwdNPs4HGJ96oRKfyl2sTAW5flQML1sHChWFLypYNsVzqFp9TvJauNsu4MH/F7WJxLM7iNotiwWo0NLMM6QPV1lM4odhfhO2slk5pPKGj6JhFkRj7Gv2cKp0gwoBsHDpeUc3dJEh55szNvNVFhQe2tlUBRsikIo9X25sHo0JWr/f94yKwp/Kynl+23NTA+HOCMc4ghrzz+bDAbTtGkoqUCpJRU0M07Zjujs2ejh7FY23dPzz9/bjEQC9+9vwP2HP2IcOwa1vIL4qlXooRDG7adgO+oonBf9mERTE60XX1p4eGyQhF5/g9Db71D008sp+c116edOCCGEEEKIkUiCZiJND3b90TmxdjW6rmf9QqOHw2gbNwzH0PpN13UYvz1RUxGhRcvRPt/6AnJi26ErKmtyT56Yl6mqHCRoJoQQQohBVlRbDUDj3CXsftHpjD90H54/5bsXbvLU1eOpq09fbpizmIY5i1n2vw84/v4tFzLrpMXjfHzjvYTdPo78y9UYLdv2wVohhBBCCCGE2GrFM4NmYQi1QNHY7GWGqc2soT3MnFWbP2m03GhjU3uQh2Zkn7BRA+pT7WPz8bEUP06MxNGJo2PIWNaFkdFYWEKAydipI3ty6xqSxyKr6P333yga1zCRu1ibdf06QkzGzmq6jmm+STN7UUIEjSfYSDCjz6kaS1Zz2jy8HEgpVfTdtDQcZtBBGI1ZuKnExD6Usp5QOmQG8CQbuYRxg37fUTQMKBgKbE3b0lQUxqVa8pqIsET1gwb/OmsKLruJQCSBxajishspsqj4IsmJ8UduV8JHqzxYURhvKHxqRHG3yeWKDoc0N3CXq4x9eghQ1ebZ/uFWK0+GukKYk41GHKrKJFVlktHEzzra0reVdrvPMtXABQ4nFziSbRx/8bp5OODnnXCI46w2Xg4GuMXX9d6/3uvOuf9JBiNvVVQxKxrFo2ucOIiT3Xc0mlgSTzYodQZbDjRbWR8KsDDVrJTPS8EAv/JkHzg90GzmQnsRx9uGdjK+2HpFdJ0pjV3H0D+urGbyIDb0bc0mGI382OgclG1NDwX5mbudU6w29jVbMChQrKgcY7VhljDEd0qVwcC86lEsisdQgJ23UNBM13VWxOPE0NEAdQvedyijbTR/v2xhfpvxHfdRJDzkQTPD6NHpf0cXLabkd7/BUFND22XfvWOAWWIx4mvWwpqu3ydiCxYSW7CQ4CuvUP7wQ6ilpWgtLb1sZIjE4/jue4BEYxOlt9yMWixtrkIIIYQQYmT67p3uTPRIdZUCoJSVY7v4JzlnzUisXQ2aNhxD6xcdiE7Zm45Zywh8ORvNs222Moith2e3/fAsX1fQspp1ZB7cFEIIIcTWbfW7X5CIxehYs4ETH7yZ96/7G2s/nDHcwxoxGuYs5svbH0ExGPpeeAjM+PvjPLrfmWyavWBY7l8IIYQQQgghRB/MxYACRgeMOQKctbnL+NZv8WEB3Pbyqpzr9plS0u/ttMWzm8JOI3nSmu4TbaPotBPDS5wgCXwk0gecLSgsSTWbWTBg7hZaaiBCkETeybudv5HbUdlEKB0ys2Yczi7DxCl5GskW4iWKltOi1kSE/VNtZ53epjlv29pwi6KxHH/68pu0MA8P88k+ztlEZFDGPx8vT7KBh1nH49RxK6v4EysJZQT1RiINnbfNrSQ0nVN3LufUncopvWEGxdfPwPKbL3lraTun7lyeXn5SuRWAqSYjhn6EJI62WLMut+oa6xMJrnX3fGbJElXlIntX2MOKwuEWK3tkTJCfHg4lT5hKcjL9u+Hk+24vk5nKPppTOoNsH0XC7NvUkBUy68maRJznQgEOsVg4xWZHHcSgSHnGeI9K7a/O1+bCXhrgHg/4c64bZzDlhMzmR6MsLqBJTgzcyliM41qa+IPHTWCEzwP5dar5r9MRLU34RviYt0Y/S+3n18Ihrve6+a3HzU/d7bwcCvSxptgWKYrCLibzFgl6tSUS3OPzclJbM0e3NnFCazMntTZzQmszs6ORvjcwCDLD2Ls21bN3Yz17N9XzF4+74G00JRIsjneFrX/iGJom0UyxlSuJrVxFfMMGzDvvhPPHF9L+058RW7RoyO97axVft572a65FLen/70yDKfjiSzQe8T2Cb76FLt9pQgghhBBiBJKgmUhz/OZGSr+aR+nHM7Fdmntmk+h7bw3DqPpH13UiE3Yn8MWs4R6KEAAkXGWsnrWi4OVDUTlgIoQQQojB99KZv2DVO5+z56Vn8dTRF/PNP58d7iGNOMtf+xA9MXyTqZrmL+PRfc/k+VOuoHHe0mEbhxBCCCGEEEKIXMpOl8Jxz8Oxz6DscQ2Kkn2IVY94oOXbLT6uSCzBA2+sy7l+9sr+NZxNxZFzXbQfYabOaZFNdE2sXUWAY6nMWXYO7rxRJkvqsHUIjSa6jpWEU1s3olCFmS9oZ/tu432VJu5mLSdTzXmMzrrta9xZl9cSYjG5QZfh9gXtxLtdN50m5nULmkXRuYWVxDcjbDaDDl6lkTWEaCCa1Ty3DD/L8LOWYKq1bmRNep2Dh3XRAEUWA386bjym677EG+56Rd30znrGurpO6vjyglYAphn7N0leURTsqVBWVcb7vbyPMNgfS1x8XFnNNc5iwuhMatzE3G5hqc7neUU8nu7be6KsIucksN05Mm4PozPNaOJPxS5cGYHOu0pKc8fk9fCDthZW9tIyNhDtGROiP4mE0XU93XB2fC/tLRsS3V/p8KcSF25N4zfuDsY1bOSPHjffb2vm+NZmvDLxesg8EfSzJB7jiaCfM9qGodGlHz6N5AZNdmqqpz7P60kMTG/7cm1c9rMYOs2JBMe1NnGX35u3EbN5Cx23ua2kNKtzt1nXaNY0Hg76ObqlkRmRcI/rdqpSVQ5ONZ+ONRhy2kqHQmzBQppPOwNd17EediiNxxxH6N33hvx+t3axxYuJr8o9YceWlmhopO3/LqPpqGMIvPIqunzeCiGEEEKIEUSCZiKLWlSMkucX3fiKZYQee2gYRtQ/8an7Evx6znAPQ4i0xlE7EPMWfoYvd0vPZ0IUQgghhBioQ66/HNeEWl447UrqPv9muIcjerF8+kc8vMepvHTmVXg3NQ33cIQQQgghhBBCpCgmO4raQxP2/PsgtuXbPp78aOOgbGcZuWN/k+bN2uYqglRgyrn+U9ppJJRzfTAVaNIBBbiYsVzJeHahCBMKcXSWEWAWblbkGS/ACzRQjYUrGc+OOPMuA/AOzURGWIBqEb6sy+cymtFY8y6rA80MrN1jAV7epedAyWs08Tz1/IeN/IWV/JlVbKLvidVbgo84H5uSx9H+dNx4drkzN9y5sCHIKwvb0pcPnFAMwDRT7muxL0urR/NlZQ2vV1alr1se7zusNclg5C6/N+9tOxqNmFKBsVhGWPDtcO57oruTbDaKFYWDzBb+W17JOxVVXOhw8k3NaD6sqGZtTS3bZzzOm4tL+EuxC6eiMCcW5fjWJu7zeYnrg9Po96cSV/rfP3e383IoyIJYDAtwWS8NLidY7VmXj7FYiek6P2xv4blUa9Jjwa4w6GP+7PeGGDzfZJwAdUk8hjuR4PKONi5ubyU8SK+TweJU8wcx929uZFzD4HwXbgkrYzFOaW1m3QgMEnwV7vmz3qHI1DIxdN4Lh2jqIVRcpqoc20t4eTC5VJXlNbXcXlLKebbskxosj8c5u72VQ5sbaOrl/asoCn93JUPfGxIJXg0Fh3TMAEpREZXPPk3ky69oPvs8Euvrhvw+xeCLLVtO+8+uouGQwwhOfz3dgCuEEEIIIcRwkr8GiIJEP3gHRvgvMfGpe+H79OvhHoYQaeHtprHh87kFL68YDLSsrx/CEQkhhBDiu2i3C0/jiFt+wfRLrse7sXG4hyMKtOTld/nnjicw55EXSQzyGaeFEEIIIYQQQgwePeqH5uE5qctXS7NPXmc1K5y4d1UPSw+uM6lhT5Ihnmos7E1JzjIv0pBzXRydD2nNu01rqplJBx5nAw+yntUEmYydY6jgWCo5kNzGpkxf0kElFk6kOt3zVIIxaxk/CeryhN3yiaAxGzcNQxy2mpYRjLOhsgNOTqUaI/nDFU1EmIeHWbiJodFEhMfZwPJe2trCJIj1I2DXeWT4vzQQRaORCPWEqSc8LEG994xtBGMxplbZ+OVra/IuE9d0aoq6+kgWNSQneA8kaKYoCmONRkYZjEw0JF9D+5ktfawFl7vbe7zNqqiEdI1L21s5obUrzDkzEmFeNNrjegA2RWVRTS3PlVeyj9mSbkAzKwpTTCZU4KSMbV7sKOICh5MPKqs50mIlCtzp9/J7z+Cc9HJvs4W/pxrUfLrOr1LbvcDhpMrQQygXuMNVyivllfyhuIR7XWU8WlbBHb7cFpuTLMmg5ZOhwKCF40S2XxUVZ12eG4sS13U+iIT51wgL+D1UWs5Bvbz/AlqCq93tjGvYyOuhINoIec3ouk5DIs6/A37Oamvme61NzI1FObRl5P2d/hqvO+uyEbipqIR/l5bzC2fP4VEhNtdJNjt7mnKbR18qr+TbqlEY+2j8HEwGReFcu4Nw6qegk6w2xmZ8p61LJNinpZHfe9ppyNMCmNB1bvYmm4WLFYVDLPlPGjBYFJuNyqf+g2Kz0XHdb6GPnyXEyJdYX0fb5T+l9bzzia1cOdzDEUIIIYQQ33HGvhcRAuKLFw73EHqlF5fi+3rBcA9DiDRdUVnb1r+DbPbxo9DWbD1nXBNCCCHEyLfzuSfx/Uf+xPynXqN+9sj+mV7kinj9vPGTG/n4xnvZ7cJTOfi3P8FWmjtxTwghxMijKMn/xMDIvhNCCLFV8awEfehCN00dEe6ZvoZzDq1lt4nF6LpOkztCtcuCy9kVnrGZVfberoQ3v9m8JrJCfUw7u5KceN5EhKY8DVuBHsJIreROzHVh5AomcBurgOTZUjUgSIJlBFhJkCk4MPcQvOrUkhpHHC0dlPJk3F8RBvbGxQR6b8fQ0ZmLh7doIY6OBZVfMhEbPQdoNsfRVHIY5SzCy0SSjU8VWDiTUTxH10kKFWBnimghylckgz1f08F4bNQRoo4Q51PLdnQ1cejo/JHkRFUjCmYUohQewjCi8CqNLM0IsbkwchUTUft4PgbLfLwsjHswqLCsOTskGLvjIKIJHcfvvgLgk9XJCd6KAnXu5OthqjE3aNaYahp5MxykUjVwpMXKsngMj6Zxc7GLioyJ5W9UVLE0Hss7ET6TT9Oy2smeLavgYIuV/ZrqadA0vo1F2aEx+6STFYrKK+Egr4SDXOZw8vuiknSIrD9Ob+tqqnNltA+NNhh5orSc8Y2bAHg+FOQOV1m/t5/PmXYH44xG/ur1MCcWpVhRuLyXNrNOe5st7J0RGloSz54Yf4zFyhuRZLizTdM4v72V58srB2XMosuxVhvfVI3iL14Pd7lKiQF3+72MNRjY39J3qHIwdcTj7JYKX/3SWcQ1Rdl/A93FZOa58kqeDvj5fbdAFMCP29uYGUu+jq50t7O+qJifOYtzltuSlsSiXNDeSksPTU0HNDfwQUU1DnVknh88DnwRjTDeaBzQZ5IQhXKpKs+XV/KI38dn0TA3FrvYyWjCMIyvO1/qfRvVdd6oqKIIhQs62vgymvy54ulgkKeDQcYYDGxnNFKjGrEqCvNiEebFYpiBR0rLmWAcummZanUV5ffcjXn33Wi54MeQSAzZfYktL/zpZzQediTmPffAcd55OM4+E6WXIL8QQnyXyfG4zSP7TgjRGwmaiV7puk74sYeIffbxcA+lR7quE3GNQ1/x7XAPRYg0z2774/mgf69JU2U5SNBMCCGEEINEUVXOePbvLH7pbaZfcv1wD0dshkBTK1/d8SgLnnyNEx+6mamnHDXcQxJCCCGEEEIIAeie1TDvviHb/szlHRzw6y8BuP2/q9Gmn8SZf53DKzNym1BCUY3Pl2xeU5EVJd3g0BsjcDBlBPIExjqVYmIKDubiIVbANt3E0yEzgHMZTRUW3MT4lHbWEGRZL21dXWNLTtgvwshoLDQTZTvsTKWI7XFgLzAo9hntfExb+nIEjU9o43j63xgXTDWoTcaOiZ4DBWZU9sSVdZ0BBQPQOXV4Kg5OoYZ5eNLLtBNjDF2NGQrJcJmSCoGty2hvi/cjYNbJjkpzKsBnQyWEhps4CfQtEjSLoPG60gQ6nLpTOf9d2PW8uP+8P6qqYFUV7j55IldPX5u+rbPQaIzBQElGkOMmj5t/B7u/lmJ8GOlqrduYSPC/iq7nukhV2beANjOAIkXBp+v81FFEWNfZu6me5h6CJve7yvBpWjo483DAz84mM6fY7AXdV6Y5sa6w1vzqUVm3rc1oXTlqkNtV9jNbeLWiirXxGBZF6bXNrCc3Frk4ra2ZIy1WLncW8UkkzHsZz8fufQT8xMBVGQzcW5oMHhqA6RXVwzKO1zICmvf4fVztLObzaIRZ0QjXOItRU7Mfz7E7+DIaIajr+DWN2anXvbXb7MjpodCwBs26B+L2MpnZ12zBparc5kt+fm9KJPi5u53HyyqGaZTZ9jeb+bpbG9JHkTCfRsLMrR6Na4QG4sTW4yZ3B/8OBQBYU1Ob1VRmVRR+XlTMzxnegGinA8wW3k99F33U1MBDpeUcabGmg2ZTDUZWJOJsTCTYmEhAtxMu3OUq44AhbjMrvvwyzPvsQ+tFlxD5/PMhvS8xfKLfziX67VwCTz9N6e1/xbzLzsM9JCGEEEII8R0iQTPRI629jcBfbyH69uvDPZQe6bpOfNo+BD+ZOdxDESItUVrG6lnL+72eZpGDJEIIIYQYPAaLmW8fe4k3LvsDupzJcJvgb2zhhVOvZOdzT+L4+67HXjE4Z58WQgghhBBCCNE/uhaHtW/A8qchkdvkNVjemJ3bThZL9D8oVAgLSg/9Y112xMlZjE5f9hBjNUHWEMxZ9jLGYcXAgZRyP+tI9DPgZMZACSZKMPEj7KwjSCMREujpcVZiZhQW7qYrXORMBclUFP6PcWgkw1o90dF5m2ZKMdFOjCOowI6BELl/S5mJm70poZLCm37eoolZqVDYdtg5nzEFr5tcx5E1kqUE+DMr+QE1WcsdRCm7UIwReIpN6MBk7EyjqM/2tr6sI0wZyUawMxjF0ySbsYbmlZjrY7WNuJa8t9VtYRb9ek92/lvyZI/vrXBzxq7JkMaeY5151+9sM/ubz8P9fl9B93midWD7rEhVuaHYxW88HTwW8PFQgKz31UV2ByZF4VCLlUNTE9BXx2NZ23g/HBpQ0CxT9/ahw1ua0v++b5DazLqbmKc1rlC7mc2sGdX13hhtMDAzEmFVPMYfS1ycbHP0srbY2um6zgV2BzelAlh/KipJN/AB3Of3UaMaeKOiijYtwYOl5enb4rpORNcJ6DoHNDfQ+W46YYDv4cGwIhbLCpl9UlnNpIz3x7l2B+e3t7AgFuODSBivplE8AkJcL5Ynw7U/72jLCv4lgPXxOC6zzGUQm6czZAbwcMDHlcPcOtiTVfEYM6IRLCTjY3GgKZHg2WBy/LcWuzjf4cSvaSyIRalLJGhKJIjoOjF0Dsn4jh9KifZ2Ws45j+g33wz5fYnhF503n6bjT8R5yUWU/PpaVGf+n3uFEEIIIYQYTBI0EwDoAT96PA6KCpEw0a8+J3jnrejuzTvz4VDS7Q5CJeMJS8hMjDAN1dsTWzmv3+uFItG+FxJCCCGEKFA8FOb1S28Y7mGIIbDouTdY++EMTnr4FqaeKu1mQgghhBBCCDGU9FggWY2kKKBFwbsOFj8KvrqhuT9d58ZnlvPPN9dz3mGjc25/5ld7UHz2OwPadgUmWomxK0UsIDtwMxkHGjrLCPSwNpxJdktSMgQ2hhepZ0m3trE6QozGigsT/8dYHqJ/+yuzoQtgAnYm0Hf4Zi5e5uJlR5x8jwrK6X1i/Pu0poNgAN/i4Viq2J9SvsVDtFuc6l1a+hUWy9z2KoLUEWIUll6bzbpLNpRle4NmbmZ7AJbjZxVBtsfJPDzpYNMqgqwiyPepYh9KmJ0xlv5qT8U3OkNmB1Laj0dQuCga5owtbyDETK3reLUnHGdaddfr4I6PNqaDZsubu4IRl+xbjTeS4KX5rUwzmXg04MsJmRUrCl9VjaJYVZkfjWJS4LjWZLjTp/cVu+zZOTY7LwcD6aalThMNBv5YUpqz/GSjiTNtdl4KJQObi2KxnGU2x0872rIuO0dAoKUvow1GXqrof3ug2PrMiUS41N1Gm6ZxrMXKu5Ewt/u9Ocs1agn2bm5IX/5riYsK1cAxVhtGRcEBrB41hpCuEdXJajHckuricc5ubwGgRjXwQnlFTgjTpaq8Xl7FES1NrEnEOaOtmdtLStmzwNbEoXaazZ4VNAOYH4uymwTN8rqso423wyGOtFh5orQ8J+gruhxjtvBeqhGsRBm530V3+7y8n9GqaQGqDQZWJ+LYFYVTU2Fwp6pyoMXKgcM0Tt/9/ximexbDRtPwP/IYoTffpvS2v2A7Wo4PCiGEEEKIoTVyf3MTW4wWjeK54mI6Dt6TjoN2p+PI/Qnc8OsRHTIDiI+bRnjuwuEehhBZwlN2ZOMX8wa0bkdL++AORgghhBBCbLMCzW28cNqVvHL+tYTa3cM9HCGEEEIIIYTYJmnRIMy4Ht49F945B977EXx905CFzADuf2Mdt764Cncgxj/fWg/A9rUOYq+eCEDtjz8Y0HaPp5KdKALI20CWQGcXem6WmIoDpYdmsOo8DV/PUs9drGENAWqwUtlH4Ku7jYT6XijFlGdcS/BzP+tYl+exZuogO9STAN6imXtYyx6U5Cy/iiAruoXqenMg2cGix9nAw9QR7bM/rsvOqectUwwNLzG8xHmOet6nlVdoyLM2zMOLEyMXUEsRxl763fIb3e35NaIwBivGQZ5q8Blt3Moq3iUZ0oij8661PStk1/nvKw9Khh7XtHdNBI/Eu/bpbqMdrE/ddr/fxy3erpDdr5zFrK+pZVFNbbpFaDezmR1NZg6zJB/rPX4f86KFnyByTjTCA34vzwT9RIDfFeW+dtYmEvy8W+ir008cRRhIhgqPtA5eC8qH4RBvZARG/p4n6CbEcInrOj9zt9OmJd+776aCHX69777E33rcXNrRRlMiu33SpqjDFjIDuNnrpk3T2Mlo4t3Kqh6b/hRF4SJHso1meTzOqW0t3O3LDdgNhyMsVm4sKsk6a3nRVhBQHQ6NiQRvpz5jP4qEadEGHlL+LrimuITTbXYeLy3nh/aR21Q5p9v3/zSTiTdSYfBTrPatIrAttm2J+npaL7yI1suuINHU1PcKQgghhBBCDJD89iOIzJ2Pd70bbcL2wz2UPulGE4kd9kB3VWBsrkN15f6RXojhoqkG1jQP7CyDitFI6/r6QR6REEIIIYTY1i185nXuKN+Pv48+mFkPPD3cwxFCCCGEEEKIbcqy6Z/xn9/XsW599Ra5vzZvlFueX5Fz/YpNATzBGHe+uhpfKD6gbX9CG5+SPOFdgATlZE9+byLMFBx5Q1sAKwkSJpH3tqU9BK80kg1Y7UQ5mP4FXJb30qzW3VndmtYy/ZuNRPKEuhoIs5Ygp1LT47rrCGDJsz/W9iMEtx+unOtaiTKdJvScnrL8zmAUVzORSdgAMKOQAO5iLbPpOnGojzg+cl8fGwjzMW00EeUaJrITzj7vsxIjpRg5lxouZCyTU21yY7DyE8axY57w2+bYSIiPSIawWomio/Ml7WwMB6h0mBjrSgYVHWYDAF+sTQYy2oNxElpyP/5k/67Xwdr2MAsackOG71dU84ui4qzGmaiu86Dfx6/c7Xi1rufkTp+bWAGBF13XOa2thTt8Xn7ncbN94yZOTzUadfdaOEQ4zzZ3MJn4vLKGb6pGcVOxq8/77K41I2xzmaPr+X080PXefLS0nDNH8MT+Qr0aCjKuYSNX9RDaE1uP54MBNmn5v1cKZRtB7VELY1E+SIXl7nOVUaoael3+QoeTJ0srOM6SDJc+4PeyLj6w7/jBpCgK/+cs4rWKKq4vKuGZsgpOtdqGe1gjSkTXOau1mX2bswPeW2PMLN930lDZ0WTmHlcZR1ltI7b5zaNp1Kc+lw4xWyhSFH5f5OKtVKDwvG3ge1RsO0Kvv0H9Hnuzaced6bjhJrRQ4b+jCCGEEEIIUQgJmgl8L/+PyJLlBJpH/i8c8e12w/PpN8Qqx6O0N2OZNH64hyREmmfX/fCu3jCgde3jR6MlNu8P6UIIIYQQ4rvL39DC2z//E8tf/2i4hyKEEEIIIYQQ2wRd15n3xCus/3Ixr9+9Gn0LTMTd2Bam3Zc8od0ntx6QbjEDePbTTVz3xNKCt1XVrUEslDH92YDC1G5hIzcJ2omxQ7frtyc5oTaBzhJ8ee/roF5CZBrwCHVMSAWVCrW8H61hU3ByMWPZixKSvVDZnmETAFE0vsXDv1jPw9TxHzZST5jrmJx3u03EiOQJg02l8EnGJZg4lsqc6xfhY2EP+7On7fyIsdzAdhyQsb9n09XUFSbBhl5CcLtQxHu0sqiHfVuJmeOoZH9ctBCngzjv044JhQsYw81sz6WMoypPg93mWpCxLzqI0USULwzJEN0d359AezAZvmgLxHh6TjPz65NBxEpHVzRyfUdXu9mL81sJx7On/K+qqWUHU3bAUtN1fu5u5zafh5dCQebGulpMvopGmdy4iRNakk0RcV3n7LYW9mqq5wG/F1+3FqZCndCav3lijNFIpaH3YEpPjsnY5mWOrhBgZrPTr9ztA9r2SPNkKjz3v3AIt7QHbdWmmPK3fRXSf3m5w8majFbCkWBmNJL+d0+PrbvDrVYeLi3nULOFGHBFR9sW+XmjELuYzFzmLOIQi3XEhoKGy7Xudr6O5bZevhrqvUV1pHnQ72OXxk08FSj8Z65tXeYnyoUOJ4uqR7MwFiUK7Gw0sZu5fw29QmwJmtuD//En8PzpL8M9FCGEEEIIsY0ZOX91EVuM5g/gffEV3I8/SfPv/oDnP88AEFuzDs1VPsyj613Mk/zDjK5DfOo+hOYtGuYRCZEUL69k9YzCD/B2Z6ro35k8hRBCCCGEyOfV839N4/xlwz0MIYQQKqAq8t+A/xvuJ1AIIcR3VdvKdcz51wvMeuBpXvnhtax861MAOtbU09Y+eH/H/9PzKzj79jm8P7eFV2c0EAgnQzSZk8uDkQSzVrrTl6/61+KsbTgs+b8wZ91+Cpcznn3zNGl1sqKyQ56w1EOsZwLZrSUrMprFptPM49Qxk46sNq6dKUoH0vIJoXE3a3u8PZ82YkR6aFDLZxw2vk81VzOJ0d2CUHWEeIMm/s4aptNEPV1hgI2EMaOyJ8UF3c+uFFGLteBxAeyPK2+z2Xu0kOih1ayNKHeymvl408t8Rht3sibdbAawDyVMSYX44kBHnkazTlbUHsOCKnAa1exPaVaQrJUojRn7a3N9Rhuf0sbXdGQ15O2Hi3JMGFE4hWo+sHYQS2gcN7WUh75qJBBNBooafTEufK6r9e/dy3ZCVZMBiNoSC9VFyXDHJk9XAKBYUagbNQZzt6CEruv82tPB2+FQ3h6/zj25KB4jpussisWYEY3Qomnc4fNyQmsTK2IxNiXy7/OvKmv4urKGTyuq+baqq21twxA0FrVmBK4qMsJqfy3p+tzy6DrvhUf+iWf7Ms5gTP+70FZAsWVFdJ3GAk6wup/Zwi7G3ECWpZdQ06V2J+travl9sQvjCAs/VaUazEapBrR+hMUUReEyZzIgujge415/4SHk77p18ThTGjZyYmtT3uBpQyLOa6Egv/V0cG5bCwvzhMMGYn4P2znBMvhB7KEyPRTkNp+HCHC9182/JWwGQJGqUpN6Ly9IPc/PBZM/C48zGJjYsJEftDUTHyGBUCEy+f/9H7wPPTzcwxBCiC1PjsfJ8TghxJAx9r2I2Na03/0AHff9M/+NVbXgbtuyA+qHeGMzAIGvv4Uh+CO8EANVXzaR+PIFA14/YZEzHwkhhBBCiM0X8fp55rhLufDj/1AxNf8Z2YUQQgghhBBC5EpEozx9zMW4123Ke3vdGgcV5e7Nvp/bXlrFH55NBmVemdFIQuuaqPr13w5K//uEP87KWfeo3Sq49tRJnHLrNxgMKodMK+bzpV1jMqhw1t8+YR2ePL1eXfwkeJyNeW+bl9GQlU8dYeoIsxNFOFOHmhUUTqOGl2lgNYPX5jGQKbwqCqczigdYl3X9N3kel0Kyja2JCN/izbmt+/1fxFjGdwviFUJB4TgqaSfGyozgnp8EXuKUkhu0mEEHfhK8SiPrCXAoFXxE8hjuE2ziOCopwkglZj5nfUHj+JR29sXF+7Tm3KYB/2IDf2AKu1LEp7ThIc44bJTlGd9AeIimHwPAR7SyOyUcSTnlmLmSCcTQWYSXVWEvDrPKP0+fzBEPLgRgnMtMnTuK3aTyo72rOG5qKbuN7mrgs5pU7jhpYlYQzaUoLKipzTueZk3jpVT7TOZzbQH+z1HEzGiE2bEoEwxGjMCO3RqK1icSHNXaxJ6mrmN8VarKVc5ijrXaqM4IfGVO4J9WYNNRoZbHYj3eVqyqvF9RzdGpxrNfuttZ0sP+2Frc7SrlRzEHtQYjperAGuDE0GnXEnyvpYk2TePZsgoOtvQezP2Hq4xDMxr5bnQWc47DyRmtTSzLCKspJOc/OhVlxLZrrYwn34s6oPZzjDtmBO7u9Xv5ZVFh4efvsi8iYc5rT36fLYzFWBSLUqqqfBON8k00wpxYlI3dAo8P+308ULr5J9++rqiYn7o7cq4/pLWZA80W7neVDbihcqhFdJ0/e938JxjIur6+h9D0d9HJNhv/Cvi5z+8jpuusSu2bt1INprOiUSY1Jn9fmGo0cU1RMd+zWDH1432/LBZjYSzKDV43FarK2xXVI6qhUWy9PLf8GUVVcf7fpSP2+1IIIYQQQmw95LeU75joylW4H3m8x9vjjPCwizGVjZSQmRhBQlN3pX7GwENmAKHI4Jw9SwghhBBCCH9jC//a+wcsfPb14R6KEEIIIYQQQmw1Pr3lHz2GzAA2LhucJqC5q7sCTwlNx2ruOlx7wHVf9rruB/NbOe6Ps4jENLzBeFbILLk9WNea3H7hXWDZNhJhV5x9LtdG9nENGwaOoGvy9q4U5axjRWF8P9vAChVBI0iCIAnKMHE2o3pc1omB/XFxKeNQIB2Yy+TKc13zZjR7KSjs2W2fjMOaN2QG2cG4b/HxULfgXAydnSiiAjP2Ag/5f0F73pBZprl4MaJyKeO4nPFcxBh0YC1BtM1sj7J326dRdGbh5jE20E4UFYUoGh+bk5P3/3TceMaXWRldnDx+vX2lnbtOnsjcX+3BP87Yju/vlBsW+OGelXx0xS78eO8qAH5g77lpr0pV2cXYNaYdjEZmV41iYU0tPy8qYm1qYvmVziIURclpROv0bUazTbOmcYPXzT7NDXgy2nVu93U9nxfY+35/9Uej1vVuf7OiKuf2F0NdYYI7MxrOtlaqorCX2ULNCA1xbKt8msaXkXCfTV1XdbTTlnrtL4v3HILsNMFkYu+MsOayRJwiVWVMRvCqWFHQSX6vVYzQ5/1/oWC6iezXAwiJlRsMfFRZDSQf54JBat7a1qyOxzixtYlxDRvTIbNO57W3cnxrMzd63bwWDrExkUAFdjaa2CUV8J0RjWS1xw7USTYHtxeV5L3tq2iEv/h6D+0Pl5ZEgh+0NeeEzADOsPX8ffldU5MRYn6wj6a3ZfEYP+loY3LjJu72eXtcTtd17vJ5GNewkdNamzmmtYlfeToI6TobEgl2bqoftPEL4b75Ftou+T8Sbe3DPRQhhBBCCLGVk6DZd0hkyTIaLr4CPRTucZmEf3AOkg0FXdfR3D3/Yi7EcNBNZlZv6P2PS4Vwt8gv+EIIIYQQYvDEAkFe+eG1vHH5TcTDA58IJ4QQQgghhBDbukQ0yoy7nuDzWx/udbmmlb0HdAq195Suicltzx5D8OUTOHyXZGBG1+Htm/fljANr+P1Z2/Hib/Yk9uqJPP/rPQblvgs1Hnufy+QLso3BxiGUAbCM3GMnFgxcxLiCxpBsrynsLPxz8fBXVnEHq7mD1XiIMxUnP81zXwdTytVM4lgqqcVKAxFaCFOKERUowkgJRsx57vtNmgsaTz6NhHmBxqzrSvrRFBZGx5AakxMDe5J8HakoXMkEarAMeGyZEqkwWRFGarCgAU+ykf+wkVtYSQyt9w30wtTD1IQWojxCHesI8qG1A380xt5jnPzs4NEAzFifDG98sNLNNdPXstHd8985FEXhsMklrOtILjPN2PM+fiEUZGHGyU2vdBZTbTBgVRT+6ffRqmmMNRg43db1fqgbNYY3K6o4zJK7v3fOuC+boqSDeQ2JOIFUsOF/5ZWc2Uv4bSCucXcdY5xkyA7zLYvFeCRjkvwJtr7f22LrFNZ1/uBx81TAPyhBmkxvhYIc2dLIue2tnN7W0uuymfe8sJe2vUxPlVWk//16KDlf5cbiEi6yObit2MW86tEsrh7NrKpR/MgxuEHNwdCSSPA7TzIge7HdyQ8G+D7bLuMz5JlAbhBIwAvBQNbramejiaKMELBTUTjUbOEaZzHPlFWwqHo0b1VW89/yKixAi6axepCau851FuHq4bavIiPz7/EvhALMz/O+PM5iZXtjbsD+u0jXdZq1/KdrqFRVlteM5kc9fI/f7ffyg7b8Pyu2aRr3pMKoc/IESfcyjfCTwoutTuidd2k86mjCn3423EMRQgghhBBbMflN8Tsg3tJK+x1343nqOUj0fv5CPT7Q8xtuAaUVaE0DP4AjxFBo33Ef/B/O2axtKEYjrevlDEVCCCGEEGLwzXn4BTbNXMBpT91B1c7bD/dwhBBCCCGEEGLE0DWNhc+9wSd/uJ+O1XV9Lh+PxGAQwjzXnDqJ3/5nGQCX/2MhL/xmLxKJrqn5B+9YxrF7drUSPfPJRi66Z/5m329/2Om7McbWQ2joMMpZiBc3uRO5PcSZ3i1s1ZN9cWEu8Jyp6wllhRvuZS0/ZwLz8eUs+wUdLCfAaKwUYWAG7nS4CsCXGndPXSQPsxZQ8BDHiEoRBmqwsh8uqlKvjygan9GGGZXdKaYYEx/maRJbS5C3aGYMVsZhw4WJ+Xh5tds+MkCqzSc5Tj8JXqWe8xkLgAMjlzMeHZ33aeUrOtLrWlHZlSK8JPKG/7rbg+yGlk2EachocpuJm4NTYcLeeIlRT4QpONIBOYBzGMXzNOQsH0LjKTaRCOsYVHjozO0wqMn19qh1MHdTV+jisZlNHL6dq8f71nWdBQ1BAKaZ8gfNorrOjalgiArcXVLKqalwiK7r6WaiM2x2TN2azHYxmXmqrJL3wiEu7Wjregy6zuEWC59EIvzaWUxMh1dDQf7hT55ItVhR2NM8OIHATC0ZzWkOtes9syYe45jWpvTlMlXOQbwtezro54mgn3NsdjYkrIwbpNDIEwE/f/C605e/jUX5NhJhzzxhS4Abiku41tPBgWYLVzoLa/ZyqCpXO4u52+/l2qIi7vF5uSv1vtklZuJMu4MiVc3TkzkyhHSdYCrcpyjJwOtAfBrpOmH0JAn95HWKzc5DqfDsHSWlnG2zMysW5etIhMMtVnY2mTDk2f/WVBPiV9EIX0UiWaG+unicElWlZACfkdMrazimpYlwt8ZP2wBfA0PtwIzvoIkGI8darexkMnO0xTrg1+22JKHr/Nnn4bGMgPZ4g4E/F7s4zGpLX/fnklL+nGoI3RCPc1BL189ts6JR4rqOsdv+rDAYKFVUOvTcwP7pNjt3bwONo2Lk0ZqaaTn3hzh/cikl11yNWtz/xk0hhBBCCPHdJn+d2Mb533yH5l/9rvA6ZMPI/QOzVjEaNuNMgUIMtljNaFZ/sXCzt2MfPwpt9YZBGJEQQgghhBC5Guct5cFdvs+oPXdih1OOZOKR+zPu4L2He1hCCCGEEEIIMWzaV61n+qU3sP7TWQWvY7QU3j7V63YMKkftVsEH81t56csGZl7yIXUtofTtRWe9Q+K1E1EUhRc+38QFd83LWt9sVKgqsbCxrWtC+s3nTiGWgJnLO/hg/uY3ry3Ex96U8A0eFJJhJSMKvowes+oeQndGFKbgYHYPUa1v8fZ5/3tQzLFUDmjsnRLo7EoxX2aErjq1EKWF3DaJQjSQ2QSi4SXOJiLMw8vJVLMddv7DRppT2/+YNrbHQQUWVhLM2pafBLNwMwtwYOBKJvABuW1BpzOKl7qFs1YRyllOQeEoKpiGg2/xUoOF/ShN3Vc8K2jmwsjRVKADX9BOI1HOYRTGbk1u3QOFn6WCbBdSSzXWnDHUEeQlGtKvlQMozXoup1LE/oT4GnfOup0NYFcfWssetV2tRc+dP5Wpt3ed9PHZuS0YVIX7T5tEkTV3usMmT5T2YAwD2Q1Bmbyalo7PHWGxclpGO8mDga6A4oHm3MfY6RirjfU1tTwVDPB6OMj5dmc6KPJ40M+9fi+ejGapwy09b2tzlKkq7VruxPXlsa6w5x+KSzjHNrhNamJkOdhs5fdFyQlAmSGzhbEotQYDZWrfAeJ8MkNmnc5sb2FJTS2WPMGUaSYzb1ZU9/t+ri4q5uqiYuZFo5yc0Qi0MB5jn6YG5teM7vc2t5RxRiNHWqx8GAnzWMBPiaLyy6L+TeafH41yQXvy+7tUUTlD2gdzhHUdb8ZnXWMigaIo7Ge2sF8BId6DUkGzLyJhfuRwsjgW5Wavm1nRKDqwrqYWtZ9hqwlGI7OrR3G/38szwQABXWd/s5nfOkvYGI8zZoQFBvc0W3jAVcbsaIRri0oGFK7bVsV1nbPaWvgm1TZ2ms3OHSWleT/nOq2MxfheRqAbko283UNmnR4uLecmr5umRCIdOLvM4eT6YtegPAYheuL/16P4//MU1gP2x3rkkVj22xfzLjsP97CEEEIIIcRWQH5r3Ia133U/DT++rPCQGaDHBqcmfijE4gP746cQQ2WTfTRaZGAHIjOZKvs+86MQQgghhBCbq+HbxXzyh/t54pAfsuj5N4d7OEIIIYQQQggxLNZ+/DUP7npyv0JmALFgpO+FCvTuLful/50ZMutkOOVN1JPf4Ny/zc25LRrXs0JmADc/t5KzDxnFPRcdkvf+LKicxaiCx+fCxAlUcRnjGI2FEFpWyAy62rUCxNMtYJ32xlXwfXW3C0V8n2pUCp/sPQ5bztJlmKjGwtn9eNybI4HOqzTyKBvSIbOxWNGB5QSYQQfOXpriAiT4H42cRW6YYkaesNzoHoJ+KgpjsXMKNemQGSSDbKbUXirGyGWMZyeK2ZliLmcCNzKFqXn6gjLbyMoxEAWCJHiYOproeh16ifMsm3icjVmvlZl04M4K58ExVPITxubsj85I1gV7VbEm4zW+pj379Q7w1JxmXDd8zX9mN+XcNr8+2X62ndGItYfJ3hUGA+MNyfv/MBJmYazreN9ffckw5EFmC3uYzXnX76QoCj9yOHmpvIpTbHZ+ZHeiAhsTiXTI7HsWK7cWu7jHNTTHA7+f0bIyPdQVZjwwo3HqSIs1q+1MbHummkxc7iziUmfX+3hcw0ZObG1m96YG7vV50XS9ly1k82oa7Voi720xuoKhvXk/HGJcw0bGNWykLl7YPJQJeYI5HbrGm6FgnqVHjnsz3t93+b38pL1/oe/yjPfn312lVBhkbkynd1Ovo+0bN3F2xn7t6fO9k67rNCW6XsMHpD4T34mE+afPw/GtzcxMhcwA/jvA11iJqnJDsYvZVaM4wmxhaSzGqe0tHNLSyNLY5s8lGWwn2+z8qaRUQmbdrIzH0iEzgOWxGP/0+1gci6Ln+ezUdD0rZFaiKFxXVMycqp5/7tzfYuG9ymrm14xmcfVoZlTVSMhMbDmRCOFPPsV90x9oOuEkwp9/MdwjEkIIIYQQWwH5zXEbpQWCtN/zQL/XiyxfhT5EZ1PbHIntdiU489vhHoYQaboONcYQ1fvulHNb2S5T2PXQaexw1J4oBfwRWLP0fpBKCCGEEEKIwTb9kutpWrh8uIchhBBCCCGEEFvcxzfcQzyUG1zpS+uKDXS4+9dQ0hNFUVj58BHsOqGIalffLRyF2NSqcfzvPsx72ygsTKbwNiMPMVQURmHleKryLvMXVvEfNnAna3iAdUTpahnpqe2sLzZUTu0jZKajMxs3j1LHIryswM+uFPNbtuM6JnMdk7mRKRhTh8GnUcRljBvQePrLCHRkhKo2kP0685M/tNFpBQHm4uFwsgNJe1LCpG7tYfVEWNBDa1w+CgrXM4Wb2Z5rmIStW8jL0MM+L8PMhYzhLEbhzhi/BjxIXTpw+DltrCCQs74GvEVXO9FqAtzGKl6ikZ3yBNsAdvv7XLb/6zf8e3YTj89q5IRHFvf4uG5+t447PtpILNH1+usMmu1o7P342z6mrtvfCycDn2+kggYqcKer9yaTfHY3m3m0tJwKVWU3k4nnyyp4oqyC8x3OHhtO+uOjcIjPI9mvq98WlaT//RtPVyjRqSjUpFqsngjkPjdi27axW7Dr734vC2KxHpbO5tU0HvB7eSUY5I5iF7XdjndfX1SCTel9qtHMSIRLOtrSlw9uaSzovl2qyqqaWn5fVMwV9q5mwyvchZ9ceTgUqyo3ZbwX34mEaUgUfpLnMUYjh6WCUCvihT1P3wU+TeMnGa8jgL1MZu4qKeVSh7OHtZLtZ+MbN7FPcwPjGjZyfEsTp7d1NYb+1e/LWefDSP9/Nuz0aSTMgc2NfByNpEPGCWBhLEZjIsHroWD6+0WMTDsYTfyl2MWORhMqsCQe426/l+NbmzmopZGbPG7eDoVYmfoc/WdG++kfi10srKnlZ87igkOiRapKrWFkNd6J75BEgtafXE5s9ZrhHokQQgghhBjh5LeWbVR47jz0ARwkIxZDH7sjyqpFgz+oAdLGTMIza1Ey2SPECKEoYF2xmInAmN3G0V4+lvaNrdSMK8c1/2uUBg07sOsBu7B4fj1xX88HcILhkXcmKyGEEEIIsW2LBUO8cNrP+Mk3/8XqGpyJkkIIIbooavI/MTCy74QQQgyVaCDIhhnzBrz+isVO9jvIOyhjmTzKwbz7DgPgw/mtHH3j1wPe1mE7lfPsk142hPKPbTvs3MGqgre3GD/7EmQ8dsZg43gqeZuWnOXWkgznRNBoJ0ZNKmC2gdyWtkLsQQmGXs6TqqHzV1bR2T/yMtnBhZvZPu96o7DyCyaygRBlmHiUDXmXm4SNNXnGrgD74eJYKomi8TdW0z0+YEPlbEazHD8zcPf4GPryLd70Y9HRCaNhw8B0cpu7PqedXSnJuX6wTcQOwOs0EcoIFEKy0a6RCO30HIxYn9qnXuK8RAMxdDqIMbOX/aTrcMkLK7OuMwPdj6jVuSP87q11/O6tdVx+QA3/OGO7dNBsmsnU6+M62+7k5VTA7PlggMscRVydCrMca7UNeAL4UVYb32a0jA2G+3xe7vRnv7/rRo0ByGoqC2QcTzcoCn8sdnGZu41XQwFuKXEN6pjEyDa6W9jhALOFHft4T3SK6TqTjCYmG40UKyozHE4aEwnMCpQqKkoBocmng/4eb1saS0aTpxlNqHm2ZVYULncW49M0Hkxt51xbdlha03XaNW1ENX9d6iyi2mDgytTnyH7Njen3aSG01Nu3Q9N6X/A7xKIoFCtKOrwFMNlo5Af2rteDruvMjkVZEItynMXGKIOB7Rs3ZW1ncQ/hvS8qa7i0o41l8RhvhUMENI15sSj7mS3pcLCu6/ze6+aFYAAN+HdpBYdbrTQlErwfDvFOOMRn0a7W25KM8V7ryW4krU8kuMjhxDQIwWMxuFRF4QKHkwscTtoSCT6MhHkvHOKzSISNiQT/Dvr5d+rz6NHScu7wdX0nX9RL6FGIkUr3eGi98MdUvf4ahtLSvlcQQogRTI7HbR7Zd0KI3kjQbBuU8HjouP+hAa8f00wDPM/g4NPtTvybfBCVszaJkcu0qY7qTXVUA3Q7mZpt2UJ23mka82fXoSfyn6nS3dyW93ohhBBCCCGGUsfqOl45/9ecO/1BFFX+giiEEEIIIYTYtsUjUT78/V2bdWLDJZ82se+BekGT7PvjiF3KN2v9Txe3YaGjx9sbiPTRpZXrCTbycyZQjpl9cLGSAKvouY3jK9pZR4jTqWF5nmarQszBgxmVfXFhJzc8sIlwOmSWz6e0cShlKHnauVR05uBhPSH2oYTJOHie+qxlxmLjHGoJkkABdMBFdjCjlVhOyAxgL0qowMwEqtiRIh7rIcxWqA2EGIst3Txmgpwo13E9tM0NlQsZy6e0sjT1/E7FQTEm7mItAC6MuPPsnQgaT7KRSdgIp4JqZZhwYWINQcwoWc+rE5UQWs5rtq/TNj40o5EHTp/MwoZUo1kfoZqJxq6pEvuYLbg1jc6owG0jKJTVoSVyQmaQbKwaYzSi9/KZtnNqH3h0nffCIY4Z5ADctu4mTwf/DiZfTweYLfy1xMVEY2FhreGmKgqvl1dxVnsL08ur2KHAkBlAucHA/mYLVkWhJhXkqulnoKtJy/+tE9Z17IpKtcHAhkSC8caepywVqSorampZE4+xo8mMrutc6W7n22iU+tT29zaZuanYxe7m3hsMt5SSAfyNtTWRYM/mhvTlgJyAOc2sKMyvHs2nkTAXpprNXgwlm/ZUVeWLSJgrOtrSwa5b8PRrElytwcDFDifXpQJh05qSPxd832rjH6Xl6LrODV43zwS7fq75UUdrj9v7vLKGSlXle61NbMozN+TPPg+qApc68jd6bo10XScK/W4AHcnKDQbOsjs4y+4gpGt8HonwXjjEi6lWukszWvZOke9VsRWLr1lL22VXUPnMUyj9+DlBCCGEEEJ8d8hMsm1M4JPPWX/QUQQ/+nRA6zsO2gfzuvmDPKqBi42ZSryhse8FhRjBrKuWst3hu+e9TbWYaVlfn/c2IYQQQgghhtrKNz/hlfN/TevyNcM9FCGEEEIIIYQYMhtmzOWhXb/PrPueGvA2dvz+3vzwWmXQQ2YAaxrzB7h2GldYQ8Lv2I4IPTegLCbZwDCJ/k2GXZ5aT0XhXGp7XXYBPrzEWUGAavo/4d+CSgSNT2jjAdbhzxNY6mu7H9PGx+Se3G8pfu5mXbpZazYeAM5hdNZyn6XOJujCREkqCJUpRJyZ3c84mPIFHXySuu+x2Pgtk9NNYANRmnHfmwhnhcxcGLmWSUzGkbviEKrBwtnU8lsmcz61nNlt/+ULmXVaQ5CJOKhIPYd7UcLJyVM45oQH/XlCZoVq9kdZ2Zp8nnfoIxA0K6OB5p1wiLpEcvx2RaFMHRktSTMjEXZr6gqgTM14TEe0JI+h97zXYYzBwNhUQOg2r2dIxrit0nU9HTIDmBGN8Hff4DRabim7mc0sr6ntV8is0wSjsd/hskz3ubID1J3NXlZFIYbO+niccQVs36oo6df9f4IB3giH0iEzgG9iUX7v6TlovSX9oqOd89t7DiH15Ifd1rlsGwohba6lsSgXtLdyhTv7u3e35ga+Coc4r701q+0Msj8Tz7M7sCsK5arKBXYHL5ZVZi2rAAeZLTkn4n49HGJcw0aObW3mqWAABTixj0DRXSWljDcasasqn1fWML28il86i7jI7uSGoq720Vu8nl4DwlsTXdd5JODnqaCfBbG+4uBbJ5uicozVxp2uMv7hKsu5/bqioW+WFWIoRb74ktaLLiEyb94289kkhBBCCCEGjzSabUMCn3xO/VkXFHwmRtveu2OwWQiv2UC8voHiw/bFsHT2kBwgG6hoozQ9iW1D6bI5mIodxLzZZ/F0TB6LvmT1MI1KCCGEEEIIWPTcGyx+8W0u/PhJxh+y93APRwghhBBCCCEG1bpPZvLkUReh52mWyMdkt7LTSbtjsqgsfX85geYOvnf1oRxw6KYhO4a23WgHPzhwFC9/1RUoOfOgUVSUmFlc5+913UqHnbcCzX3ex3FUshcl/I3VvbaCZQpkxH0MKOxJMd/Se9AiTILdKWEeXtalgl3d/YhanqWeeMY4MoNyIRJoQJAEM+lgN4opw8x6wn2O+TPaMaJwKOVo6OhAME8UZzpNXMUELmMcH9FGmAQ7UoS5l/O0Pks9G3oZQyhjf1kx8CNq+Q8be9wPmQ7ERRVWarHgwoQpYxzVWJiEjfWEqMTMTxiPmqe1rSdBErxNM+sIUYKRcsyUYUr9l/y3LU+DXE+sGNiunyE3Awpv08Q+uJiCnTLMhAccJ+vZ6D/OBqBEUajqoVlI13VeCgb4c0ZoKA74U8fYI7qOrg9+c2F/fRYJZ4VWLMB7ldWMa9gIQATQdB2TolCiKOmwxbNBP0dabFSnHr8x9VoZtRmhoe+iSJ7rtttK2sxGghqDgbpRY9B0HbXbe6nQ/bguHudX7nbWJeLc7yrjDl8yLHmi1cYJVhtXpsJHi+Ld+x6Hx4eR5Gd9hapSrKjc7irtc53V8RhLU+O3orCoZjTmETRfZ7g9EfDzeSoUXKGquDWNOMmWxnM6sucSWVGIoxMHRqsGjrFaubnYxV9Len4eVEVhrNHI7OrR+DWNJi3Bj9pb8aU+T5fFY6jA30pKOdOe/N77OBziiaCfJbEYzVryZxcL8AN71/eiUVHY3WzOatpbHI/xaqoR6/Ggn0u2kUChXVE4yWZnVjTCrtv4R+T3bXZius4LoSBWReEoi5WxvbQyCrG1CH/0MeGPPsZ1yx8puvTi4R6OEEIIIYQYQeQ3nm2EnkjQ8psbCw6ZWXbcAeuGBSiKgklRYOdalGXfwAj7o5UWCPS9kBBbATUSpmqX3dj0ZXZjoKHcNTwDEkIIIYQQIoOeSPDfc67msnmv4ajMPTOnEEIIIYQQQmyNtHic6ZfeUHDIDODAi/fjsGOSga+jT6vE451EeVk99CPYMxAv/nYv/KE4wUgCTdepLLZgOu3NnOVqSi00dnRFIMaWuPg2UN/rtkswsj/Jida12FhL/ga17kq7NXodTxUlmHATY24PgbPlBPAT58eM5WZW5F1mAnaqMFOfN8oBk7FTjJEXqGcpfj6lnd+zHROxMQFbj8GtMky0E+Mj2vARZyE+4uiMx8pk7KzOeNxBErxGE6dQza4UMQprum0rn3UE8fTaHZVsjjuCaHo7CgoXMoaNhImQYBMRVhGggUg6ZFeOkbHYOJyKdMgtM3TnJsZzbCJAnJ8ygfKMMbYRxUOMidhRenh91hHiZRrwpsbuI87GPGE5G2o6dJYZQCvDjB21x+1nMqNgxZC+r8zro+hsJMJGmtmT7YBkYO04KqkjRDMRWskOi1hQiBQYiuyu2mDIGxRL6Dpnt7UwK6N5ZZLByO+LS9jNlNy3CRj2kBnA/GjXGB8tLeeYVJuOka7Gnj/7PNxU7OLtimoOTDWc/dbjBtxUqSq1BiNrE3EswF15mlhEz6x5XgOn2gbeUvhd1T1kVghd1/lvKMiNXjeB1PyXc1Khy52NJv7hKkNVFJ4JBvgqFULyaBolPYRLt4SIruNNjfXDympKC2xFXBDrCpktrxk9Ij57BmJDPE6twVDw8+3RNGZHI3yd+q8xkeA+VxkHWqzpZTRd59vUZ/U5Njt/LSnldq+HB4O5Afy1NbUYNmPfuVQVl6oyBiMLq0fzr4CfW1PBRg3SITOAw8wWVsRjfBLp+hnm1l7CbJ3udZWlg2Z/9HoI6TonWe1M2IqDSoqicIDFwvJYjKMznrtt2el2B6fbt2yjrBBbivuPt2DaaRrWAw4Y7qEIIYQQQogRYuv9jVVk8U9/i9iatQUvb650obQn/9Ci6Dq0NPSxxvDQQn2fmVCIrUVV3E290Yge7zrAFtGkelwIIYQQQowMvvpm3v3lXzj9mb8P91CEEEIIIYQQYlDMf+o1OlbX9Wud7XbuCrsYjRrlZZ7BHlaPnDYjTlvX4dtiuxFvMDu088/Ld+b02+akLy9saESBXuM4HuIsxcc0iqjFUnDQbE9K0v+Oo/MwdbiJMQFbj+sESPAwdZzDaK5hEusIsgI/i+iaGH4LK3vpDYNVBHETxZqx1EzcHEIZ51HLP1iXN/TVToxSTHQQYzZdz9tqQuxKEdWYaaIrvLMUP+sIEkLDhYmrmJC3KUxH51nqiWYEwHryKo1czFgMqe0oKIxN7a/tcHIY5T2um0DnT6xMX76JKbxGY3rML1LPFUwAYA0BnmQTALtSxAlUYc1oJdPQ+ZIOPqIVnWQI7zgqiaLTTpR2Yqn/ovhJEEJjE2E25QmhWVC7hc+S/67AhCNjuoEJlWuYxBe08wHJUMgZ1LATRTxMHU2pYGGQBCWp53ZPSpiEnRKMNBPlMTak7/NSxvFJajsW1D7b9DLV9hDymBWNZIXMAEK6Tpmq0qolA6kqDGujmabr/NbTwfOhrvfpgWZL+t9rRo1Jt5o9GvBzU7GLMUYjF9gdPBXsOolrs6bRrCUf66k2OzXSaNYvHi37/X6h3bFVB0K2Jvf6fdzlT77fa1QDjVpXWPxUmz0dZnq6rIJJjcnPwTXxGHtkvE+2tJZUoN0EuJTCA2+NqfWOtFq32pDZ33we7vf70pcPNFtYEIvi13XOttn5ubOYYlVlZipUNjMSYXE8lvNzy4XtrdxaUopX11gWizEnGmVVIvldf5jFSgKyQmb7m8zc5SplTD+aBlcX0H6nKgqGbqPzahrFqsrcaISz2lqyYvLXOIuygmi9OdVq43/hZFj+Dp+XO3xe3qioYldTz0H3kW6y0cRk+WgUYtuQSNB2+ZWM+vpLVFvPv+8JIYQQQojvDvl1bxvgff5lmn97U7/WibZ7Gemt5Vr1GLT564d7GEIMGsvq5ey6384sXtBA3Jc80NPe0j7MoxJCCCGEEKLL4hff4YBrL2HUHjsO91CEEEIIIYQQYsB0TWPG3f/m4xvu6fe665abqR09+GMaiDl3HcKUyz9OX7ZbDLwyozFrmZjed/gJ4CUa+B0O/BTW7laOKSt0tZIAranA0yqCKMDRVLIEX05Dlo84L1DPL5nIrhQzHltW0AzoM7J1D+s4nK4Gpg9pZVeKKMHEz5jAPawlkOexuDPCZpmW4ecixvIUmwhmrBdKjcRNjBUEmIoz73g6Q2bFGPBmrD8NO0szgnubCPMajZzOqD4eYS5vtzFH0DiIUtamGty2JzmRfSFe/kvX62ABPiowc2gqxOYnzqs0phvcdqGIk6jG0kO8L4JGRyp01p71/xhe4kTQaCBCQ7cGujFYGUNXg4kx9Xo5mDKm4kSBdAPbXpTwHi0cSyUlGUepn2VTuqGuLOP6CBqVmDmTrjdjMSa+xZPTmJZPXTz/Mo1a7iuvQUtweltL1+Ma5kDWwlgsK2T2dFkFzm5NTZWqSkvqsYxr2MivncX8paSUv5SUsjAW5dNImHfDISYZTIw2GLjUkf91LXpWoqpc5Szi22iU3xWXsMtWHAQZCitiMb6JRTjaYqNyEN8zq+Mx7k+FzH7hLOKXzmIeD/j5U6pd6jhr18R3o6Kwl8nMnFiUhkSCPQZtFP3Xmno/lqvJNsWWRIK7/V6Otlg5wtrzZP3/pd7rO5tG+uyd/MK6nhUyA9ItcwAvhIK8EMofbp9oMLKf2UKtwcDf/V4iwK88HVnL2BWF64tKOMFq48++7OD/8+WV/W7MmxHJ/h6LahrmPE14L2WM2aEodHYZ3uL1ZH0T7msy88uiEgp1X2k5RZ6OrFDw/T4vj5RVFLwNIYQYSlpLC75/PEjJtdcM91CEEEIIIcQIIEGzrVz7XffTdtud/V5P8+bWyY808eIaQIJmYuTp2H4nGqwurKqOTYtTvn4lZk8Hug6bdt+fOfPXY7RaqKitYN9V35D5903b8kXsNnk8K/3l+NfX07R6w/A9ECGEEEIIIbrR4nFeOPVKLp35Is6ayuEejhBCbMWUrfZs5COD7DshhBADl4jFmH7J9Sx46rUBre/v6DvEsqVMHu3glh/uwE3PLAcgGEnQ6I70sVZ+GrCGIP4CQjoAbd1CT/O7tUnpwL64sKPmBM0AvMRZT4ggCV6iocf7MaBwOeN4ik05AaLZuLPa2u5mLRczlnHYuJqJvEYTC8me4K4DHmK4MOLO2F4UnRl04MKICnkDd6/RSA3jcXU7XaeS8bOJCRUy1j2KSpZ2O565hiDv0YIRhb0oyQpW9ab7/a4myM4U8Rsm4yFONWY+oIUv6MhZ90vaWUWQPSnmA1rxk8CIwglUsQfFWY+hOwsqNVioIbcNKJYOoWUH0NqIspFw1nOfyGiAqSA7lLMvLvbFlbN9k6Kmn+B2cptmDjx0J6Z5N4CucbGjhhtWNPBk68qc5bpbrSVYF4/nNFDtbTJTBN1eNdnuLCkb1p/l7Rn3/VVlDWPytGh9VFnDLk316ct/83upMRg40+5gF5OZXUxmfuYs3iLj3ZZd248AydZgfTxOkapQ1kPjX18+Doe4sKMt67rf4uY0m53dTWZKVZXDLBZKU9tvTiQoVVVMBb6fdF3neo+bGHCkxco1zmIUReH/nEXsajJTbTAwrtv7oTIVEmrJEyLdkjalmrcatQR/93m4NxW+ejoYYE1NLcY8+6BDS7A01bD1A1thjVgjSVjXOam1KX35/xxOHgn4qVENHGyx8HK3gNl2BiP7WyzsZ07+l9myWGlQ+a3HzXiDgR2MJqaZTOxgNLGf2UKlwcDKWIxHAl1znFTg4o42Histx9CP19fvve7sMTXVs6J6NNaMsFlrIs6yjLDy/SVlGFO3L089XyWKwo1FLs5y9P956wwFvxcOcWlHG+9GwnwTjbD3MDbyCSFEJu9dd2OcNBHH6acN91CEEKJAcjxu88i+E0L0TIJmWyld12n/2z20/+2eAa0f29SAPm00urME3WTBsGLeoI5vc+lGE8EFS4d7GELk2LDb/nz+4bys61zjRlG741SaG9poybjNs7GRPSa5MHf7g6Vp43qmWq2sP2gfVn0ye+gHLYQQQgghRD946up59sTL+NGH/8bqkklJQgghhBBCiK1HLBjipbN+yco3PxnwNtbM3EDkxCJWryrHaNbZfkpj3ysNoWc/3ZR1+YN5rQPe1kJ8TMPJKvK3i2QyZUw0CZJgBflOYqmzK0WsIciCPNGdz2hLt3H15CLGUImFq5jASzSwnK6WjwAav2Ai97I2fd3jbOAyxjEKK2cwCgsq39DVcmJBJYKGJ0+gLt8YM4XQeJtmzqW2x2W6B/BeoSlnGT8JvkqFwTqIcUaB7WYKCjezPTezAugKbtkw4CZGBI1FPTyGCDp1hKhL7e9kG9goqvKEx/rDhEoVlrzbWU2AF2kgkmp7qy7wvr6mgw2EmYCN+/fciePnzEpH1IoVBa+uc+fu+3CWww4rZ2fE15o5foedeLN1HW3E2IUi2ohSn+qXMaJQ6rRg9IdpAP6vvZX3q2qy7nus0cg+ZgsfZTTunGSxYFINjDcYmGw0sb9leCf7ZwZpIhmPPlOJqrK+ppb7/T7uTLU//crTwTFWGyV52nmEmBeN8nU0ggr8yOHE2s+JmEFNywmZdXo1FOTVVKhoN5OJV8oqucbTwWvh5OfRTUUlXOos6vM+ng8F+SoawQLcUuzKmiy6Xw/vy85lNiaGNyQ+NxZN//vebg1fkxo3cVNRCed32++RjLd3+QDft5qu820syu4mc94w21DQdZ26RIJbfR5WpAJZvy8q4XJnETcWu9LL/b2klDWJOKvjcfYwmXttvjvP7uQ8e/7mxZiu872MQNtP7E7+FfTzUSTMbT4PN2TcZ09CusYOjfV5b9u+qZ4l1aPTzZGRbh+7F7vbuCpWxLXFJYwxGFgWj+PRdSbmCQH3x1EWKzZFIaTrvBEKSdBMCDGitP/iahSbFfvxxw/3UIQQQgghxDCSvzJupdpvv2vAITMA4nE6Fm3EPWMRijZyzszYSZu0M5rH2/eCQmxBCYuVb+auzbneXdfA4s/m0rKyLut6g8WMGs89+yKAGg6TMOe9SQghhBBCiGHX8O1injr6IoJtuWdJF0IIIYQQQoiRKOLz8/Sxl2xWyAygZel67jh7Cf+94QuKivL/jX9Luu1HUymy5Z/M7OrnOUUX4eN1mgta1oTCOzTzLi18Rhvdu2IcqNzGatqJcwJVOQ1WAOt7CZkpwDmMZgw2AIyonMNoKrttJ0SCq5iQdd1rGeGu71GedVtn6Cl/PKdvdYTQu63d/XKmTYQx9nL251jOnutbcep5fZVGHmYdN7OCh6njr6xmd0qwpg7xO8k/aX9Pivk/xm12yKwvk3FwKWMpSY13AyFWZgQF80mg8y4tLMbHmzRz3JxZrB81hi8ra3ijoor/VVTxdFkFZzU1wJrVOeuPsjj5ORO5kSmcwShOoIqq1GsmgU5LKmQGsDwRZ108jq53PX/vh4NZITOAKAr3usq4pqiEU2z2zdgjm0/XdS5qT4ZJzUCtoef3uKIoXFVUzLNlFenrvo4OrPFQjAxuTeOVYIA7vB7W9nCMeaB0dHYymSjqR6BpYzzO/T4vzwcDfJMRpOr0K2cxr5RXconDyVEWKwDzYzGu97rTITOAW3yenHW7a0sk+I0n+XfIHzucOc1l+XwTjfB26n4+juQ2a25Jh6QePyRDY6d1+yy5xedh+8ZN/CV1gtpV8RgnZISnwnr/v7U+Doc4vKWR69wd/CvQe5B6sDzq9zG+cROHtDSm9/3RFiuX5wkSKorCZKOJY6y2XkNmfZncmB24/31RMfuak5/7/wr4edTf92P/pbv3v3Hv2FTPP1Kh3VqjkQ8rqtjV1NUyel/Axw/bWni0tOvz9h+buc9VReHuklIAngz6WZznPSaEEMMmkaDtJ1fgf/6F4R6JEEIIIYQYRhI02wqF5y+k/e/3bf6GdB3nIfuirlqUfXX1GBJT90JzVfSw4tDSjSZC9e3Dct9C9KZ9u2mE2vv+Q3inRCTK584JRHs4i1aHTw72CCGEEEKIkav+m0X8a8/T2fDVt8M9FCGEEEIIIYTo0+d/eYi6L+YMyrZ0TeOE3x3KqJrs9haPt4hvZo6msalsUO6nEKfsX8PXdx6U97YIWq8hp80RRONr3Mygg1m4c243oJJA5wHW4SXOmYzKGUtPEavvU83VTGQq2e0lCgp7UJJ1XSVmyjBzJePT19Vi4XE2cAsr8JBIB50GQwgNH4ms677O8/gzxdE5lNK8t5XnCeB11xlke5I6bmYFR2WE5xrInni+FD+/ZTsuYxxTcOQ8+0dRzsnUYB7ANIAACb6inRl0EOq2D3pSiYXLGM94bETReZZNfE1Hj+E8HzHs3QJycV1nrNHIriYz2xlNHJoR2Ohu0roF7HfQNAypRz4GGz9lAj9lPBPJDYkd2tLI7k0NHNDcwLSGjVzSkXsM+r1ImI/CvTfvbSmfRyN8kQqLHWKxFtQ6dbDFyp6m5Ots5SCHk8SWsyQWZdemen7p6eCBgI/DWppYERu853MPs4WxBiOn2mx9vq48msatXjdHtDTyN7+X6zwdnJ8KQJqAulFjqBs1hl8UFbO32cIfil08XlbBdUXFAPwv1HdrZneXptrSdjKauK6opI+lIaBpnNfW1fD5D1d5L0sPvcMs1vR+mVs9mntdZXxTldtm+XDAz7iGjRzZ0kSrlvyW/JHdgXMAbWTPhwLcVuxijMHAzqYtc4bb+zJCXXuZzPzUUcQtJa4hua9V8RgzugUIz7M7UFWVf5dW0BkDu8Xn4Rcd7ayLd51guymR4J9+Lxe3t/KLjvZ0KK7T74pK+Lwyu/Hydp+XZamw1xSTmTcqqrk+9ZqG5OfzOW0t6cu7ZwTRBuoEm53jrTbiwA0e92ZvTwghBlUiQcc119L2i6vRvFIWIIQQQgjxXTR4f3UXW0xkwaK+FyqAZedpmFZmH3DTi0vxNgRJzJ+F6nJRPL4WtWlTD1sYGtrknYl++s0WvU8h+hIpr+LLRQ19L9hNw5LVvFtTwe67TcWkJ1C1BIZEghaTk5UfDc4BbyGEEEIIIYaKp66eJw49nyNuuYqDfvN/qJtx9lkhhBBCCCGEGEqbZs4ftG0dcOkh7LVv9vGxSMTMc7e20bwk+bf9k/9wOLvvVT9o99mb21/ObXaCZChqS9CAE6nkM9rxkcCCgpd41jLVWDiBKqZntI31pBozxeSfoL0rRbxH10Tuf7COHXDgJcEVjKOdGC/QdbzmfzRwFqN5hLqBPbg8VuBnHl6aiDABe58tXQCL8ee9PthHYCuKxqs0ogBrSE6o/4C2Hpcfg5XHqGMDXZPvSzAyDisHUsYoeg5p5RNDI4zGArx8TBvxVEDsA1o5hDJ2p5hijKi9BBrtGLiAMbxJE3Px8g4tfEkHU3EwCisdxFhHMD1mA3Dtjrth2bCO3U1mjP0JWIRC7LRmDhNO3J/mMMQTGo3BADfPepdyk5mpmoEwCusScSYaDKxPJOjQNTryPA0zK2t4JOjn0YCfH3e08adiFxc6nLkLbkHVatffXW4q7jts08mVaqlaGY/3saQYqboHYQCOam1iZU0tlgGEkPKZ0EtLWGMiwaMBH8tiMebGovhSDVu7m0xYFIU50Shx4ABzz02JlzqKeC0UZHk8jhHS3xLVvbSodWgJjmtppkFLvklvKi7BVMDjNStK+vPqBzY7OwxC6GewVRkM1I0aA8D6eJxDWhpzlnm/onrAYz/X5qRN13i8tBxjP5rqBkrTdfx68ueOyxxOru/hZLsDoes6CcCoKAQ0jfPbW5nTreHrk8pqJhmT+8qpqsysGsUP21tZFo/xajjIq+EgJ1ttJIB3wyF6+zQ83+6gSFVZUz2av/t96XayY1qbWVM9Or0/L3MWc7zVzsGp525j6nV6jMXKLwsIRBbiamcxb4dDLJBGMyHECBV86WUiM76m7J67sB54wHAPRwghhBBCbEESNNsKGcfUbv5GTCZsqj/rkIBudxDARaJ5FQCa243PaKBo6s45rWdDSYmG+15IiEEWdZXRNH572mIKHa1eVKMBm93CJFMMVYuzwAPBtlUD2ravsZXPG1v7XlAIIYQQQogRSE8k+Oj6u1nzwVec9tTfKK6tHu4hCSGEEEIIIUQO14QxwKzN3k7F9mM54oSWrOsiETPP3aXRvGRd+rrpt3xK66UHc+ixbZjNQxfu0DSdJz/eOGTbL5SXOL9iMu1ECaPxr4xgV1HqkPMeFPMtHjbS+7G+aiwswMv/aGQ7HJxMNc7UNpwYGYs1HUpyE2cmHgDGYk3fV6dGorxKPb9kAp/Szlw2/2z7y/GnH0NvIbOjqUBF4V1aaCN/89BcvMzHy56UcBK5v08HSeAhRj2R9HWRHqbH70Uxc1L7QgV2pIh9cDEOK0o/m+10dJ5kE2vJbh4qx0QMHS9xPqGNT2hjPDbOpxZTnpY0DZ0OYjQSzmoq8xFnNh5IjTdTAnh06UIW1Izu15gzOb79mompfzekGm/aYlHagLGqgVJFJar33KoH8FjAz8k2O48GkiHBF0OBYQ+aTTEaqVRVWjSNZ4IBbigwyDHBkHxfvBoKcrTFykm23HY3MbJ9Esn/udmhadQM8YmfNF3nyo42ZmcEXbYzGvl9UQnfs1hRFIWIrrMhEWeSoecpRlZF4ZHSCk5qbcKbCqqdY7P3+np8PhhMh8xOsdo4oJdGw0wmReE8u4MngwHeDof4RTzO+F6CdMNtvNHIuppa7vR5mR4OEtF1niyr2KyA3OHW/gWLN4em61zhbidO8vvnTJtj0LbdlkhwZlsLqxJxjrBY8WtaTsjMqSjpkFmnCoOBNyqqeDjg45VgkFWJONMzApt7mczsZTajkWzpeymjaW+npnrqRo3BqKr8priEDyIhlqeCurs1N7C4pmtO1hhVxQxZ/aKPllUM2uPvbLMb7KhgVNd5MujnnXCI9fE4T5dVjshAphBi65DYuJGWH5yF89JLKPndb1BttuEekhBCCCGE2AJG7l9aRI8SbT2fxa5QapETpa3rjIJ6RTX+oJnYiuwgTaK1DfcXbdj22R2LrwHVnR2W0U1mlEE+s45StxLMJojmPyAjxGCK2x2sm7I7c79eQmzVvJzbBxYtE0IIIYQQYtuz7uOZPHHwufxkzivYylzDPRwhhBBCCCGEyBJoaR+U7VRtX43R2BVWam138fIdzVkhMwB0na8e+ZyFb1TwvZ/uzC67bkLJaGHRdZ1YzLTZIbS7X1uzWesXwgB99G7B53SQAI6hMqel6wHWcQhl7E8pFzOWZ9jIaromex9OGeWYUVHYESdu4kynCQ1YQYAHWc9ljKc4deh6BxxZjV2ddJLhqqX4WZLRINZKnNUEOYUaTqGGBDr1hHmeegJ9PrJckQKb4t6nsJMMasA3eDiBKlQUdHTCJDCi4sKEr1tILZLxbycGzmE0xRi5h7UA7IeLgynLCd0VKobGX/IcATuGSg7ARQydT2ljPl78JFhPiL+witOpYSpOVhMgjIYRhf+S29BTCLc+eG18B5jMWZc3pEIrHXrXdbuZTMyPZe/nfwX9/CvY9To6axCDEwOlKgr/5yjiVp+HD8Jhbijuex1N1znSauXx1GP5KhqRoNlWqEw1QJ7A6lCHzADu8/vSIbPjrTb+z+HMaRu0KArbGfsOqUwwGrnI4eRef7IharzRyKG9hMdcGU1c97nK+jXum4tdLI7FmBOL8lN3G6+UVw1a+9tQUBWF64pLuK4fbYUjxZxYNN2697eSUrbfzMCSrussj8e50+fhvYyQ5ccZ/z7eauP3RSXMiUZ6fA2ZFIWfOYv5mbOYk1qbWJD6nH+tvJI9urXv3VlSyvjGTfk2w/uVNYxrSIb6fbrO0wE/56eCx6qq8mFlTbqRzjnIr7HOb8P+BsZ7k9B1tuv2WI9ubeIBVxkny/eDEGIz+B99jNiyZVQ+8xSKhFeFEEIIIbZ5Q9+fLgZdfP2Gzd6G1t5BsGwy2tjJJHbYE8/GALE163pcPjR7Hp4NPuJT90Y3mtDHTSEyeU86NkWIbr83uq73uG5/KYk4qmP4/5Avtl2R8io27LY/X47fk5frFWZ9OIdYINT3ikIIIYQQQnzHuddt4tULrkPXBm9CmBBCCCGEEEIMhvZV6wdlO0ve+IbpT5XR3FLK15+P5tGfLcoNmWXwNbTyvxs/4Yk/q2ysryAaNbJ06SievcfG7Wcv54uPRg/4ONq6piC/fmLpAB9J4QqNYn1FBwB2DFzGOCypQ80BEnxOMuinonA+YziKCqowcyFjOJwKdqGYnShCQcGCmtV+FSDBqozg2L648t7/x7ThJ86ZjMqZjv06zdSlwm0GFMZi45dMZEe6GqosBU7iruujkW2gdCBMnD+ykttZw19YxT2swYeW96C9A5WfMYEx2FiKHw0Yg5XjqBxQyCyeCuA9ktFGB2BB5VgqOZBSFBTMqBxKOePIbip4hUZuZRUv0MBrNPUZMjMAR1qs3Frs4q2KKr6srClonLquc0xLE+MaNvJYwNfn8iZV5SFXGYd0CxV0Gmsw8ICrPH25Ssk/RWK428w6mVMv01atsHfmFe52zm/vCj2O5KCN6Nk1zgJShUMkmBH8fMhVxt5mS1bIrL/mRLtOVHyytfdQy4JUwG1fszkrrF0Io6LwQGkZLkVlYSzGTR73oM5bEV1iqf1qUxTOtG/eXJ52LcEBzY0c09qUFTI73WanOOM18NcSF+ONRk63O6goIHB5R0kpx1qsPFJanhMyA/p8fa2r7mrZvMOX3cY53mjElVrfr+vEB/Fv452vWHUQP7qfDHa1sZZlhDl/5m7nf6FgvlWEEKJgkS++xP3HPw33MIQQQgghxBYgjWZbodj6ur4XKkBk4dKsM+L1RQ8E8X4yM3lh47L09f7PZuI4cG/Mq7/t9x//8t6P2YLW5Ol7QSF6ECsqpnniNLwYcfvDaAmNSpcdFVhf307T0rWwfN5wD1MIIYQQQoit0sq3PmXBM9PZ7YJTh3soQggxYilq8j8xMLLvhBBC9JeWSNCxZuOgbW/eS18z76X+rbNx9nIen517/Uf3fIKv7UCOO6MFpZdZxN5gjHEXf8g+U1xMv2EfbBYDTe7sI3n7Tilh1srhO4Y2LSO0NQorp1LNCzQAUEtX24iCwsGUcTD522nsGDiRKp6jPn3ddJrZjRIMKJhTLV7PZ9wOyaDUWzRzLrXsRQnfkL0vFuLLCkeZUDmFGippp50YO1LEC922uSUpwAzcWde5iePCSJAEe1GSdbsKWFOBvGUkJ43viLPfrSdhErxDC/PwZl2/DyWcSHXedf7FetrytCsVYqLBwA1FLo622XpcZmye0EBjIsF1nnY+iXS97v/o9XC+3dlneOoEm51JRhPHtDbl3HaWzc5JGdcnFLpm9gP7m8y8WFHV6/a3pM7HWqUW1mT1QTj7ZJpFEjQbkdbF48yNRTneasNCbuhlN7OZtTW1nNrWnG7fm1s1aouMbZeMVkAN2NwOtS+iXe9hUx+vxzdSoZdJhoFNXao1GLnXVcqPO9p4LhRgtMHAL4qGL7S3rbKmnscKtbBf1hO6zoMBH2+GQowxGPhDsQuXqvJzdzsfZoTLVGAfs5lHSitwqSoRXachkaDWYOjztdPdjiYzj5RV9Hh7KCNQ+VNHUc7tqqpSpCj4dB1PnsDiFc4ibvN5c67fXJ33tLmf3F5N4/NImN3NZv7gdaevn1c9mmWxWPr78Sp38sQAp0qzmRBiM/gffwLbscdgPeTg4R6KEELI8bjNJPtOCNEbCZpthWLrBidoNpgCX32Ded+pULdys7el106EusWDMCrxXeSdtD2f1gXxfTQ/6/rBOY+pEEIIIYQQAuCdX9xK1U5TGLXnTsM9FCGEEEIIIYTAs74eLTawUMyWMPupr9j5wIMYW9vS4zIL1vnwBuN8OL+Vy/+5gP9cvQf77VDKoTuV8dni5KTg56/bizdmNXLVI0uGfMzVmNgdF+/SNWZHt/jBNIq4AQce4pRgytnGagI0EMGKylhsVNPVMLIduY0oTall1xPCjspYrGzo1i62nAArCXAE5TlBs9wRJNu6jqBr4vnNbA+AlziPUYeHeM87IYNKcjJ4X105h1HGaKyMx4IXDScGVhOkiQi3kP84qgKcQQ3PpUJ7XderJNCJoLGOZBhjBwpv3ZqHl//laR0rwcihlLMXJVnX+4jzDi00EckbMptoMDLGYODzVIikRjXwWFk5H4VC/D3VPDZKNfBpL+GYs2x2XgwF2Tkj2OLTNA5qbsSt52+Iuc7dwb2l+UOLmZbH838G/NxRxNPBQDo40NatiWakhMwaEnFMKHwSTr7mrQWGLGoNRtYl4lzmcLK/2cKRFmvfK4lBFdd1vo5GGGUw4Nd0JhqNrI7HuN3nxatpLMp4bf6CZKjqb65SihWV230eKlUDP3I42Mlk5vWK/OHPobRvRvtTq6ZRXUB7VKegphHQdSpT67yW0aQEUNPHtjrfl84CA0z5HGG18cdiFzd53fzd72UPs5lD5X0wqDo/j8J9NMbNj0a5sKOV9ozP2cXxGO+25H4X7Ws283J59uevRVGYYByaaWwvB7uavH7mzA2aAWxnNDE3Fs37Xf9VKgRtAIyb8XrtyUCDZhFd5+mgn/v9vqz9DvCrVFPiVJOJr6tq+J3HzceRML/1dDDNaGIHU76fnIQQojBtP/8Flc8/g3nq1OEeihBCCCGEGCISNNvKaOEw4bnzhnsYecXtrrwHcAqlV48hVlJDcOHyQRuT+G7ZtOt+fPHFEhLRkXswWQghhBBCiG1BuMPDk0ddxBnP3sl2xx063MMRQgghhBBCfMet+2TmcA+hT2sWGxlb2/Pt1SVdE/1/ePiY9L8/ue1AvlrazntzW7jusbV8urB5KIeZ1kQsK2QG8A0ejqcKQ8Z0aCMq5Zi7r047UZ5iU/ryOGycx+h0Q5cBhZ8ynn9mnCqwjhCL8LGxW7isuwbCTMHBDjhYTleoYX9cBT8+C2qfIbMdcGDDwDy85I9AZTMAmwgTRmMKDqpS+2kXilnWS5NaKcaskNnZjErtKQUDCisJoANVmPPu6558RGvOdXYMHExZTsisiQhPspEAiazr9zOZebG8Mqt9Sdd1WjWNUlXFp2vpkBnAk720yQCYU9tZEIsS03WMwE5NufvmxqISlsRj/DcU5NVwkCqvyvFWG2FdZ2Y0ysEWC/tkhGMAphpzj1QfZbYwOx6jQ8v/DP67tLzX8W4pC2NRTmzNfm9vX0AAoC2RYF0i+Tq+2OFk1ABbocTmOaylkQ2JRN8LpqxJxDmjLfvz9blQ8rPsRKuNq53FBT3/g+XjjIapvkJmrYkEjwX8zIpGqEvEaUq9t86w2vhvt3a9VTU9f+npus74xq7viEcDfm4qdg1g9Ek/djhZEovyfCjIvT6vBM0GmZr6Pgv2EjRbG4/x/bbsz7FuBZJpp1nt3FRckueWoXOXv6uNrKdg4wV2B3M9UQDu83m5KtWO1xSP8WkqZL2HqfDv4aE2Mxrhyo42mvN8x5mByzICdaMNRh4uLefIlkY2JhJc0N7KrOot05oohNg2ac3NtJxxJmX33I3t6KOGezhCCCGEEGIIyF8atzLhmd+ghyPDPYy84t7ggIJmusFIbNLu+D+fifROiYHQUFi264HM+2jOcA9FCCGEEEKI74xwh4dnjv8/djj5SKacdASWIgcTjtgPZ3Xvk8qEEEIIIYQQYrCtfOuz4R5CnzYsbIdjer79onvn8fCVu3Dt40s5Zo/K9PUr6/2c+MdZeIKFNW8NhmKMePOEsMZjxUccAwpuYozBitJDB0e829TyOkJsJJzVZPZKt7at1QQYj63PoNlXtOMmxtmM5ms6eC8VqFpBgL0LDGKpPXSTWVCIpG47g1HMSbWmlWJiAjbm4s27HkACWEWQVQSZhpMJ2NO3fZ9qFuNPX94fF8dRRRSNf7EuazvjsOHIOIy/LLXe1H60mQGEyQ2+BEnwJs1sJMxp1ACwliAvUE+4W5yuUlF5KU/bl6Io6faiv3u79kch7SiXOpw8HQywKZFgckbIpNOjpeUcbbGiKApRXSeo67wdDvFwwM/Dga799w8/PFxazvestvR1O5hMjFNV6jIm3K9IxDkzI9Az2WAkoOs0aglOs9o5MmP94fTfjKadTtekmmh6Y8oIADqVwW/YEX17POArOGR2icNJYyLBmxmBrO5BnDfDIfy6xlNllTnrD5WqjNCNV9Mo7hbC0XSd77c1Y0FhUSxGOM/nZ/eQGUBTIsHYPO1UXk1j524B0z9uRsisU+eoNvUj9DeS1SfifBONcqzVhqXAhsOhEko1TgZ0nYiup8ej6Tp/8nmoi8d5PyOweJbNjkoy6ORSVK7xdLAyHuMiu5OLHU4MW/jx+DQt3WZ5us3e43I/sDu4xtMBwHvhUDpo9qOOtvQy/3D13bC5pdzm9aRDZreVuDjL5uCLSJgPI2H+XFKas7xVUTjMYuWZYIBGbdt4nwghhpfW4ab1wouwHHwQ9pNORLHZMO+6C8btt886UYUQQgghhNg6SdBsK9N+7z+Gewg9Cs1diHVaNUp7S98Lp+hAqGIK4c9H/pkmxcgUt9n5ZvSOrJGQmRBCCCGEEMNi+fSPWD79IwAUVWXa6UdzwLWXMGa/3YZ5ZEIIIYQQQojvgqYFy1j633eHexh9WvPpQlou3JfKCnfObW3eKNPGOvhsUTtnHdLVLqHrOj/955KskFlP7SCDwYbKDxjF57TnDZqtJ4wVlXtZSwiNHXFyFqPzbms92aEDAwrjyA71mMkOM2wgzOnUMAs3sV4eZRidb/ESRcdBV/vOG7QwFhvV9N5kEyLB/d3CXZ3GYOVIKnBixIyabm/rIEYHsV63m2kJ/qygmRUDN7M9TYRxYMSJER2dW1mVs6414zHF0FiVam3rT9DMS4xoxj5UgBKM+EkQR2c+XhSSYbRlGa1wne5zlXFqL5PxOz0Z7Fr38bK+28EmGU382O7g38Hc+1xfU5s1IdWsKPyuqITGRIJ2LYEGaCRDJFHgJx1tPFRaztEZYTGrqkJG0KwuFTgxAjsYTbxeUYVRUdB0HXUETX6dHUueaPanjiL2NJvZ32zJCfvkE+6lXUgMvYiuc7M3GUa1KQozqmpYHIvxQTjM7mYzp1ptOZOsGxMJ9jCZGWUw4FJVngsGeKNbSMvTQwPfUJkbSzY4TTOaKOo23kWxKCd0a9vbzWTiDJuD3U1m/LrGee257YkA13jaebGsMmcfdA+ZPVpazjGbGfpcHIvyQigZ2Lwyo8VppIvpOie3NrM6HqfSkOwNO8lqo9Zg5D6fhyZdZxeTif+WV2Edxs+sqSYTxYqCV9e5yePmdlcpbk3jhNYmNnYL9r1SXsne3Ron/9NH2+VQ+5PXjQmIAbcUGGpcEE9+52+Kx1ka7/qZaFSe8ORw6WzrnGY08UN78meEI6w2jsjzfmrXEjzo9/F86vs3XwvoQLQkEpSp6hYPDwohRpbIF18S+eLL9GXTjtNwXvRjHGecjmKVllEhhBBCiK3VyPkNWBSk+MzTCX3+1XAPIz9dJ1Y5AXM/gmaJqXsT/kRCZqL/dB2adt2bWUsb8c9cNNzDEUIIIYQQQgC6prHk5XdZ8vK7HHLDFRxxyy/krIVCCCGEEEKIIVW+wyTGHbwXdV+M/BPSzfrQyIlnZ18XjCSoPP89TtirkrfmtKBNPyl92+qGIB8uyJ7gb0Eljp5uDJuIjTpCebqrCncSFYzHgQMjdgx8QP7QAMAdrE73Xi3BzyK87Exu81IzkazL47DmBMvaiWZdDqMRRKMWK+vIbcfpbhE+DiW7WeRB6hiLlR1xoqKwC8XYM4JbyfuNEexhj60mxF7EqU2F4qbhZBPh9B6uJ4y/gL1d1MNh+MwQXPcoyZ4UcQLV6XBbcjxBYuiUYGQUFgpRT5j3SR6vVYGfM4ESjKioaGjczVp8JJiXp51tvMHAJ5U1fU4Y13U9J3xSayhs6sEfi11c7Cjig0iI+kQCBTghTyAHYILRyGvdWtVius5V7nbeDIe4pKONIy3JaN7aRBxXRquXCvzcWcQ5dgdfRSLc4HXzoN/Hz4uKR1TIbE08xsJYMtBwlt3OpH5M/p8eym1CE1tOIiPoN8lgpEw1cIjFwCGWrvf59FCQzyJhdjOZcaoqv3C3pwPDFuj2SZn0r9ItF8r5i9edbgu8ylmU9T681evmoYwmQYD/lJZzeKp1sNO7FVWc3Jr81J9kMLKd0ch7kTAzo1FWxOO9Nh2+XF7JvubCPtt6syTWFQT+u9/L96xWRhf4mTScfuVuZ3Eq0NTZjPfPbvt8YSxGfSLer8+GwWZTVH5TVML1XjfPhQJ8EAnRkhGINACjDQbucpXlhMyG24Z4nOdDQcwkQ3x9hXhtikIo9d6eEQlzt9+3BUZJD/2wvVubSAbg9jL33ub6XjjETzrasn7uuL3ENYB7zPY3n4f3w2GmGo3cV9p32HxrENV1GhIJxhkMclxDiM0QW7KUjl//Bt9D/6LiP09gmjRxuIckhBBCCCEGYOT/ZUVkKT73TKJr19Fx9wPDPZS8QotXYjLoBf/CHQ8VfuY/IaIlpawZvyPBaAKvJ0D9xxIwE0IIIYQQYqT6/M8PstNZx1O9yw7DPRQhhBBCCCHENsxoMXPu6w/x78MvoGn+suEeTq/mv/ItR582CbO5qxnDbEweU3trTu6JHO/83+r0v22ohNAIo2FNhc0ALmQsz7CRlQw8cPIGrVyPC1MqCJbopU2sezjqI9poIoodlT0oSbdx7U4Js/GklxuPjWYiVGJGSU2nznc/i/FxDqO5k9V5OtVyfUY7NZhpzAitbSDMBsIAvE0LlzGOURkBr9F5AltVmGkmigMD1Rm3F2HkNGrSl2NoPMnG9PbzGYeVgyntc+wGFI6gjI9ppwIjJ1CNsVsYbxnJwMFk7On91puZdPA2Xa+l7XBQStcE9Iepw9dDUO4Uq437C5wo/nwomA5HAMyrHtXL0tkURWGC0cilxoG1DpkUhftdZRjc7UwPh/gokv1cdO6lu0pKOcFm56iWxnSz2d/8Xn7kcFJSQFvYlvJiMPne3dtk7leQxKtp3OJLvsdOs9kpGkGP6bvCrqocaLbwVTRCq5Z8jUV1HRPJ1/nroSA/c7cD8GJGKLDzk697yGya0cRrFVu2ueqJjFBTWeo1tCQW5bhuQVKAb6pGUWUw5Fw/zWRmT7OFGdEIaxJxXq+oYqdUa9njAT+3u7I/D2tUA41agqudxYMSMgM4w2Ynouvc7ffSomnc4fNyj6us7xWH2bsZbXYnW23sajLzZ58nZ7nICGgvvMDh5KVQgHmxWFbI7J+uMk4qoAFzuNzodQMQBe4s6fu7+R8lZVzsbgOS74+vo13v1KF8Z/b3GdYzXhOj1Nz3ZeZyjwf86Z/ffuks4gK7k8o87+X+Wh2Pc31xCf/w5wbXt1Y/d7fzdjiEBagyGLCgYFYUTAoYU/82kmxdNQHG1GVVUTjMYuW0EfxeEGI4xFevxn3Ln6j89+PDPRQhhBBCCDEAEjTbCpX/7lrim+rxvfjKcA8lR6K1De2QPTGsnF/Q8lok2vdCQqTMr5rCyo9G/hlJhRBCCCGEEEmLnn9LgmZCiO8mRUn+JwZG9p0QQoh+srqKOf/dx3ji4PNoX7V+uIfTo3gozOyvqjjo8Pr0dUaDysNX7sJl/1jIj79Xi653ndBx9gp3erlRWFiTavkKp6YL21OhpJ7as/pjBh0cSnn6vpop7BheOzE+JxmkeJdWzmU0O+CkGgsGSEeaFuOnmSh7UMIUHMTRckJrAPPxcjBlHEMVb5EbdMjHgSHrvrr7Bg/fzwiaKSj8msnMx8OXdFCKiR9Si42+J12bULmEcSzAyys0Zt22M05cmNmLkoJCYQCHUcFh9Nxe1NmkNhcvZlSOoAIL+QNF8/HyTipkNhUHo7CyFyXp25fioynP87qn0cSrFVUFn0i0KZHgN56O9OUPKqop62WS+1AwKgr3uMrYwe9jQyJBFJ1XUkEeHTjEbOHTaIRfZoyzk1vThjVotjYe4/VQiFNsdl4LBflnINmWs2cfjTTdLYx1PZcX252DOkZRuKOtVr6KRmjSNH7lbuflVHNSArLCsgaSQa6zbQ72MZvx6jo+TaNN09jTbOZgs2VY2nN2N5uZFU2+ls5uz99meaLVxoN9hFAPtSSDZgB/SAV7AL6MZgdBNV2nMRXK8+v5vgUGRlUUznc48es6t/o8rIiN/BMe67qe7u78gc3GXa7kPj7cYuW37nY2JeI0pMJE00z9+3wYKo+VVvBJJMyyeIyArvNLZzE1gxBYGiqr4rF0GPlXzmLsBXz2H2WzYfcoBHWdd7oFmYcy7tffbXc24AGcaXf0uNzLoSBfpd6bH1VWs90gNuPdXOxiVjTCI1uwhXEorYvHeTsV/oyQvY8L8UooyCSDkd36+X0uxLYu/NHHJNraMZSP/AC4EGIrJcfjNo/sOyFELyRothVSFIXqu28nXt9A6IsZwz2cHN7ZSyjZeRLqxjW9LqfrOomO3LMxCZGPrkNrQ/4/bgshhBBCCCFGprmPvsTBv/k/LMUy4UkIIYQQQggxtJzVFVzw/uM8ftC5+OoLCygNh//c9TYfrJnI6NoOmj1RfnXqJJ7/rJ5//3J37nltDUs3+NlxXLLpqbbMztw1yZaINYRyttXZQBbNG9nqn4ZUQ1cjEUKbsb3nqOcSxjIWG79gIvezjhg6U3BwMGUYUJiPl49pJZLnfjzE8RBnX1yUYuQZ6vPcSzYDCjeyPesI8hUdxNBYm9pfJRjZH1fOOg4MHEgZBzKwCY+7UkwVFl6knnZilGLiDEYVFDB7l2bm4eVUqtmB3lu9vk81JlpYhI+vcbMEPydQxVS6fs/W0fGT4F1a0IEpODib0emx6Oj8ldU5+/vp0goOtFgwFjipyKdp/F9HW3rCeqftTYM3ab0/jIrCz4uK05d/U1TMDR4370fCfB7t3hXVZXY0wnjj8EyTWBCLclKqKerOjAaYyQYjF/YzLLZ7RvDk+23NrK+pHZag0nfdBXYn9/p8uHWNl1JhxwjZE3F+6ijiMqcTp6JiGmHP0b9Ky9m9qaHXZfoKmQFc4Sjidl/yNf1yRnvbD7q1+6iKQrGi4NV1agc5oBTVdaan7vtwi7WPpYffzGhXWPTXRV2hYIuicKbDmQ70HjJIrW+DodJg6DXUNNKUKl3Bssn9+NzvvuRxFmtO6GywdH4i9Ddoti7RFWWt7CFAVxePp4Of1xUVD2rIDKDGYODkbajB6+lgsuGxRjXw1xIXLlUlouvESH6+xFP/j6WuS/5fR9NJN4x+EAlJ0EyI7uJxfA89jOv63w33SIQQQgghRD9J0GwrpZjNjHriYTYcfxqxVauHezhZ9HAY39o2ikePRmnp+eCPNm0vYp/M3oIjE1srXYclux5Ex8fSZiaEEEIIIcTWJNDcxqsX/Jqz/ns/6jBN4hJCCCGEEEJ8d7gmjOGH7zzKE4f8kIjHN9zDyfExrckg1P82pK8zG1Wu+v4ETrt1Di6HiR1qk2ETXdepiY9FobHHycem1PTkdja/XV8YlAABAABJREFUuUUj2Z71GHXEBqmzoxgT1zMlfTmBjgq82q0JLJMJBWeqWWwKTq5iAg+xnmhqTFOxs4xg1jorCHIzKzCiEEfHhMKPqGUi9oKbxQaiBgtXMZEQCayoBd3XLNzMwA3AczRQQzuXM77H5Z0Y+QGj2I1i3qQJN3Gep56pOJiInXl48RAnmNHndgY16bHMxs2beZrh+htKCmgaOzXlHve93zVymglGGYz8q7Scf/p9rEvEadM0Fsai/NxZzPJ4jGeCAQC+P0yT4mO6ng6ZZbrCUcTvikvyrNG7A5qz30cRYORHa7Y9ZkXh8bJybvK4qUvEOdxiZXezmTnRKHuZzVxkd2IYYeGyTGWqgbpRYxjXsDHr+l87i7nI4cTZRwOUV9P4naeDTyNhLCRfh5nyhZKqVAPeRHxQQy/r4nGudLexKB7DisJFjpF/0qv/hpKfSRMMRkYZkn833ZSIc2hL9vf+1hTsGklCusZZ7cmWz1JF5XvWwj8hT7baeDoVWlSB82z2ERc0+yYVqB5vMOTtOe3QElzU0Ypf19nbZOYKR+/B9u+6sK7zYjD5nP+lxMWRVlu/1u8MmsXyPJGtiQQ3et2EdJ2HSsuxjuDvBCGGiu/BhzDvvhv2E08Y7qEIIYQQQoh+kFleWzGDq4TRzz7BhmNPRutwD/dwsiTa2vGaTBSXVYK7DRQFJaNWXB81Du+MBcM4QrG1iDmKWDh2J5ZJyEwIIYQQQoit0vLpH3Hf5KOxV5aSiMTQNQ0UhXGH7MXel51Dze7ThnuIQgghhBBCiG1I9S47cO7rD/HUUT8mEd38ANZgaSfKp7TnXP+bfy9FVeGV3+/FqfuPSl//zcxaQvPm9TrxeAxWHmY9DTlT+/svgU4jkQGHzCow0ZoKvL1MA3tQwkGUEkPHlgphGVDQ+9j+VJzppjaAMsxcwySm08gSAjkhs0zx1LZj6DxHfVbIbSjZKLyVJ96tVayxwOduCg5+ygQ+pY0v6WAZAZYRyFnuIEqxYkBD4xZW5d3WqgE0X52dmqzffTvmETZZ2tCt5azTC8EAz6T213XuDu4t3fIBuTtSk9A7PVZaznZGIxMHELaJ6Tpuveu19AObXSauD6O9zRbeqqzOuu7SrSwb9J/Sci7saGMfk5lbS0rZoYCmQl3XObylkVat67VogHTs1QLUGrKnJMV0Pd3EtN0gnpTqio42FseT30EPlZZROchtaYPtUb+PF1JBpsucXaG4NfF4zrfkyf0MvIiki9rbWBlPvtZuK3FhU3oPTWa6qdjFwniMpbEYt5WUDmlYNB0068ePXwFN40F/8oQKx1pteb/Tr/e4WRmPowIPlJYN+mN4OxTiDp+HKDrjDUZKVRWHonCU1cYxW+Fr9s1QELeuUWswcGQ/GxE/zQghbt/tc212NMJPO9poSn1OPhP0c4mE/sR3kabR9pPL8f4/e3cd50h9/3H8NTNxW9c7TuDuOOBwKO4OxYo7xUopLdBSgQr82tIWWipIoVTwooUCxd05XA67O85lfbNxGfn9sdlsssnq7V529z7Px4MHm2Qy+WYykUu+73lvNhdUDSudAgsUTcW50054Tzwex1ZblXqUQgghhBCiDwmaTXCOmdOp+tEltF52RamHUsBoaqYz50BqWm0NjulTcdp1IsvbsZLr/qOXmLwsC9ZsvRPvfLSc2Gsflno4QgghhBBCiHXQtWINXSvyj3ze+ukiPr7zUU5//jam7rR1iUYmhBBCCCGEmIym77EDO3//m7z+u1tKPZSsT+htWDuf6dTi4A8sIYaBacLN16xm7axKtvn6TBwuhaeveZWNBukn+pDRa23bCDfNmdDTLDxsRYD36WI1CabgYhO8bIKHDlI8WKSRrCunVa0LnZdo51U6MDJT5qtxUIaNE2nkEGp4ny6aSWWvo9Dd5uHHRhITZ07YzIXGcTTyGp08T9uQ7s90xuck550p55k+92EpMWYyeMuWA5UdKecrYnkBtWrsHE4d9bjQgLfpLLgNgN+XVXDCCJpxLg128HG69/EdbhvaePANt4fLujrRgYcTMa62KtZ7MOtv0Uj278eqatna4RjRem6LRvhFKJg9fUtFFQdPwEn9YnzZx+VmRcPUYV1nka7nhcx+FSgnZJr8PhIC4G8VVQXXWW7o6IBHUWhQRycMZllW3vN5uE1EpfDLnODpce7e1+V5mYCfA0jRHehVJ9jr7XjwYSrFG5nGrwOcLg4dZpOlS1V5rLo3PPraGLWZQW6j2dCTZssMPfsp4CJfYbgawJnZb2pUddSeaz10y+JnoU7aTRMTWJlz0PF747EJ+Tnhzkzr6clu77BCeS2Gwc+6OgHY2eHg6Jx9bame5sT2VtJAmaLQZVncGAlzqseXfXyE2KBYFunPPi84O/35F0TuuZeaW/+Ja++9SjAwIYQQQgjRn6EfskWMW96D9i/1EIbEaGkl/s4HBN/4BH31msGvIDZIpqrRPG8HXqzbnJdf+IhYe7DUQxJCCCGEEEKMkXQ0xn1HfYdoa+FR/YcrFYlipFKDLyiEEEIIIYTYIGz2jQNKPYQ8DTizf9/Mcr4kSozeibk76D5av1jOs394icd//SKmruNCYxfKx3xsKlCLAzUz3TmEzpb4OZON+CmzOZON2INKkhjZkJlCd2iqR7HuOCNn0nQbKb4ixqeE2YkKvs0MzmQqG+FiO/zZJV+hg2TOdsk1Cw9nMIXjaWBbik+sBgigcSJThrEF1h8VlaPIbz5aQXzI1/+KaDZk5kTFiUobaW5jFf9iBb9mMU/QSm4nzn8rq1nRMHVEIbMn43Huj/e2yP22rHzCTR4HsCsKL9fUZ0//KNiBPpz6mHXUZeY32Y00ZDZt7aq8kBkgITNRMpvkNPc8VlXLGV4fqcxrzz5OV9HA19pMIMU/Sq8jIdNkv9Zm3kt3fye4xQgaAte3+aneoPD9lTV5zZAVqsZ+Tlc2hj3xXm3Hh7ti3cHe6ZrGjUUCj8M1lo9Dz8M/nHek5pxg12OJGFaR97PvZwJozabJM6MclPtCT9OaCZld7i/jT2UV2ctcKBPuc8Kn6RTvp1PYgROH+FlpjaFzVFsLu7c0sdwwqFNVbqmozrvvaav38/Euju5/B7SZJh/IbxhCFEomaTv7XNKLvxqV1ZnxOGZs6P/GEkIIIYQQxUmj2QRmdHTS9J1LMJpbSj0UIdZZ2h9g5cZb8umnywm/tKDUwxFCCCGEEEKsJ5GmVv658/Hsftm3mHfioTh8XqIt7bQsWEh4bSvpaBx/Yy01W8yifMbU/B9r4wk+ve8J3rvlfla9+QGKpjFzn52Ye/T+NO64JbXz5mB3D9wAIIQQQgghhJhc1ry3gOcv+yOhVYWtW6U0Bx97UMmrdB9o4006s5ftTgWOPscHDZLmzyzNnlaAOhw0MfqTU03gPtbyTTbCgUILKZ6jDTsqMQxiGHxGmNyojAW8T3drjTsTeAqi5633m0ylhRQqCmtJ8C5dvEcX21AGwAw8nM00ABpx00KS2fgIYGcZMdpIkcJkKXEWER3y/anGgW0cT8/fmgAv00FnZvrxdpntMRTzCPA+IVaTIIlJLQ50LDpI5zXE9TjY6WI758j+Xfx0Is63gu3Z08e5PZzi8Y1oXePBRjYbN5RXcmGwg/8m4mwdi3C2179ebvuMjt6GuUOGGQzrMk22bC48iOtMzcZj1bXrPDYhRkpTFKZpGisMg8PbW9hEs/GV0f0+sGM/Ycot7Q6cdIdfHk/EOdjlxjaMUMr8VBLdstg1E9q4MRJmceY293G6+L9A+Trdp/Xh/I7u19X9HE52djrzLrMsi+dzQkGj20M1dizLGlfhop5PI5vZ7KPSXukYw88UvY1mQ7ejw8lODgfzUyl+0hXk6USCq8sqqNd695hUzhqToxysnqbZ8CkKEcvCqyh83e3hkkyr11Vl5aN6W+tDT5vZQS43NdrQnnW/D4d4PxNwrVNV7qqsoVzN/yw/x27nMn8Zvw138VTmeV2vamw7wrC5EJOdFY/TcuRR+M//Fp5jjsHW2ICl66QWLMBsbsFoa0Ox2dCmbYR9zhy0qvwgsZVMEn/qaaL3P0Di5VfANLHNno374ANx7rgj9s02Q2tsGFfvV0IIIYQQ450EzSawxIcfE3vuxVIPQ4h1tnqrnZj//lISz79X6qEIIYQQQgghSqBzyUoeO/dnPH7B/2H3uEhFYlhG4RHsy2dMoWaL2UTWthJe20K0uR0r56jglmGw5Lk3WPLcGwAomkb13I2pmDkVu9fN3KMPYPNjDkS1ydchQgghhBBCTFYLH3uRJc++XuphFJXKiWr1tFhNw81+VBcs+z5deact4HSmcg1Lxmx87xDMBJm6eD0nCNefFCbTcXMUdVzPsrzLFGA6HqbjAaATD+/SxUoSGFhofSZt75DTjvYBXTxC84jvx3ifOqigcBEzh7RsAoMkJjpW9r8DqWY+QT4jQks/wcMf+Pzs5XSzzQgmM5uWxY+7Orkvp8kM4NryymGva7yZZ+9tOwoo6gBLjp6PUqnsZHSAm4axHVsNg+1b1hac/2x1HZvax39zk5j8cgM4PSEzJ3Cky1N0+XJV5UCXm8cScS4IdnCqx8tvctqQcj0Ui3JxJryys8PBWzktQNM0jSpV44PMc+s3gXJO9U6MIGw6EwB6PpXkos4Ojvd42NXhJGRZ7JTzfP+O1486ASbD3x2LcFlXkK3tdh6rrhv8CuvBXk4XD8VjPJVM8FQm0LgurGHFwIa77vz/D4VfVbmvsoZ/RCP8PtzFi8kEB7Q2cVVZBYe63LybSnF55rmzh8PJ4aPcfBlQVapVjYih02WZeQ2hox1qG2th0+S/mc87pw2xzazZMHgkc53flZVzjNuLs5/n6rd9fqZrGr8IBWkxTa4IlPW7rBACzM4gXb+9mq7fXYPi84GuY8WLN5PZt9gCra4Wo7kFo7UVs60N+rQI64sWEV60iHDmtFJWlgmpVaKWleE5/licO+8s4TMhhBBCiH7IzKoJLPnp56UeghDrbM1WX+PlFz4q9TCEEEIIIYQQ44CZTpPsSvd7eXDZaoLLVg95fZZh0PrpIlo/XQTAp/c9wXPTp3DgtT9m82MOWufxCiFEfxS1+z8xMrLthBBCrIumDz4r9RCK0jGZTzDvvI3xcCz1KEWiUbPw8kqm/Qxgf6rp6tMYNtqm4eIl2gvOd6DkNWPknr8L5XxGBLPPZRZwJQtRgGrs2ZG7UAtCZj0i6DxC87Day4rZmsA6XX+kXqGdF2hnB8o4jNqij+tgDCxWkWAxURYSKdpSNpB3ahuoG2IbRzGWZTGjqfDf3Uvqp4x4nePJi5lGkVmajSPcxYMwo+3w9pbs389U1w05OPK7UBd/jYbzzjvE5eZin19CZmLc+EmgjHM623EAf62oolxV2UjTaND6n4p0gsfLY4nuSeN3xaL9Bs2+39UbeM4NmQGsMAxWGAYO4LJA2YQJmQGUKSohq/sAWw8nYjyciHGe10e7aRLLhHQ21mz8ODD0tstSeTOZ4LKuIAAfpdOETRO/Wvp/0B/lcvOsy83/EnH+EO5a56DZcN7PTdNEHcY26AlmDfcTnqoonOfzs5fTxSXBDhboaS4MduQtE1AU/lBeMeoBijWGzrJMsPQgpxtvzv29PBScUM/HJxPx7PNunn1o4fxO08w+Xrs7XIMGxw51e9je4aTFNNhyiLchxAbPsrDC4QEXSX/6KelPPx3earu6SL3zTvZ09L77sW++GeU//xmuvfYc0VCFEKUnv8etG9l2QoiBSNBsArNiscEXEmKcWxYubCkQQgghhBBCiLHStXw1Dxz7Pfb+5ffY6+ffKfVwhBBCCCGEEKMsFRl/v59ZWNzHmrzzfGh40fg9SziBRuaSPyl3Gm7OYyNuYSUAnxHmwz4tZ6PtWdpIZ9rGanGwliQAKSzsKBxNPZvjJ0iKP7OMFBb3Uti2lMsCWuk9oEgZNhYT5QO6mIOXGCbz8OPHxnyC6xwy86CxZQmCZouI8kImpPcuXbxLF1cyJ3t5TxvKKhKsIE4Kk52owENvKOw9unhsgCY3Dxo2lOx/Gkr2MQL4qq4Re2ay90epFGksdnA4h3wfLMtiep+Q2SW+AJf4SxPcGwuvJ7u3l0NRStIoMneIAbHfh/NDZpf7yzjf5x+rYQkxYge63HxZ34iCgmuIz6k9nS4u8QX4UyQEdDdi7elwMUXT8oKY29odvJdpLLMD15dXsp3DScQyeSQeI2xanOH1MtM2sYKXd1VW82wiDorCtZEQccvilmgke/meDie3VhY2nZaaaVkokA0tPZ+Ic35nfjj91miE742D9wxFUTgoEzSLjkLDljrArn1rJMxV4a68WLhPUdjUZufzdJq9XS5uKq/sN+ylZkJsI92LN7XbeaS6lhsiYa6PhNCBckVlP5eLc7y+AUOfI1Wt9n52ObCtmZ/6x38osj/1OeH8H3d18teKqkGv48/ZIX4f7uL6Qa6zQtdRQEJmQoxT6c8+p/XkUym7/DIC3/l2qYcjhBBCCDGuSNBsAqu46AKizzxP8uMFpR6KECMWbh/bH0WFEEIIIYQQopiXfnEdjdvPY/ahe5V6KEIIIYQQQohRdOStv+XvOx5LtKWwmasUDCyeooVF5AfgIhh8QneQ5F7W5IWSAEysbMgMYE1OoGi0bYmfIGlW0t32VImdc9iIX7E4u8yJNLIJXgDKceBEJVnQYza4ZlLcRXeY6VO6J9Z/RpizmcY8/LxNcETrDWDjGOrZCPeImsTWRTNJ7qawBexKFgIwHTfLiRdcnsLkIGqzpz8iNODt/IhNCs67gaW0ZYJ8OzWv4eqKKj5IpbghE1K6p7KaaZqNV1IJDnS6qVBVbP1Mdn81lb+P/dAX4LvjIDAwmgKZIN5neprrwyG+4/MPuWFsfXkjmeD6SG/I7NGqWrZxyOR0MX65R3AI/At8/mzQrKcRy60obKLZmG2383EqxVeZxqSnq2vZLC+gofGDCRxsmWm3c14mdHqu18f3uzr5TzxGo6pxlNvDxf4A9nH2ujQ/leSbHW1ELIsd7Q4UBd7OtMw1qBpz7XZeTCZ4NhkfF0EzgKrM633IHP5nir5y93DdNLkvHmOprnNLLFJ0+YhlZUOSTyTiTG9azYqGqUWX7Xmk1+UxtysKl/gDHOf20JppzervvX40OBSFHe0O3kmnMIBfhifunJ89nS6uCpTz01CQ/yXi/MY0KR+kkW6KZqNaVWkzzWxTao8u0+QrPc22dgctpsk5nW18lO7+nHa828MfyivH7L4IIdaBZdF11W+wz9oE90EHlno0QgghhBDjhpQeTmCqy0XD7bfgPXC/Ug9FiBGxLOha21bqYQghhBBCCCE2UE9+91cY6fTgCwohhBBCCCEmjLJpjZzy1D+YvtfXSj0UAN6ni3eG0ET2KeG8052M/r9VfGjsTgVb9GlPm4KLM5hKWeYYpa2keJ3O7OUqZENmPQKjeDzTlSSIY1CHk5NoxDaCoFgInVtZxQeDhLXGwmoSA15eLGQGUEN+29g3qM8+Bn23QC3Fg0ZtOftJG3B2Z3s2ZAZwUkcbu7U2cVlXkO1b1jKnaTX7tDRxTkcbH6V6+1dW6TqndvT+ZvdiTd2kC5kB/K6sghPdHgB+Hwkxo2k1LyUGfvzWxfXh3v3xQKdr0OUNy+InmdBNQFGYX1svITMxKTkVhRvKK/m6y80cmw07ELcsFuhpHo7HsiGzXR1O5k6wxrLhUBSF35VV8M+KKl6sreMngbIhN8OtL1HT5PvBDiKZZrB30qlsyGwfp4sHqmo40NX9+vb5OPqe9ZnMa/tobM/cNcxtXsNloWBByMwOVKsqgX5ury2zT/fVM2nPXPfiNababGzrcI5pyKzHn8orOcbt4VSPl11z2lMbctrOJopTPN7sp6ytmtfwj2i432Uty6LDNEhnng/HuHs/H1/Y2c6WzWs4qr2VK0JBzu/oDZkB3B+Psbqf/UAIMT50/OQyzFjxf7sJIYQQQmyIpNFsgrNPnULj3f+i40830P6b35d6OEIMS3zKRugft5Z6GEIIIYQQQogNVOeSlXx0x3/Z7uzjSj0UIYQQQgghxChq2HZzznjxDl742Z957Tc3l3QsG+Ee0nIfEmIL/NnT5Yz+xPoZeNiPanQsOljJ2kxL2lt0sh1leQGvF+hthKsoMpYpuGile6J5FXbaSaMCh1DD4wz/t59XaOcgapmBh1OYwseEcKGiorApPmpxcBPL6MIYcD0v0c52BNZrq9mm+IDmYV9vVp/wXjl2LmFjAG5iOc2Zx0dD4RymFVx/aZ+WvF0dTt5IJbEBZ3h9LEynC1rKdOArQ+crQ+eZZIIzPT42t9v5UVdvsNCtKGwySYMdLkXhmvJKtnM4s/f59M62fptm1tXvI71BszO9vgGWhEXpNGd0trHKMHArCi/W1FOjTbwJ+0IM1RFuD0dkgp+6ZbHc0Fms6yzS0yzSdVKWxa8D5SjjLHg12pyKwgGuoX1WKIVrwiFWGt3vvbs6nLSaBrNsdi70+dky0zS3G91BsxSwXNeZbivtVLRmw+CeTBDsWLeXR+Mx9nS6Bm2q6k/K6k2BpXLOtwEnebz8n78MW591r9V1Wk2Tr7e3APDLUBfXVVQVrLtn77YYhaTZejTNZuNPmXauNsNgu5a1AFw6AUPqTaaBhgKZx+CXoS5+Geriez4/naZJi2HQapq0mAathpHXMXyku/u5u0rXeTTRG065LRZldpHnwePxOOf5/AXnCyHGB7O5hcg//0nguxeWeihCCCGEEOOCBM0micpLLsQyDTp+98dSD0WIIWuu3QhG8GOjEEIIIYQQQoyWV399E9uccTRqiSdACCGEEEIIIUaXoijsd9UlOLxuXvjpn0o2jnqc7EjZoK1mDX3arTQUTmcqd7BqWLdXjT2v5SrXAsK0kmQL/CRyAltBdH7PV6SxUIHN8QEKCzIta/MonBC7G5V8mGkPa8/c3qb4cDJ4MMaNQrzPhOpPiXAQtQDMxMNMPHmXt5McNGQGEEbHhCGMYvR40ZiNh0V9gl8DOZHGflvhnqE1GzID+Bmzigbnbs/ZN56urmEzu5MF6RS1qkatpmFZFssNgw7TYLbNTtSySFgWb6eSXJoJWd3Wp5EF4KO6xiHfj4nqRI83L1w3Fm6L5m/b3ftpNHsuEeeszva88071eCVkJjYotkzAdRObnYOGGNAWY2+pns6+T9xVWc2e/byOTc95vfpNuIu/FQlUrW89nzJuyrRT2YHHqmvZ3O6gyTD4eyTMEqM70Li13cEPfH6+0HVeSyVYZRg8lYhTrqrMszs4yNF7v491ezja5WZjm50pA3yf3GCzMT8WzZ7+byLO70wTgFsz23QTm53FevdnqGThKiaMak3jvspq2k2Tw8ZxaLI/C9N6wedSgOsi/TebVaoqW9sdbJ4JWyaLXH+RruMFojnn/TncxU4OJ1tLW6kQ41boxpvwnXYqanl5qYcihBBCCFFyMotqEqn6wUUYTS103XZXqYcixJAsb+7/ixkhhBBCCCGEWB+Cy1bzxX+fY/NjDy71UIQQQgghhBBjYI/LzycVjZe02exQarGj8gb9B1vm9Gm3AtgYD99lBiuIowA1OLiHNUQGCFztQgWP0dLv5c2kaM5pKwugEcIgjUUAG4dTx+zMWHqCZrEit1eDg20J8AG9jU0V2GgZwlTpYqMPoWNiofbTRPZZ3jTdgcXQ8Y9yI9zHhPiQLqbjYXcqM80X3ZYQy4bMHPS2nfR2YxSa0U+Q4ksiefvJJcwsGjIL9QkTbmbvDirOs/dOXFYUhRk2GzMyUwJ64oIzbDa+5nDyZirJF+k0X+pp3sg0n31W14hrkrcH9fi2189N0TAbjUGgK2VZ/CIUzJ6eX1tfdLlrw138JWciuwLcVF7JwRNwov6Gos0wOKOzjU/Sac70+Pi/QBkm8E4qxXeC7UzXbFxTXsGsSdoKKDYsnaaZfR/b3eHsd7kf5wR3n8xpdSqVOk3j+vIqvhdsz34qSQPXh0M8nkwULP9qKskN0cK5K82myZe6zn/ivUHyP2ZavIbitT6tonOb1/S77ER/592lnxDiROBWi2/9bex29nS6qFU1alSNWk3N/F8r+Ky0ic3O09W1fD/Yyad672e0nk+vszQbVarC/HSakzpaubWymp0GeE4JIUrHCoWI3HEnge99t9RDEUIIIYQoOQmaTTJVP/sR4YcfxewKDb6wECVkWdD0xdJSD0MIIYQQQgghmH/dnRI0E0KMKkVRUPqZqCIGp2wgk5uFEEKsP3tf8R0+vfdxOpesXK+3G8PgTTppJ0UzSdyoxDELlrOhUE3xZoMqHFTlXHYhM7iZ5QTRC5adhYftKGMaHiKkacTNU7TkhcH62oVKmklSjYOvUY4DtWCZVlLEMXD36Qk7nFq+IJK9TxU4WM7gE8xTReJXfjRSmLj66SLbDB/P0zbougGeo42jqC8a0BouE4tnaeVNggAsIY4PG9tTll3mw5y2ulTOdfsLmQFF76eBxT30TkL/NtMp6ycw9yBrs3/fOIxJ7z1m2GzM2MCbvQ93u7kpGiZlDfRIjcyinEnm9apGg1a4reenknkhs5/4A3zL60eTz8Lj2vvpFJ+kux/f22IRXk8lCJomrZmmolYzxWfp9IQMmrUZBleEglSpGr8sKy/1cMQ4sKXdgVdRiFoWn+npvDAzQNA0OaC1iWaz8LNNqR3idvOqo4GP0yk+Taf5U6R4yKw/laqKg+6wWc+7hHeIr89PxGPcEAmzQC/eMAv5YfSAonCSp/CAA2L96Hlca1WV7/sD/KQrCEDEsrjUXzbANfNtZnfwSHUtf4mEeCgeY7XRfWiFjTSN52vqiFoWZ3e282YqyWntbfy9soq9JnBAT4jJLPzPW/F/6zwUpwRChZgI5Pe4dSO/xwkhBlL4S4GY0LSyMsrOOr3UwxBiUIoCU7bYpNTDEEIIIYQQQghWvPouaz/4rNTDEEIIIYQQQowRzeFgz59fsN5v9x2CvEoHnxGhnXTRkBnAPlT1G7Dqy4XGOUxjDwrDRR40ukjzPl10YeBA4VBqOZVGyvo5/qiGwlHUszuVBSGzntPLiHMzyzH7RKdUVE5javb047RkW9AcKP3eZjHVOIuG3Hovd3AlcziYmkHX9RHhAVvfhqqNJH9kSTZk1uPjPsG9NQx94jrANIpPKv4Vi7J/70gZdfQ/sTF3T5qmyk/+I+HMBBGTo58zY/OckFGTWXxfPK69Nfv3s9V1XOALSMhsArghkv/8X6Tr2ZBZj8MmYCPdV3qaA9qaeSwR57ZYhGvDXYNfSUx6dkXJti69lsxv59JNk+2b1xSEzKaoGmuNwjB8KdRrGge63Jzj9RX0iF5XXsE7NfUsrGvkkaoa9nY4OdLl5uO6RlY0TOXDukbermtkUV0j/6ms4fryCt6sbRjw9l5NJpi2dhXnBzvyQma/L6vg6epaTnJ7Oc3j5a3aepY3TGVR/RQ+qmtgQf0UfhooH/0NIIakJ2jWYpoc7HJzntcHwGJdZ5k+vH3ZoSj80F/Gm7UNfCuznjWGwbPJBD5V5fbKavZ1ukhgcXZHG0+PgwZAIUQhs7WV6H8eLvUwhBBCCCFKTr51noT8xxxZ6iEIMSRe38T7kl0IIYQQQggxOb193Z2lHoIQQgghhBBiDG1+3MHY3Ou3NWBzfP12atXiYH+qOZhqdqFiWOv1YWM/qqnq03b1MWH+ynLepJP/0sS/WUMzSd6hi66cBrQybFRnrusfIOCW+0NyFzq/YhG3sJyrWcyvWMTHhArCUAowDTdnM41L2JjyIYbNpuFCHUID2db4h9RT1pnXLTZ8XaS5mRUFgTUV8ORsGQOLNoo3lkzHTUORsNiKPsE0E4vfsjh72o7CYdQNOL61OetYYqx7qG5D5MxMLE+MQaNZR07w4kR3YUuN1ec2N7VPvParDZFlWSwsEjq4vaKKOTkNgd8NdqzPYY2KfVqbac/Zb/8SCZMcg+eGmHh2zwTNXk/1vu98kEqyQ8va7LufR1F4sroWgNWmwe/C/TeploJfVTnX68+eXtEwlaPcXupsNlyqyrYOJ3dU1XB9RRXlfcLbDlVlR6eTI93egsv6ujMayTu9iWbjjZp6TvB42czu4OryCq4qq6Ax03LpVBQq1KEdaECMnUbNRl3msT22vZWtcpr7Vq9DaPJyfxnHuT0YwHc625mfTOJSFG6pqOJQl5sUcH5nOw/Fout4D4QQYyF889+wxmFjpxBCCCHE+iRBs0nIMWc29o1nlnoYQgyqs12OhCaEEEIIIYQYHxbc9wR6ct0mIgohhBBCCCHGL4fXw+xD91qvt1mDk8uZRX2RsFErKZ6jjado4y8sxWD4E/pPoLHgvFTOehYR5R+s5Eu6J7AeRA3fYwYXMYOyTNAs2U/LmoXFvlT1OQ/WkCSOiYHFQzRlW7gU4GuU8QM25iw2ygbQBgqy5Y97aJP43qYLC7ANEjdThhRH699TtKIXeUxM4Gjq6CJNGpP/sLZgGRtwClM4hSl5Ab8eNTjyTt/GqrzH4UdsMuj4cqNlR7k9gy4vCtkyu0gKqyD4ta4qc8II98ajXNTZQTRnourTyd7ARk9zihj/FEVhD0f+63mDqrGPy823c0IsTyTiBCfYxGRPkTa9dQlYiMljd2d3SP/tVIo2w2CLptUc2d5KR+Z1c0+Hky/qp7BFTjjnvVSy6LpKKbQegpNrMg2W29sdrGiYyou19Uy1Db3dVawflmXxcTqVDdM6FYV/V9bQoGos1nUuzISFHZC3Xw+XoihcXVbBAU4XSeCszjY+S6dwKAo3lFdyTCaEdnFXJye1t/JmMjHqn0eEECOnL15M6t33Sj0MIYQQQoiSkqDZJKQoCp69di/1MIQYkGGz07G88Mc3IYQQQgghhCgFPZ5g1VsflnoYQgghhBBCiDE0+9A91/tt2lE5jakF5+dOI+1CZyHDbzOoxcmJRcJm/WkiQSUOVFTcmQBYlOJtWI/QzBO0DnndFt0hsD+whGRmnV8QZiVDm2z+JkEeZC3WIIG76kxIS4EBu9I61qHRzMBiFfF+L/8NS/gTS/kNi/mMSMHlZzGN2XhxoHIJM6nCTllmtLPwcCwN2WUTGKzIua0fswn2Yf6ErxQJiIjBnd7RBnTvu6MdCVIUhelab8jy4USMbwfbSWUmkG+aEzz4tzSZDJtRwon4G9vy2+fO9XY31h3j8XKIyw1Ao6bhn2DPy81sha16ZYpMJxLdr1fVqkrcstiuZS3hnOff97x+7qqqAWCx3tvuuZE2/sJVs3Nedx+Nx0Z9/ct0nY/T3dvgmrLhNdWK9afVMJjetJqvt7Uwu2k1x7a3EDRNZtvtPFRdw2ybDTtwmMvNfVU1g7bYDcamKNxYUcVODgdhy+K0jjaW6Tq2TAjtNI8XG/B6KskJHW3s2trEfq1NvJJMDLpuIcTYS7z0cqmHIIQQQghRUvLN0CSluF2lHoIQA2rdbGvSMflyRAghhBBCCDF+LHvp7VIPQQghhBBCCDGGbCX6/cyLxmVsgmeAdq/3CA4asirmyyJBp63wYy/S6LWU3onV7Zkg1vt0sYgoH9LFspyw24eEhj2WHr/lK37NQt4iOKzrLSDMIzQNuMwW+CnHRhqrSFdYr0doLtpINhTNJAnnBPD6+0G9v7WnMIig00maOAYXMoPzmMalbMzJTMm2vUF+wOlEGrMBwIH8ga+yfwcmWJhlvGg3DBbq3XvQuV4f2hhsxweqajnL42MTzYYGvJRMMqtpNd/ubGev1ubschFpLxmyoGkybe0qZjat5uJM48z69j2fP+/V9SxPbyPdm8nuYO3ZY7RPjaX30oXhXOcEuw9ibCiKwjZ9Wp02tdlYWNfIpYGy7HnPJHpD07dWVq+38Q3VyR4vW2QClS+NQYjnN6EgALs6nMy2FwY3ReklLItD2przzns7lWKr5jW8mkwwRbPxVHUdn9Q1clNFFds7ChuJB7NC17k23MX3Otu5rKuTb3e282Iiwc3lVWxus9Nqmpza0UqzYeBQFK4qq+CVmvrs9VcbBot0ncgEa8UUYrJKvPpqqYcghBBCCFFS4+8wMmJUGB3BUg9BiH4ZThcfLC3Nl/9CCCGEEEII0Z90dPSPZiuEEEIIIYQYP2JtnSW77VZSfI0y1pJkOXESfTqUFhPjNTrZg8phrXc/qvkgJxR2DhsxFTcRdN6kk7cJks5EokIYXMUiDKzsrbeT5m5WZ69/PtOox8X5TOd+1tBBmpHQgWUDtIL1ZwlxLCyUIkG5HtF+ImZOyPanmcAaEkzDPewx1OFkGwLZsN1wp/q+TAdLc+77NNx5rWVXMDt7/1w5MbaVxJlLb2ilmPcJEskJwT1fXTfM0QkAd06A5vu+wJjcRr2mcWVZOQAvJxOc3dFGCng8kf+8OMc78GMuulmWxQGtvUHUh+Ix3kkleaWmfr2GuryqyiFOF08kE/zCX4aaabsxLIug1f1qsbdz4h0U+AS3h/v6tDzdGo3wXf/YPD/ExHK8x8tzOeGsp6tqs/t+j1k5rXjvp5LsOs6eB5qi8E2vj0u7OnkwHuMIl4e9nM5RawV9M9X9CeQA1/i636LX/FSSlkyA6zJ/GQ/Fo3yZCZ2f0tHGioap2BUF+zD3ibBp4ldVfhkK8o9o4QEget73nYBPUVhhGJzU3sp9VTXUaBq3FLnOTdEwW9gdTLfJtE4hSsmKD//fs0IIIYQQk4k0mk1SqQWflnoIQvTrs9nb0blsTamHIYQQQgghhBB52hcuK/UQhBBCCCGEEGNo7bsLSnK7MQz+wUpeooMvieaFzLbGn/07PGBHV3E+bFzBbL7JVC5iJlMzwSofNg6ghovZmB0py8a20jkhs2JepvtAgfU4+S4zqGbdWzl2p4LKIa6ne6z9T/BNY+Lr51iqP2QWJ9HIbLxMwUUNjqLLDUZDoXwdjte6tE/Abg35zSl/ZXn2bzOnF62egZszlhLlUVqypw93uamTCcgjkjuHfH10huzldHFHZTXnen180+Pjl4FynqmuY1H9FH4RKF8PI5j45qdSNGcCArtmWmZWGgandrSt97H0hBBujoZpM4zM+LpDJjagTh28mXC82cpe+Hq5lWNkr6Fi8jnI6eJEtwcAOxSEzJoNgzazNwT9s67gehzd0H3d1Rs+P72zjZui4VFZ71d6mq5MO+W2RZ5LYnzoyryHaMC3fX6erannVznvwW+nksWvOICbI2HeT6ewLKtoyCxXkt4W08WGzokdrbyRTHBbrPd691RWs4fDyUfpNKd0tPJhqrBtUgix/uhLl2HJ81AIIYQQGzD55nmCsyyL1ILPUKsqsTc2ABB/Yz7JBZ+VeGRCFLdi61345Pn3Sz0MIYQQQgghhCiw4tX3sEwTRZXj8ggh1o2i5E9eFcMj204IIcS6Mg2Dte9/SmBqPf6GWgCCy1bx6QNPrbcxNJHkdlYSHyTG8hG9k5z3o3pEt6WgMB1P0cu8aKwmkRNnGtjnRFhDgkZc6Fi0jbDRLNfeVLE/NTxDC28QHHDZOXj7vew1OniONvaligQGBt1HVTWxmIIbGyqb4mPTQVrBBmNiMX+QcfY1AxfL+9nOPmwEc7ZjKylaSFKLk/ac89eQYFO8OCgMqcynkydp7V2nonBjRdWwxih6qTlhxofjMU5bD61iuzpd467hZ6L4LJ3ivpyJ+G/khAFeH0EwYF3t5XTxWCJOq2myXctaZmk2mjIhm+0cDnwT8Hulvfrsm78JlBecJzZciqKwv8vNvfEYaeChWJRveLrfrz9IJTmyvTVv+cWGjmVZo9YWNlo8qsrfK6o4t7MdgN+FQ8y12dnXNfz201zXhrsbUMsVdYMOmt0QCXFNOMT2dgc7OZxsYrOxm9NJo1baqYn/iob5IJXikUyzmDdnvzzD6+PnoSAA/4vH+Zpj4NB/XwnL4sNUiq3tDqpUlfZMmG0zmx2HAp+k00X/JVCNwiJd55ScsPS1ZRVsbLPxauZ9bYVhcER7C42qxo0VlWw/zLEJIdadFY+T+uADnDvtVOqhCCEGIL/HrRvZdkKIgUjQbIJrufRyQnf8G8XtInDyCdinTaXzpn+UelhCFNU8b3tee/6DUg9DCCGEEEIIIYqKdwRpWbCQuq3mlnooQgghhBBCiBEy0mnu2O9MVrz6Lnavh23OPJrKWdN49+Z70eOJwVcwSl6gbdCQWa5jqMfJ2IQT1jC8IEYrKRpxYUfl69TyDl2kMekYYejsE8JsSxmtQ7j+bazix8wqOD9Imufonow7nyA/ZJMRjWUoIhjDeuygext/g3r+Q1PBZTtSxpdEWZHTdPZXlnM5s7iTVdnz3iTIm5mAmx0FPzYacDIXX17IDOCz+inDGp/Id30kVOohiCH6LJ3i4LaWfi/f2r7urYvDdazHy2ybnXM622g2TRYbvW2UO9gnZhBgms3GvyqqeC2Z5Cyvj2nSlij6OMDpolpVaTNN/hOP8Q2PF8OyCkJmPTotk0pl/LX7HeRy80R1LYdmXlfOzITOPqlrpGwEIdF3Ukn+lwkwHep2j7tw3frwz2iYFxKJbEDqvXSK99LdDUAeReHd2oaSBXA7TYMrQ1155+3UJ7A1RdNYbRiErOF3nF7sDxA1TTyKkg2Zneb2cFV5ZXaZ1brOA/EorySTvJvZLjs7nbydTtFi9t5mtaryu1Dh55M1psHRmefZ0vopaBvgPiZEKSVefV2CZkIIIYTYYMm3QxNYavFXhO74NwBWPEHXP28v8YiE6J/hdPHmJ6tLPQwhhBBCCCGEGNCyl9+RoJkQQgghhBAT2IJ7H2fFq+8CkI7GeOfGu0syjmm4WUh0wGVOpBE/NjQU6hk/4YQP6WJL/Kgo7EA5O1AOQAidTlIkMKnBwadEUCAbAOtPT5tXDXYWDXLbcUy6SFNGfnjEjYYCWMBuVIzofg1VABu7UsEbdA75OsfRmNdalmtnKtieMq5jKbGcANtvWEx5kfYygDQWHaTpIM2nRPIuW1rXOORxieIqcia8T9XGXxBiQ2dZFtOb+v9d2YfCCV4vezlc7OUszWvn1g4Hr9Y28HE6xZvJJLfGInSYJlMm8P60v8vN/uvY7CQmL0VRONPj4w+REK+mkgRNkx2a12QvP8ntJYnFQ/EY+zhdVCjjt9lvnt3BX8oruSjYkT1vy+Y1fMvr43J/WUFYzLIskkCHaVCpargUhUXpNFeEgryW06roXocAUNKyWGnobKzZSAMxy+TJRJyYZXGWx4c6TsNFH6VS/F+fIBfAPg4nL6aSxCyLkGXiG+HBFHTLYqGeZo1h8HA8xpupJG2myb5OF4e53BzscuMfIMT2qyJj29eV39ZYoaisxuD9VGpETXxeVSWRExi7Px7jQl+Ahkxgt0FVaVA1VuSEkgOqxjFuDzdFez/jPRqP8XCi96AExRze1sITNXXDGp8QYt0kXnuNsku/X+phCCGEEEKUhATNJrD4G/NLPQQhhmzFZtsRe+79Ug9DCCGEEEIIIQa04J7H2em7p5V6GEIIIYQQQogRWvr8W6UeAgCb4xs0gHUv3RO0r2TOmI7FjkIaa8jLLyXOQzRxBHU4ciYGB7ARyPl5eQ+62xp2pxILiy+JspI4baToIE0NDqbjZjvKANifalQUmkiwmP4n0jaRLAiaOVH5ObNRAIWxn2x9IDWsJs5yClvwtifAHHzMxgMoqJnxLCVWdF0aChoa32YG17Ik7zK96DVAzVyv7+O2rK4RtUStIJNJ7qT4qZpMmRhPVhs6u7QUNgPm+ldlNTuXKGCWy6UofM3h5GsOJ+d6fSwzdDazjaxhLW6ZPJtI8EU6zTk+H5XqxA2sicmrzTSyf+/SspZU5u/NbXauLu8Ogf85p8lpPDva7cGrKJyTaTQD+Fs0wt+iEU5yeznG42G5rnNnLMKH6fwg+TRNY4XRuy22tNs50Onmez7/iMbyTCLOdzrb++2frVE1jnR7RrTusTa7n/bDfVxuXsyE8L7R1spbdQ3DXnfKstintYmVOdu6xwvJBC8kE1ze1cn+LjdHuj3s43Th7BMSeyze+9lsRcPUokGy7/oCfCvYzjJDp9k0qR9BYPj9dCr7dxLYqbUJn6LgQaGlSFPav+OFB6P4T07IbFObjWdr6gH4JJXisPbuBr4F+sjahYUQI5d6733Si7/CPmvsGrWFEEIIIcYr+dZ0AjPjhT9sCDEeGU4XH32wZPAFhRBCCCGEEKLEVr35AbH2TjxVY3uEfCGEEEIIIcTYSMcGbgJYX9bkTBeux8k3qOdVOviEcMGyV7IQgMuZlRfsGoiFRRidAIOHGvRhhMx6LCDMp4SpwE4tDvanhmoc/S6voDAXH3Px9bvMq3TyOp1sirffZaqwswnFJ1OrOQGzzwjThc5OlOedDxAiTQSDRlx9VzEsDbgKgmbV2DmMuoLbBJiJhzOYwu3kNzG9Q5AdKcePjW8xjb+xIntZhN7J05eyMe/SxUu0U46d7zKD37OEWM4yEjJbd8/0aQuZbR9ZMGi0hU2T/8RjbGt3sLWj/+faZGRZFnfFovw0FBx0WY+i9BtsKCWPqrK5OrLH7e1kgu8FO1iTacR5P53i3qoaluhpHo7HONvrp1ye+2IcOMTl5rZYd0AmavV+tniyurZUQ1onB7rcfF7XyGY5zWwA98Sj3FMkCNSjJ2RWr2rcVFHJ9o7hB1/viUX5MJUioCr8LRoZcNkOszCoNF54VJVHqmo4sr017/xf5LyeayM8PsANkVBeyMwBfMPt5Wi3m/mpFI/EY3xl6DyeiPN4Is48m53/VtfiyAmSVagaTabBrg4nCcvitmiEB+JR5tjsbGqz822fnwNzGs7WGvqIgmbXR3o/32uAAUQsi8gQPoOf6fFhWSa354TinqzqfU5t6XDwt/IKvhXsHEf9x0JsQAyD+HPPSdBMCCGEEBuk8fcNnBgy1zZblnoIQgzJmrnbEHv+w1IPQwghhBBCCCGGZNVbHzHnsL1LPQwhhBBCCCHECEzZaWs+e+CpUg+DB1mb/buJJI/SzNHUFw2a9XiYJk6gcUjr/wtLCWb6sKbh5ijqqCwSBEtg4EAhOYKwmQV0kKaDNCF0zmP6sNfRo50UL9LdGvIFUdyoxCmcOO1AxTZI2K6LNPdntu8q4hxNAzYUHqGJDwhllzuVKcwaINQ2kDgGbxEsOP8UphYNmQHEMDABFyqJnPv2Mu3sSDnQHV47nak8SQutpPKuv4Aw8/DzEu10kOZZ2vJCZie53CO6L6JXk2Hktde8XFNXwtHkuzjYwbPJ7mDjrwPlnOrxoipj3943HjydTAwaMruzshoNmGmzUTWCEMB4dU80wo/73PdQJlTyzY52Ok2TR+NxXq6tH3A9xVp6hBhtuzgLA9yPVdVO6H3Pq6qsaJjKF+k0B7Y1D7jsTM1Gk2mgAHs6nFweKGfGCIKvzyTi/Lirs+D8X/jLKFNVylWVz9Np/hDp/kzjGufbd1uHk7drG3g7leTheIyP0inKFZXlhs6+ThcX+wMjWm9rTsBuD4eTq8oqstt7F6eLi3x+FuhpHonHuCUaYYGe5vN0umhY+41UkjlNvQcCWKTrPE6cP0ZCect1jjDUtzCnaey/VTXELYvjO3qbjXewO7i2vIJKVeOxeIzLc173f1lWznXh/HFEIdMH3O35ZPcBLPprvRNCjK3U2+/A+d8q9TCEEEIIIdY7CZpNYM4t52FrqEdf21TqoQgxoJbE8H+8FEIIIYQQQohSWT1fgmZCCCGEEEJMVLMO2p2XfnFdyZvNzmAqt7Mqe3oVCVaS4HgasiGpvowhhsEsrGzIDGAFcT4mzN5U5S3XRoobWDb8wefYAh+fEqGVFBYWSj8hq8F0ks47XSxkBrD5AI1oPT6nt/njUyJ8xWLsqIRzQlnQHZIbKRsKKmRHWYWdrQlQ3s/P6x2k+CvLi7bH6Vh5224aLjr7hMxcqGyOD1/O+uN97s/VFfmPrxg63bLYuCm/aW4bu52ZtvHRZtZuGLyY7G3P+1koyDXhLg52ufl9WcWEDnEMhWeQ+6cCdarG3HHSPjdaEpbFVeGugvOPcHe3Om5mt/NMIs4mqg3DstD62U4/CHbwQKYJ57GqWray2yf9PrO+6ZbF3bEoc2y2omGrDclbtfVcHwljAb8KlGOfJPvaXLudFQ1T6TANUhb8NRKmQdM40+vFrYxeo6BhWVyWEzLbSNNwonCa18c3vb2fgfZ2urJBs39Gw5zo9ozr53W9pnGE25N9/RoNvy2r4O1UkkW6zqupJHu2NnFtWQXHeboPIqAoClvaHdSoGrdkWuFm9gn+/dAf4Ac529urdH8aq1Y1mgyDRM7ntpPcXvYY4fP7qrIKLg12ELIsjmpvZas+71cP5bT+ner18a9YhMW6ji/zmP4tmn8gii7TpCzTZGmaJvfntJ0JIda/5LvvlXoIQgghhBAlIUGzCUz1uNnouf/R+rNfEnn40VIPR4h+Oe2T56hyQgghhBBCiMkvtFIO6CKEWDeK2v2fGBnZdkIIIdZF7bw5fOuDh3nqoqtY/NSrJRvHTAon2v6Xgf+tcQwNQ1q3UeS8miJtZh9SGGAYrk9zQl3ropKhBURm4eUZWllAmAps7Eolm/YJn83Cy3QiLKc7TJjAIlFkqyT7CbMNhR2Vy5jFV8Sow0lFP+OPYfA8bbxXZFvPwsNU3MzEnQ2ZLSbK/azNiQmSuQ8mHxFms5z7mtvOJkauxTDYoSU/3DlF03i4qrafa6x/DkXJ7hPHuj08lYgTsizuj8c4wOXmoEneZrfnIBP7TeDheIzL7GUDLjfRPBqPEbIKw6n3x6Oc7fXRqKrowHvpFAe1NfNcTW+rWcg0iVkWvwwF+V+iN1h9eHsLh7nc/KW8Esc4DqVMNMe3t/JuujsgvLFm46VBGuYms0bNxm/LKko9jDFTqXbPbfllWfmYrD9mWbRnWrP+XFbBNzzFm1ftisLmNjuf6WkW6jrTm1bzQW3DpGp0HIqnq+u4ORrm2nAIA7i0q5Nt7A5m5wS53ErvwQFaTIOA2vul0nEeL3PtdpbpOlM1jc3sjmxD3FI9zdupFCnL4gSPd51eMw92udmmpp4rQ0GeSMT5IN17sIMaNf9LrpBpsljvftffWLORMk3Cfd4LPkmnmJYJzS03ez/jTq64tRATh9nWhhmPo7on92dyISYq+T1u3ci2E0IMRF4iJjhbbQ0Nt1zP1P89iPewg0G+LBTj0IzQWtk3hRBCCCGEEBNGeG1LqYcghBBCCCGEWAdVc2Zy8hN/54wX72CzYw5CKdGk3CuZk/3vF8zOnr8V/qLLOof4060NhfOYxrYEANgCf15AqccioiMceaFtKRtxm1kak0dpxkf+49B3bR404pi8QSchdJaT4B7W8HGfwFU1DmZRfGJ2roqcY65GMbiX1VzJQq7hqyG1x9lRmYuvaMjMxOIjQtzBqqIhM4AtCbA3VUzHQzsp/sVK7mI1qX4CcMuIESsaI+xmmCMPzm2IwqbJtLWrCkJmi+qn8GZtQ7/tUKWwRfOa7N8/D5TxVm0Dh2bCZVeHutCLhJEmm3k57XJ7OJwFl+/lLDxvovP22Qd7Tu3ucPJcIsE/Y72v4Qt1nVeTCVbpOs8k4sxrXsPXWtbmhcx6PJmI80SR88XQfZpOcVc0QtKyWJhOZ0NmAEsMndM6Wks4OjGR+VWVfTLh2s/1gZtXfxrID9ee0tGGtQG8H+SyKQoX+gJ8XNfIPJsdC3i8z+tbQFFwZl5PH4oVNn9taXdwuNvDtg5nNmQGMNNm5wSPl9O8vlEJ5tZrGjdXVHFbeVXeZ9xW02TPlrXs29rEnLWrmJfznn+k282/44Wf1+fa7SzXdW6OhGjRew9P0PdABUKI9cdsbi71EIQQQggh1jsJmk0S7p12pPG2vzF9/suUn/tNFM/o1ZELsa58K5Yyd7etSz0MIYQQQgghhBiSZS+9zSf/fqzUwxBCCCGEEEKsA0VRmLH3Thz/4HVcvOwF9vz5BXjrqks2HhUlGzr7Bg3sSO/k4SuZM6R1JDFppXuyeyMujqSeK5nDcTSgFgmBNZMqOG84cmNhuzHy9pImkiwjTiQToqrNtK/lTpX+BnX8gI3xUhgKbC9yP75G+aC3+xBNmJlbmU8nX2SCdzEMfsUiWkkO8570+pQwD9NE0wDr6AmoBUlzPctYkWlgc+f8RF+eE2Kbg5cqHLgylx9HA5vQe9T8voEpMbDbY/ltfN9we1jRMDU7GX28+DKdHzSoUDUCqso1ZRVUKCqLDZ0H4oUT5yebe6tq+Lm/jE/rGrm7qoY/ZhqTFODZ6jp2HaT1bCI61OXm+75MYFizcYHXzzybnYt9flYYekEc9uyOdnZtbeKczvYB12sC7Wb/oVUxsMfiMY5oa+HyUJDZTas5q7OtYJmXk0kuDnaUYHRiMjgx02L2UDxGeoDg2B5OF8vqp9ATs/1MT3N2ZzvGBhY2g+6A3mGZJqFHEzFaje7XOMuy+G6wg3hmm9wVG72DLIxUHCv7+u3KfD5fZhgs1nUSmfMVYC+Hk3N9Aa6LhAHyuon3aW1mj9YmfhMOcVzOa365orJcl7iZEKXQ+fMrMDo7Sz0MIYQQQoj1SoJmk4xj5nRqfnMlMz+ZT/Wvfo5t+kalHpIQAMxKyRetQgghhBBCiInBSKZ45KzLSYYigy8shBBCCCGEGPcCU+vZ55cXccmKFzn2vj8xY5+dSj0kDqMuGzwrZg0JmjMhprcJ8h/W8jsWcyPLuJKFQ7qNg6hZpzEGckJQgZx2sOGaQn5ApKVIcOwhmvkVi/icMJcwk1l0H1TThcp03DlTdrs5Ufk+M6nJm5abzwTimfawpRQGdW5k+XDvStZyBm8LqsBOM0n+zNLsebtTkR3TbLzUZca/NQF2ogIvGpewMZcziy3wczJTstdttyz+lZmMLAZ3Tbi3Ce+Rqhr+XF5ZwtEUZ1kWJ+Y0I31c15j9O6CqnJwJI7yZTBRcd7IJqCrn+vz41e4pLMd6vKxomMryhqlsai9sFZwMFEXhYn+AFQ1TebK2nh/4A/yvupZKzcZ+Lhf+PqHIZJ/XQbeicKzbTV+7O5wc4x689VH0siyLv0ZCfKOthe8EO8iNf67IBFoeq6plSX3va/JD8RgfptYt0C02TPs6XVSrKq2myYuDvL6risKrtQ3ZwNJzycS4CFOVwjFuL5WqymJdZ/fWJl5OJrg9FuXRTMPZFE3Lvm+W0oeZBsSZmo3P6hr4mt1BpaKwrd3BuR4f91dWs7SukTurangyHqMt01j7r4oqDh4kVN1pmdwdk98shCiFxPMvEL75b6UehhBCCCHEeiVBs0lKCwSoOP8cZsx/mYY7/o57t51LPSSxgfN/tRBffemOFCqEEEIIIYQQw2EkU3z52AulHoYQQgghhBBiFGkOB1scfyhnvHAH3/n8CXa6+AycZf5SD6tAGyluYQU3sZwgaZ6ghU8I50UMWofQVrYLFZzB1BGPozMz1d6OglKkMW2oVBR+yCY0ZDs5+vcSHZRh51Sm8n1mksDkDlbzfywqWDaAnbMpftDNADaOoyHbkGYUdAPBUdQP8570WkPxieEOVKbhZl+q+IoYN+WE2bYnwLt0Zf+2sPgy07I2m96J0U5UHJmf8TVUvs307GW/DneNeMwbiqhpsn9rU9552zoG3/dK4dZYhPbMBPPL/GWUq/nTN8oyp2MbYHvNhsimKKiZcNksm5336xp5oaaOB6tqeLiqhuvKK/HkhM9uKq/k92WVeT2QvwqU8++qmoJ9SQzsqUSC34VDvJsu/t6qAls7HNgUhfdqG7LnS6uZGAm7onCMuztQf98QQmP1msaX9b1B5J+HgryVHHkr60RVr2ncV1nD5jY7ccvijI42fhEKAvBNj483axv4SaBs4JWsBz6l+/V3ls2GTVV5sLqWD+un8Eh1LT8vK2dnpws18xr9q1D357oGVaPJNHmqn+DhPFtv4HqqNvKDPwgh1k3s4Uew5HO5EEIIITYg8u3SJKdoGr5DDmTqf++j/pYbUCsrSj0ksYFSFNh4s2mlHoYQQgghhBBCDNln9z9Z6iEIIYQQQgghxkj13E04+E+Xc+GXTzHvpK+Xejh53Dk/4UYxii7jzYsW9G8mHs5ah7BZzzrWlReNk2hkBoXtO/15mPyw0O/5qmAZFxo/YhO2owwNhZm4OZgaLmYmW9AbIjycOnajgll4OIp6rmA22xAY0X1JY7KG3gneJ9HITpTzdWq5nFkcTT2rSPDfnPFvgY/3CJHItJm9R4jFmZa1ahzMof8GjrqcgJ4ORDLBJFHcZs1rWKjr2dMPV61bs99YeSWZ4JeZCeYHOl18y+srWMabCRU9k0zwUmLyt5qJXqt0ndlNq9m3tZlt7A62dzg50u3h/qoaajIBhTM72zmuvZWbKqqy1/tKT/e3SjGAhcPYbjVa7/vvEkMfYEkh+nd8pnXwhWSCZqP4Z71ciqJwub83RPXbDTR4vqndzqPVtezmcJL7aWhj2/gJX23r6G6r/XyQ15W3kglWmd2PvVdVuLSrs99lF2TWtbvDyWnjoLVNiA2VsWoVqXfeLfUwhBBCCCHWGwmabUD8Rx/O9Jefxjlv81IPRWygqpAvtoUQQgghhBATx+KnXiUZipR6GEIIIYQQQogx5Kur5ph/X8vxD92A5rAPfoUxtJQYt7OKu1nNBUznUGqZgosd+wSivsN0PEMMmgE04mYKrmGPZ1sCHEINx9Mw+MKDiGPwHl0cQA2H0n/w57jMbRlYLCWed1kUg68obP7woHEEdfyc2ZzBRuxMBWqfBrYGXBxADacylW0IrFNDW247WgAbm+DlEGrZgXIMLG5jJQsz45yKizOYwqcU/7fl1yjnbDbKNpj1Z2ZOQO970qBTYLGeZtraVUxbuyrv/It8frYfh21mqw2d8zrbMYFj3R7+XlGVbbLKdULOZPJ74oO33oiJ75VkgulrV7FrTivfOZ1t2b+3sjv4RaAs+w7wbjrFeZ3t2ctn2Ur7PjYRNBsGlwQ72Le1Kfu6cW0kNOB1TODlRHzAZSYzy7K4JtTFoa3NfN5P65sYntl2O9vbHRjAf4b4+n6+rzdA32IOHk6brByKwt2V1fzA1/v5eKo29M/FY207e/enulWGQVOfEGHQNLkjGmHO2tUc39H72r44JyB/gtvDl/WNLKyfwr5OF/s4XRzodPFzfxn/qqxGKfJ5QQix/kQffrjUQxBCCCGEWG/GzyE9xHphq6+j8d7babrgYuKvvF7q4YgNTFqVlxwhhBBCCCHExGGk0qx4/T1mH7JXqYcihBBCCCGEGGObHX0AJz9+C4+cdTmhlWtLMoYlxJiFh2dpw4eNr1EOwGx8vEPvJPgviBDAjnOIxxS1oXAu0/gfzbxL8QaMObhZ2CfYVYGdnagY2Z3p41naeJ8uXqeTi5jJ+4RoIsmulLM/1TxPOxvhZi7drU4fUXzS/52s5krmjMqYhqqFJM/RxlqSnM903KgcQg3P00YMgxaSNGaCfF8QoQsdLxpnshE1OFhNYRPV7lSyGxW4hxgYPIAabmEFAC8lpdmqWdf5Qk9zXzzG//oJf3xS10iZOv6Ou6tbFt/t7CBmWWxhs3NVWXm/k8YdisLeTicvJZM8mYhzdyzCSW4vi3WdKZqGdwj3T7csDmxrZrGus6/Txa8D5UwdR80vfaUsiy/0NHNsdlwb2GT6pxLxvNBYj5eSSbZpWoNdAQtoMU0UQIGc2Gu3niYdUdyriQSn5AT3cmnAB3WNbNW8pujla/tpnUpY1qTfV/8YCXFDNAzAQW0t1Kkq79Q1lnhUE98JHi/vdaW4Kxbl217/sAJEXRt4u6mqKFzkD7C9w4EC7OYc/gEVxopPVdncZmeBnuadVJKUZXFTNJzXttqfR6tq2Sbndfy2yuqxHKoQYgQSL71c6iEIIYQQQqw34/cbRDFmbHW1THnwbkJ33kPbr6/G7AyWekhiA2BZsHhN8R8vhRBCCCGEEGK86lpRmgmmQogJTlFAndwTzcbUJJ+kJ4QQYvzaeP9d+c5nj/Pyr/7K/L/cgZFcv60dW+HnNlaxKV7cOSGyGvIbmZ6nnVl4WU2CLQkMOXC2H1VFg2ab4uEEGlFReYQmPsiEvD6giz2pWod71KuZJAA6Fh8R4nym511+QJ+Wsy3x8wytJCj9ROpX6Mg2lP2FpexMOa/Q2yp2Cys4j41oxM07BAHYjjJqKB740FDYn6FPHF5ClDtYnT39A39ggKUnv5PaW3k9lez38t0cTn5bVjEuQ2YA14S7eDedwq8o3FxRhVsZeJzHur28lOy+v5d1BbmsKwjAHJuNZ6vrBgwmPBKP8d2cBrwXkolsU9ZMzcZfKyrZwj4+gkmWZbF7axMrc8I8japG3LK4uryCg13uAa498SUsi9+Eul+fFeASX4CLfH7O7mznuWSCDsvMS5X1/Lmfw8Xzqe7w6e4OJ/Ok0axfT8bjfCvYG+Q7y+NDVWCaZmOaprGX08WbOa8tlaqKSncA7WsOJ8e6PdnL/llRxdmZUOA/omEu9E3e1+WUZXFrNL+Vs9k06TANKtXx0yI1EdVl3qdWGQYrDYNpwwgBR6y+MdMN0+7jKGCWaweHIxM0S3FbrLDVtkJR2dJux6soVGkaF3j94zoELoToZaxajWVZ0i4oxHgiv8etG3k9E0IMQP6VsoFSFIWy00/Gd/ihtP/uWrpuuws28CPeiLG1ZuudaHrho1IPQwghhBBCCCGGJdpc/CjHQgghhBBCiMnJ4fNywNU/ZMcLTuaFn/6JT+5+bL3ddg1OfsgmBedXYOcwanmcFnagjB0p5yaWA/A/Wobc8OXGxnTcLO/TXPYlMX7J4oLlOxm8eaEYHTMbzmojxZHUMTsTjAN4jy52p7LodZOY3MEqpuDiJ8zCxOIRmrMNZ7sO0LBmYvEeXczFh3+UfgZfTpwFhLOnU5iEi2yX1+hkHzSWEUcBtqes33U6UDCw0Oh/Mk8Sky+J8AhN9O3Q+c4kDjTkMk2TD/Q0T8XjvJ1OEbNMvhykDeSG8kqOyAmDjCfPJ+LcGAnzbro7wHp1WQXThzCp/Ai3h0pV5fzOdkI5wYKFus5vw11oKLyVSrLK0DnG7eV7Pj8eVaXDNPJCZn0tNXQOaWsBYEe7g92dLo5yu5k5zKCSZVksNXQilsUSXedgl3vAdqd7Y1G+1NNc7Atkw4AthsEOLYUH+lljdu/953W280JNHbMmcYjq8XiMZYZOnarybE095Zlt83WXm+cyLYYVisK/q2o4oq2FdOZ6H+spFtdPIW1ZQ2q421DFTDMvZAZwqMvF13JCKm2Gzskdvd8DXhEo42i3t+j69si53ifpdNFlJou3UklClkW1qvJCTX228e2acIhpmsY8u4M9x2nYZ7x7O5XKNhPWaxLam0x2cDi5LRbNC5nVqCr7Ol38LFA+bsPwQoghMAzMjg60qtE5IIsQQgghxHgmQbMNnFZRTu3Vv6LsrNPo+MN1RB75X3f1lBDrKNa4EeHKOkxVpRM7n7z2camHJIQQQgghhBDDpicn92QRIYQQQgghRHHl06fwjbv+wK4/PIfXf3cLn97/JFYJD9q4I+XsSDnP0ZYNmY2EI9N+pgDTcbOsT+gs1/E0DHv9JhbXsoR4ThPZf2ji58zmHYJEMegkzWeE2Rx/wfXvYBWrSbCaBLU42IoA22Ra2w6mBrWfcNZqEvydFQA8Tgt7U8Xeo9DG1k5+q90uVLAHFXxGmGROvVALKd7NtJnNwUs5vYGY8j4/yccxeYtOdusnbHc1i/O2X67Xq+tGcjcmBCvTmnNvPEqLadJpmgz0q/X15RXsYHcyxWZj2tpVQHcgor+gmWFZvJVK8mIyQY2qsdYwOMztZkeHs+jyo+m1ZIJvZtqP7MCFvgBfH0Ygbneniw/rGnkyEedLPc1dsSgdpsnNfVqG/hoN8/domL2dLj5M9+67R7rcXFdeybvpFH+PhHkqE1zq8U46xTvpFH+KhKhSVXawO3g6s8xWdjuPVNWiFQmPJS2L2U2rC84vUxQSlkVu79wN5ZUs0tP8JdId3PxntLDhpcdrNfXYFHg3leK7wQ4s4PzOdh6tqsUzSSfnf5R5vI5ye7IhM4Abot3bSwF+V1bBFnYHC+samZkJ+7SaJjHLyruOyNe32a/H8R1tXOzzc7G/jKBpsl1LU97l/YXMgLww5ZOJ/t9HJ4NnMvfvAKebcrW7hemTdJp/x7qbPp3Awvop0uwyArs7ndyYeY7/LtzFLwLlpR2QGDU7OvLbQqtVlXdqG1DleSLEpGCt5+ZzIYQQQohSkaCZAMC56Rwa/n4Dye9/l86/3Ej4v/8Do+/x8YQYnInC0q135Z2XP8LUW0s9HCGEEEIIIYRYJw6vu9RDEEIIIYQQQpRQ/dZzOeaeP7LPry7izT/dxke3PUw6VrpJ5V/SG87wofEdZgzr+oHMz8MWsIZEv8v9mI1xMvx2jTB60ZCUhsIh1PIg3a1Fnn7WnTv9tgud+1jDV8QAWEaMC4rc31XE+Qcr8857jY5RCZptS4AGnITQ8WOjke7WFgcqyZyusThGtnVtB8rz1uHFxneZwfUsy55n9IlQxTG4gWVEC/rLen1S1zhhGzBMy+KNVJKnE3H2c7rZ25XffvNmMsEVoS6+0AsP9uKiu+llWea361majSPdHj5Jp1ljmHzT68su+1U/jWe/DgW5pUiw6V+xCBd4/VzsDwzYwtWfmGnyXjrFzg4nt0cj/DcR4+N0mjM9XuKWxX3xWMF1Xq9tGFFzjU1RONzt4XBgT6eLi4Id1Koac212pmga/43HWGzopIFnc4Jkfyyr4FhPd2BmR4eTHSu7g3VrDJ0T2ltZ3mdOQLtpZkNmAB+n0zwQj3GiJz908994jO/105jWVeTAthcO0K7W17RM09sRbhs7O5wc0tacbXD7VVn/rYYTWWsmyNyQs2+kTDO7T//IH+CQTDjxGzmtWwDWgJHMDdsHqWReyOwin58DnG6Obu9uhftjJMxt0Qgb9WkXvFoCP1k9IcidMsGZf1ZUc0MkxB2ZoFmS7s8UEp8Zvt2cLnZzOHk9leQf0QiHuNykLYuVhoFXUdjL6cI/wPt+yrJwSHBpXGrQbGxus/OZnqZR1bi/qkZCZkJMIqpHfjcUQgghxIZBgmYij3OzTam/+TrKzz+HNSedidHWXuohiQkkWVXL2+4GVj7/XqmHIoQQQgghhBCjItoi/y4WQgghhBBCQOWs6Rx24xXscfn53Hf0d1jzzielGQd2WjMtW04U3MMMg+UGvFIDhBOuZgnQ3Xq2KT62JTCk2wpRPOgTJs08/EzHjYGV1/iV6yw24hGaMbDYmXLuprctqYUUJlZBq1luyGwOXhYSRRulKe8KCg248rrdPidMuE8grAI7q0hQgZ1NKGyqqsLBpWxMJ2lsKNTT26L1F5bSSWHAaneHk+vKK6hQVLQJGjBbqes8EI/yYDzGqkyg6e5YlN+VVbCX08VSXecvkRCvp5J519vV4eBIl4dD3B5Cpsl5ne2Q2eaLDZ1rI6Hssr8Nd2X/fjOV5I5ohNNzwmfvpZJFQ2Y9/hoN80wyzr8ra4YVAEtZFnMzrVJ93ZYJYBQzkpBZX19zOHmzNr9x8Hv+AEHT5JF4jEV6Gp+icprXyxSt+JSQRs3Gqznr2KF5DS39tDZ+2ScA+EAsyg+6OvPOe7iqhvdSKZ5PJjCxeD+VKrJXdzvU5eaJTEtSvarRZPY+n/o+c2s1jSsC5VwY7OD2WJQTPV62sDuYbNoy26Ba7d0/7ohFsgGeb3q69+kLO9v5IJ3fotFiGFSo675fTTZJy+Lczt7v9R6pqmHbTIPhO3X1nNrezgI9TYdl0ZHu3VsX1zXiGMJr7jybnQVFwrGTydOJOB9ltk1PGK9e0/h1WQUNmsbV4e7XYgOYmO9SpXeW15d9DzymPf9AzmWKwpleH3Ntduo1jU/Tk3t/m2zur6phjWGwqc0mjX9CTDJGaxtqeXmphyGEEEIIMeYkaCaKcm2zFVMfuY9Vx5yC0dRc6uGICaBl3na89uEqEsEvSz0UIYQQQgghhBg1S59/q9RDEEIIIYQQQowjgSl1nPHC7dx/7Pf46unX1vvtl+f8vNuOjo6JbYDp3RYWMQy8mevtSxVhdD4k1O91ci0nznLivEAblzFr0ADXVFzsRSUfESKYEzprJYUfO/5Bfp5WUTia+uzpQ6nNC5L1DZn1lci0qSUxsbBQRrljpZUk92Va2XK5M7dThq3fMfqw4cu5/0FS/Dmn5ayHCrxSU59tdZoILMvif4k476dTNBsGLaZBs2HktWUFFIWQZaEDl/YJKdmBkz1e3k0l+VTXeSOVYmu7k3M72/gglaInVjNN05iq2ZiqaTyTSBC0CoNRPwsF2cvpYrrNhmlZeSGzP5ZVcIzbg6IomJbFs8kE53a2szgTePttn7asxXqa7wc7+DCdzo5/XdSMcWCwXFU5IydkNxQfppIc0SfcMNdm45maeg5qbeZzPc0ryQSWZaEoCl+m03khs6Ncbq6r6G4P3N7h5Dyfv+A24pbJw/EYaw2Ds7y+glDUtLWrsn9/1CdAB/B1l5sLM3+vNgy2KJ5TndCaMs+Vqsw+YpomN2X23RmahkdVSZkmj2YCegpko8IHtLXwWFUtWzsmXwBvXcxPJWkxTRRgfp8mwUrVxhM1ddwdjXBlKEhP1PUUt3dIITOAtn6CmZNFu2FwcaYN7mSPlx36BDzNnJfDa8MhfhIoW5/DmzT2d7o43OXmsUScxkzwdmPNRgqLFYbBXyLhotd7vrpO2szGuYCqEpigBwoQQgws8eKL2GfPKvUwhBBCCCHG3MT5dlqsd445s5n66AOsPuZk9JWrBr+C2CCZqsZnm+/Exy+9X+qhCCGEEEIIIcSoa1mwkODy1ZRPn1LqoQghhBBCCCHGCYfPy0mP3cyjZ13Ox3c9ul5vez5deadfpJ0DqCm6bAcpbmY5KSxOopFN8aGgFA1CHUYtnxBmBfGi69KxWEuCqbgHHJ+Cwj5Usw1l/J3lxDLBr3pcQ7l7BabiZjZeFhFlawJFl/kxm3A1XwHkjT+NhWOUg2ZNJIuevyhzu8v62X7F9A2Z7eZwcE9V7YjHVkq3xiJcGeoqetluDifHe7wc4nJjA37aFeSRRIy4ZaEBh7jcXOjzs5ndwQ2REJ9mGnJuivZOrt/W7uDmikoa+rRzvZRIcHpnW8FtBtTux/30jjZeyTTF/Leqhu0cvU1yqqJwkMvNZjY7n+tpluu9wciQaWIDruwK8mGmQWagkNlFPj/7O91s7XBgWBbvplNsotlwKQqb57SefcNV2HZXSu+lknyjT8jMBjxTU5933iJd55j2Vv5eUcUBbb0HqT3T4+OXZeWD3o5bUTnZUzwA93GfNrvyIo1vuVu+YhJO2v9DuCsbyuxpNLs7HqM1E2T6ib87wLMoZx/9qLaBrVp6Q683REL8vbJ6fQ15QmjPbL8GVeu3SfAUr49ThhnO7FGlqnltfJPNzdEwUctins3OrwPlBY1MJ3m8PBSP8ZWh89domEcTMa4MlHOgK/9zQsKyWKbr0urUD0VRuLGiij9bFnZFIWlZOBUFw7J4NBHnvliUDtOkyzTpMA2majbuqRpeA6cQQojRFX/6GfznnVvqYQghhBBCjDkJmokBOWZOp+76a1l91AmlHooYh9I+P/MrN2GFhMyEEEIIIYQQk9iix19ixwtOKfUwhBATiQIyf2odyLYTQggxAWh2O0fdfjWr3/mE9i+XrrfbPYZ6/kNT9vTrdLIf1UXDY4uIkspENO5hDVcyB4AGnAXLfkAXZ7IRj9JMBJ0jqEND4XqWoWfWUcbQa4QqsPMjZmFgocI6NYudwhQs+g/5uNG4kjl8TIiHcraNY4Cmt5GKUTxU0IiTNf2E0Iq5koV5p9+oqWfqBGowy/VlOs1vMyGzvZ1O9nS4qNU06jSNGZqNupzJ8A/EotwTj2ZP68BjiTiPJeJcX17J2V4ff4+E6cyEus72+jjO7WG6qnFDNEKTabCTw8nxbg+qorC3y8WKhqn9ju2VnBBTbsgsV08orcU0uLyrkxW6nnc9gPO8PryKSrNp8EU6jVNRcCsK29odXOTPD0BqioIfhWPbW1iS0+h2usfLT4cQylqfzutsz3tm1agqr+aEzP5QXsFhbS0AvJtOsW1LfpvfUEJmA7kmFOSGnMa5qiIhsi/Tab7V2Z49HZlkLVJL9DQ3ZxqLpmgaMzOvA82ZfUcDDnF3BxQ/17tDjypkX5d7vJhMEDJNac/JsXEmmLrGNFiip9nYNrpVeD2Px2T0WjLB3zLPzXO8PmxFvuCo1jReqKnjt+Eubo5GWGUYnNPZzsaajWpNZYZmo0bVuDEnNPxpXSN+2UeLsme2sTPzf01RONrt4Wh3fkC5p11SCCFE6STnv43R3oFWVVnqoQghQH6PW1ey7YQQA5iY31aL9cq9y9fQqiox2jtKPRQxjhgOJ6/5prP2/S9KPRQhhBBCCCGEGFOLHn9ZgmZCCCGEEEKIAoqqMu/Ew3j5/25Yb7e5JQFiGDxJbwvRKhJMw42FxfUsJYiOCUzJaRE7kGo+I8ybdHJgkQa0NSSJoXMsDVhYdKGzmGh2vokXDS/Db8/QRmnGylCCalsRYCsCWFjrFGwbSLqfwNtB1HArqwBoI0U1jn7XcR35wcSBglLjjWFZpLBwKyqrDZ3zOtv5JNP4ta/Txa0VVUUnwFuWxR8jIf4SCRdc1uO7wQ7+XlFFLKc5bFeHkwZN45ud7byVSgHwn3iMR+Mx7q6sHpXJ9pvY7MxPpVio6yzMaYzqcZTLzc8C5UNeX5uhc0h7S96eUq2q/LqsYp3HOtraMqGteTY7T9TUFVxer6o4oWiEcmn9uje/54bMAD6oa8w/nUpyZJ/GtWkTNJDZn5siYVLALg4n9+bs08uNwn3x3lh3SNOpKDwQjwHdQbQZqsZXpsGLyQRHusdXa14pbe1wMM9mZ4Ge5q5YlF8M43k8FPPsdj7OvP69mIizj2vgxs+J5IVkAoD9na6CoFMuRVG4PFDOlnYH3wl2zydaYugsMeBtUgXL79bSxPt1DUWDaxuatYbOc4kEs2w2dnEOvfVVQmZCCDEOmCaJ557De8LxpR6JEEIIIcSYmlzfwokxoagqviMOpevWu0o9FDGOfDBja9a+8XGphyGEEEIIIYQQY27pC2+RjsWxeybPhBEhhBBCCCHE6Nj8uIN59Td/w0yvv2aTHSjPC5r1BMo+I0wHveGENpJcwHRsKKSxuInlAPyTlUXX+3dWsgkeVpAgSO/9caByHtOKtqaNR/2FzNaSoJM0LlQ+IsRHdIeeyrBxCo0sJsbHhAmhsxPl7EYFNlTm00kUgz2oZGsCrCHBcuKkMKnFyWy8bISLepw0keQGlgFwNhuxEfn/jjSw6MjZth/VNgx6f9KWhQaoJZpc/lwizoPxGIZl8XE6Tbtp8Gh1LXfFotmQ2UaaxjVlFQUT4DtMg22a1xZbLUe63Gxqt1OmqPw0FATg3JzmKoCzO9vRAAPwKgpb2x28kUryWirJ++kU2/fTUtZjb6eTl5IDN82d4PbwYSpFlaqymd1Oq2HylZHmBLeXMlVl/2EEAAD+EY3mhcyuCpRzmtc3rHWsLz3jbDOLN/X9KBgsCJn9X6CMb3r9w7od0zS5JRZBAY5yebi4q5PXU4WPyw+CHVxb3t0M0WkaXBDsPRBunaryp/JKNhnlVqpSezsToDzf68s+f0Kmyf8ScQB2z+zjumnyfrp72b0cTu7OhM6maBqzbHa+Shp0TrK2t9Gwt9PFAj3N04k4l/vLRjXg9GBVLXOaVgNwRmf7hAoND+aTzL52iMs9pGDT4W4POzqcHNjazFRNQ1HAtMClKDRqGo9l9uegZXJCeyt3Vlbj2YCbza4Lh/hDJJQ9/TWHg6NcHr7h9mzQ20UIISaS+FNPS9BMCCGEEJOeBM3EkFRf+TOSn31JYv47pR6KGAdSFZUslJCZEEIIIYQQYgOhJ5J8+egLzDvxsFIPRQghhBBCCDHO1G4xm2PuuZYHT7gEyyge1hhtGgrnMo2VxNmesmxr2EoSecslsailO6TwGh0F63GjEqc3mBDF4GN6G6dqcFCGjb2oooyJHe5oJcXfWFH0si50/trnshdpZyVxOknTngmGrSDOkdRzPI3FVsOpTOE+1mQfh3+ykiuZ02e9bXmnn00mWGXorDYMVhkGQdMkZpnELSv7nw7UqCrnef2c5vGu90nofwyHWKDnBykPbmvJ/n1loIxTPD6cfcII/43H+F4wf7+zATeWV3GIOz+AN9du58yONsKZNrNryiq4IhQkblkYwAzNxp/LK9jO4WTa2u7muKGEara3Dx4029bh5KkibV4j9UA8mv37z+UVfMPtHbV1j5aVus4lOY/NdK34tJGeYBOAC4W3auup1AZuNjRNkxnNa/q9/KpwqN/LHojHuLa8kqhpckZHG6sNg1pV5b9VtUydZE1mAG8kEyw1dBRgG0dvC+IPgh0YgAr8paK7Ce9PkXA2Rryd3cFTmcapC71+XsuE9r7S11/geaI43evjH9EIKw2Dkztaua68ivpB9uGhcvV5zftGWwsPVdeOyrpLre99G4p6TePj+uLvjzcCfwmHuDYS4p10ip+GgvwpEyqdyGKmyUuZ5+IBLjf2AbabZVk8nojzz2iE99L5bW9vp1K8nUrxu3AXL9fUUzVK+6gQQoixE3/pZYy2NrTq6lIPRQghhBBizEy+b+PEmFA9bhrvuZXWy64kfN+DpR6OKLFg4wxY9FmphyGEEEIIIYQQ682yl99mixMOHdJRfIUQQgghhBAbls2POYjTnvknj537czqXFG8LG21TcGWbzHrsQgVvEcw7r40k1TjZgTJeoh09p2spN2QG4EKlHic2FA6nbsKHy3ItJzak5dyoNOLiK2Is7nOdZcS5heXsRRUrSbAvVZRhw0Z38MuHjTOYyq9ZDIC/yE/xXxLNO31pV+eQxtVqmlwV7uLmaJidHE5UwKS7kcq0LMzc01js73Rz+ii0aK029GzIrEZV2cnhzDYtARzucvNNj6/g38q6ZRWEzJ6srmULu4NidnQ4WVDXyJe6jk2BWTY7DZrG+6kUh7rczLHZUBQF0+rdf6dpNk5qb6VCVflzeSWOIv9eX6LrBef1x7Cs7HZNWBYPxmNsZbezjd0xpO8CmnWdszvbac0E4H7hD6z3kNkFne08nohTraq8V1c88PHTrk7ujPXuh25F4b7K4hNkO63e14jP6huH1Aa1X04IcSgeqarhyPbehsbT2ltJYPFhOk25ovLvyppJGTKLmSaXBLuf/yd7vFSoGmd3tPFcMpF9lT7S7aZStZEwTf4RiwCwjd3OddHuQPAMTeNEr486TePRRJyH4jF+4i/DK41IWfWaxvk+H3+OhHkrlWLnlrW8WlPPRqO0Ty2un8KsTKvZu+kUhmWhTfDvDi3LYk0mON8+ii153/P5+Ws0TNyy+E88xg/9ARr7CbmOV4ZlsSCd5tVUgleTSd5NJcmNdwYUhVDO+5QNuK68kkNdbjZvXkMs57LdHU7+XlHF88kEd8YizE+lCFkWJ3S08lR13ai27wkhhBgDySTJd97FffBB8ruhEEIIISatifWvdlFSmt9P/Q3XopUFCN7yr1IPR5RQu+YefCEhhBBCCCGEmETcFWUsfuoVZh+yV6mHIoQQQgghhBiHZu67C+e8/QD/2Ol4Or8q3pw12taS4E062ZdqyrGzqE+ICeATwuyDExcaP2UW/6GJBTmtZT02wcPh1FE+jsJlzSS5nVXEMDiWBubhH/G6muhttapAo5Pi7XMb4eJoGniRduwoNGYCfSF0HqOZVlI8RXco5tPMdvSiEcBGGXbcmdCZApzOlIL1t9PbYrKZzU6NqjLVZmOKqjFF06jWNNyKgkdRcGf+s6PwXDLB9ZEQKw2DJ3KCXv15KZlkS7udbR3OIW+jXJZlcXZnO88le1vyDnO5uSJQzubRMC4U9ne5mdFPWGOf1qa80ysapg56m4qiMNfeu//t5XSxlzM/TPlFTmPT/m3NvcvGY5zgKQx1vZ/ufdyLBUAsy+K2WJQ7oxEWG8VDafNsdk7z+jjS5S7aJpcyTS4LBflPPJaNbu5od3COL9DvfbUsi3vjMX7c1ck8m51tHA5+7C/DwCJkWv1u12JSpslxHW18kNOQ02qabNG0mk/r8/fBu6ORvJCZHZhf24Ba5H49nNPM5lOUQUMPXabJ6R1tfJWzHR2Q3eOrVJUf+AL8IdzF5nYH3/L62MvlRu8TZHk5087lUxRur6xijn38vCaNlqcScS4OdmRDJye4PBzV1pLXIOcAfhuoIGKaHNzWTDyz7M4OJx+mu58HN5VXAd3PlY01G0sMnf/EY6MSMp1MLvEFCCgq14RDJLC6Q7sVVaOyboeicFWgnJ+GggAYwETvonollWSR3t20t4OjeDh4JBRF4e8VVZza0d3seXlXkNv6CbmOF5ZlsdwweC2Z4NVUkjeSCbpywmJ9hfpcpgMXBAsbZU/2ePlloByHonCE28MRbg/PJeKc1dnOQl3ngs52rquoGlGznBBCiPXHCodJf/kljrlzSz0UIYQQQogxIUEzMWzVV15O4sOPSbz9bqmHIkqkuTVU6iEIIYQQQgghxHqj2myUTW8kGSqctCmEEEIIIYQQPTxVFZz02M38c+fjSYYiY357d7CK3ajkSVo4iSl05PVqdJtG78EDFRSOpYFjaUDHQsuct4I4j9LEg6zlCOqoZWThpNH2JRFimUDYg6xdp6DZFvh5ly4AAjg4nym8SSerSbCKeLbdLYSBG41Dqc27fjl2zmUav8m0leWKYhDFYG1OmG07yqjpsx0NrGwQ6US3h2vKK4c8/hM9Xo5xe3g6EafZNNBQUACV7lCbpiiomdM3R8Ms0nV+3BXkieraYbWirDW6O+/8ipoNmW1tt3OIy83pHh+aonDhAAGqHsuN3iDf0vrCwN1IvZ1KFT3/tWSiaNDsRI+Xq8Pdv2teFwlzib937IZl8atQF/+KDfxcXaCn+XFXJ1eFghzj9nKqx8vsTPjp8XiMS4Id9MTxbMB5Xj8/8vW/r7YbBid3tPF5JjS3QE+zQE9zV6zwO4cT3V6uLivvtyXhoNbm7Hr6ClsWt0XDnOntHcs14d7feM9we1mop9mqeQ2X+8vwKgpfczjZNHPfPkn1rvfvg4Rybo6E+G04lG3icisKX/bzuJ/aJwT1UZHxT9E0bq2ozgseThZfptN5IbPd7A4uDXWyMNO+9zV7d+hwC7uddtPk8LZmOjLLnuvx8Ui8O2g6U9PYIhMCUhWFM7w+rggFuS0a4TSPV5o1ciiKwjk+P2Wqyg+6OnkiEefk9lZur6zGPgrb6QCXOxs0W2MYwwqKjkfvZsKeBzhd7DDCsHJ/9swJD7+QE2ReVx+lUhzent+m+EBlDTs5hzd+y7JYZui8lUrxVirJW8kka838YLpfUdjV4WR3p4s9nU5maDYuDHbw2BBC4ND9nlis9W5/l5sLvN2tb08lE1zRFeTq8ophjX8srdR1/h2LMjfzmaBYi6gQQmxIbLNmoa9YiXP33Us9FCGEEEKIMTOxv+EQJaHY7TT8868s321/zJAEjjZEodbOUg9BCCGEEEIIIdYbf2Mty154i3knf73UQxFCCCGEEEKMczWbbcJRd1zNfUd9Z0xvp40kjbh4ny4Opw6AfanmDXp/w6nAhr+fn4NtdE8QTmHyL1Zmzk1zM8v5MbNwUthwtL7tSgVvEySCwcHUrNO6ZuLhNKZgQ6UOBzomS4gRJM1cfJhYfESYUJGwXo8Uvc1LM3BzBlOJYRIiTRc6XaQJoWNgsReFwZz3MkE3gLO9ww/N2RWFr7s9gy63j9PF3q1NfKGn2bhpNdM0jUZNo17VqNc0nIpCk2Gwh9PFEW4PlmXxeirJP6MRXkgmsICtcgI+D1TVDrtV5c7Kak7LtNY8lYizr8vFh6kUmqKwg93Be+kUt0TCpAGnonCB18/WQ2jOOcnj5b1UkkcyE/q9ikLUsngkEWezSIgL+oTgLvD6s0GzB+PRbNAsaJp8N9jOy8nuQMXBThdfd3soV1Wuj4SYn0pxiS/AGV4vD8Ri3BWLsNwwuDUW4dZYhB3s3WN9N6eBage7g9sqqwkUaQdLWhafp9N8mE7xi0wgpcceDifvpVPZ4FGue+NRXk8leKWmviCYcHhb8ZDZVnY7H2car34R6uKmSITfl1fwXCJOp9W7D9+e01j2m3BX3jqOcLlZrvc2k13Q2c5HAwQGr8kJmZUpCn8oG3qIcktbfpjMrSisNgwuDLZzV2UN9dpE74fqZVoWx7S3ZB/rCkVhN6eTayLd7YhHutxcX1HFU/E4B7c1sywnsHmJz88l/jJuzQQjT+4TrDzW7eH34S4WGzqvpJIFbYCiexv9oKv7PfK1VJKj2pp5vKZ+nddbr2nUqiotpsklwQ4erq4d/ErjWLXa/Zx7M5Vkua4zfQyDcyt0nWmjsP6+ITOA4zpa+ayuEV+R1+RcLZnGstdSSV4vEiyzA9s5HOzucLGH08lWdkdBgPvGiipuLLLutGWxX2szywydnR0O7qmsKRoy6/GTQBlf6mmeTyZI039zWikc0d5Ce6aB8nJ/GecPEKgWQogNgWPbbYjedz++s75Z6qEIIYQQQowZCZqJEbHV1+HZew8ijz5e6qGIEthy3jTebGor9TCEEEIIIYQQYr0IrWri0/vXkAxFmHvk/qUejhBiAlBUBUWVozuPlGw7IYQQE93cI/fHU1NJrLVjTNZvYvE3VmQnId/OKi5kBtU4+D4z+SNLAehE5y5W83027nddfd91TeC/NHECjWMy9uGwoXIpm4za+jahN5hxD6tZQXdY6QNCeOieWB/LCZP15evz07qCghcNLxoNQ7j9tfS2tzyeiLGpvWwYox+6ak3jt2UVXNrVSdyyWGEYrDCMguXui8doMQzuj8f4ok9gqSeo5FGUEU0oqFd7w0F1msYZHW28ldNG5oSc/jd4I5ngkyE0nzkVhesrqrg+czpomhzX3sKXus6t0UhB0Cy31WmlYXBnNEKXZXJPLMpKw8CFwo8DAc7y+LLL7tknoPMtn59zvT5eTSW5MxrhuWQiGzBT6G63CVkWbaZJ3LLwWhaLdZ2P0yk+TKf4KJ3i83S6IMJ4XXklR2WCg3HL5PN0mkbNRsKy+F8ixv/icT7T06w0DGY2rWZh/ZRs4O/FRJyP0r1rvKeymt1yxr3x2lX0xMTWmgandgzvd91H+zTzhIuE4AAejUf5Ragre1vfcLv5c/nA7Wd9OVSVw1xuHs/cZjxzWwt1nTdTSY4eQrhyIvhKT7NPa3PeeZ2WlQ2ZzbLZuL6iiiu6Ork1p93ODvwyUM4pmSa4nleo2j4BPL+qcpzb2x2GjEYkaFaEoigsr5/C+cEOnkzE+UTX2XTtKr5smLrO6/51WQXndbbzXjrFx+kUW9kHD86OVyd6vDwUj/FBOsVvwl38bZBGw+HaxeHkzUxr2u6tTXxa14hfVUlbFud1tvOlnubXgXL2dfU2shqWxdupJE8lEtRoKge73MzKhFSX5YRi+9q8eU3R868IlNFsGLycTBYEdh3ANg4HOzuc7Oxwsr3DgVsZWfjerii8Uju8MOP2DgfPJxOMt4htT8gMYJMJ3tonhBCjIfafh8A0ifzzX5T98AelHo4QGzT5PW7dyLYTQgxE/vUnRsy55RYSNNtATf/wTZZtsTlrP/2q1EMRQgghhBBCiDFnZX5IX/zUqwSXr6Z8+uCT34QQQgghhBAbtik7bsmiJ14es/X3bbq4gWUABT1kIfqfgA1gR+VAqnmG3iBKB6kBrjGxtJOiizSP0EwCk7PYiDJsLCM/SONGJUZhGCtX7rasZvghgsOp4wO627X+HAlzgsfLFG1sfq4/3O3hIJebJsNgrWl0/z/zX08jEsAvM01WbkXhOLeHb3p96Ba8nUrSZZlsW6S5ZSiCORPSz+xoI9QnqJQENrXZ2Eiz8VwyQZdljajZxsRCz6x6Rj/XPcXj5e5McOenOW1iUzSNf1RUscUQAiGqorCX08VeThdrDJ17YlE6TJPTPT4CqsKx7a0sM3R2bFmbbVnrq1JV2druYCu7nQNc7rwgiltR2c7hzJ6+0BfgQl+AaWtXZc9rNQw2ytzHu3OCSLdVVOWFzACWNEzNu26Pszy+7oCFabLS0Nna7kADHk/E2dRm59fhYLblLddpfdqzevwz2r0deigF0dXBWZZFVZHGoWmaxsGu0QlLvZiI81YqxZleLw1j9JwbzJFthY1LuX4ZKOcPoa5syKxcUfiBv4zT3B7UnO3TfxQWzvR2B81eTCZYqqeZ2actTnSHza4vr2RW02oA4sBfQ11cEFi34O/BOaGou6IRrikfeqvfeONUFH5fVsH+bc08mYjzUiLB3qP0XAS4o7Ka2ZntD/B8MsFRbg//ikZ4PtkdyD6zs53ZNhsVqspUzcZD8VjeOq4JhzjJ7eU3ZeX8pKu3yXV5/RQURWG3lrWsLBKw7vF/ofwWx3k2O3s4XezmdLLjOgTLRkPP28dIXk/XhxpV5YCc/V0IITZYmc/AYQmaCSGEEGISk6CZGLGK732b1OIlhO97sNRDEeuZisU2ZbC21AMRQgghhBBCiPVMlSO2CiGEEEIIIYbgmHv/yN2HnMvK198f9XWrKJzPNJ6jja+I5UXO+oYQfsosDCwep4WVxNmXKjbDn7fMrlSyK5UsIsrDNLEv1aM+5lJYSIR/k99mci9rKMdGMrOlHCjsSiUOVJ6hFYAEBq4iXSKrcsJpO1I+7PGoKOxKBW/QPSn++PZWzvL6WKLr7OF0sZ/ThX0Eoa7+OBSFaTYb0/pMCdjf5eKCznYCqsrmNjtfczg5zuOlPCfMsql93QIq7aaBBhhAyLKoUVW8ikqzabCt3cExbg9HuD00GQbPtTYB8GE6NaygWdg0Ob2jja8MnXpV449lxYMdvw6U41IU3k+lqFVVPKpKvapxntdHlTb8zphGzcYP/PmhlH9X1nBsewvNpknUsvAoCvPsdraxO9g6899GmpbXsDYU/66s5uRMG9mJHa18y+unwzRYY/SGHvcd4oT/eyqr2dXhRFEU6jWN+pz7fkSmNezOyhosy8IAdmpZS6tpcpDTxf+VVRRd56U+P6d0tmdPfzvTujUcf4mEuSMnOAewm8PJn8orcaHwfCLOHJs9G7IbjqBpsn9rEy2ZicA3RcPMr61fr2Ezy7J4PpnIC1u+WFPHqe1trDa7gzAqsLvTxc+7ggBUqSrza+px9AngXZCzrd0FsWKYabOzp8PJK6kkd8SiXBEoH/X7Mxk4FIVve7zclNnv/haLrHPQDODrLjf/S8S5Nx7j3niM7ewObq+spqxIkHK8m2O3Z5sGz+hs4/aK6lELmzkVhVdq6tkz89r/ZCLOFjY7V4Xzw1+LdR0LeLuf8Ps98Sj3xPNfOyzLQlEUXq9t4PZohJ/nhIv7sgPXlleyh8M5oveCsTbeYmaPVtXyUjLBuSN4nRdCiMlMGYfvIUIIIYQQo0VmR4kRU1SV2t9fRfSZ5zA7g6UejljP/KuWl3oIQgghhBBCCLHe2T2jdwRfIYQQQgghxOTl9Ps45t/X8peN98caoFVjpOpxcSpTAXiPLh6jOXuZC4UEFttTRhKTP7Ake9l/aS4ImvWYjZeLmMkbdNBMku0owzeBf05eQLjgvAg6naTxoRHB4HSmUo+TtwkSwEYInedp4zDqCq7rzAl23MRyGnGyD1XMZmiTrk0s9qQyGzRbaRjZVpU7Y1G2szs40u1hX6eL6WN4kJM9nC4+qR/bpu7tHU4CikqnZbK7w8l15ZVUF5mE+UqmvQZg7jDal4KmybmdbXycTlOpqtxdWc1SQ2eP1iZO93i5PBMuA9AUZcwDN9NtNh6pruXtVIq5NjuzbTa0UQgN7uRwUqWqtJsmKw2DnxUJTcxeu4oUMMdm49ma+uz591fWcHxHa/b0SR1t7ONwcVtl1YCBN0VRsAFneX1cHQ7xdDLBw/EYR2fCaLn2cLlxQDYGMmcI7XA9mg2DUzpaWajnty6e6fHSYpqsMnSeSKS4MtSFT1F4q7aBwDADO/NTyWzIrMe3Ozs43uNhsa5zkS8wpiGgj1IpLu3q4MvMfaxWVZ6orqNe03i5po5Zzd1B2NmZ53tLJnh2qMtdEDKD7kBOj32dzoLLgWxgtHkM3ncmkyU52+ewUWpn6ttk+H46xa3RCBf7A6Oy/vXt2rIKXkkmCFsWX+hp9mb0vhOdlvN+8GQizos5+7YN0IFzvD46TJP/ZNrMjnZ7uMQXoFJVeSAe5TehLtJ91vu5rrOFo/t16AyvjzOKhKJ0y+KFZIK9nC6coxjuHi2FfZjjwzYOB9s4ht/mKoQQk53ilpZHIYQQQkxeE/eXATEuqG4XgROPJXjTP0o9FLGexWtqUde0YPb58l8IIYQQQgghJjO7W4JmQgghhBBCiKEpm9bIZkfvz2cPPj2mt7M9ZThQWEmczfBxO6uZiovDqeMh1uYtm8TEwkLppyvjRdp4iyAAr9LBYdSyDeve9FIK03HzcZ+wWTozhXsqLmbjoYUkj9PMWlJ4M0Gyd+hiawJMJX/S4EzcTMHJapIArCHJ3azBgYIJVGGnAReHUJsNpX1EiIdpGtJ430+neD+d4g+Kwvf9AU5ye/FMwCYcgDpN48XaOpboOtvZHaj9TOa35Zw/Z4gtah+kklwQ7GC1YeBTFO6orGa23c7Xm1owgdtiUW6LRXm9pn5ELVgj1ajZOMo9urdnVxTeqK1nl5YmOsy+fYXdkpn/f6nr7NC8hoeqaplms7Gz08mBThfP5IT5XkwlmN60mmeq65g7yPb+ttfPXbEoqw2Di4Id7O904S+yP1aqKk2ZsU1bu4opqkYSi9sqqtmqn1DCB6kkR7a3Fpz/j4oqzsm0dj2RiLNRJowSsSyeTMQ5weMdcMx9FQsvvp9O8X5XdzSu1TC4vqJqWOsczP/iMR5LxAmbJq+lknmX3VRRlW2Syw2S/cjX/RobyQSV6tTizRg/8gf4bTgEwK2xCN/yFQaYPkl3R28OdxUGA0WvWTY7T2eeG/fGY1wZKC8a7huOy/1lVKkqD2aCUQAnDnOfHU88qsocm5330qm8BsTRoCoKb2Ze2wB6XqV+4Atwgc9P1LKyock/llWQhGx4GOBsr5/dHS5eSCbYwm7njI42DODtVDIbNOuPTVE4cJTChWOh57VeG38ZOCGEEEUoHvnMJYQQQojJa2J+My3GFf/RR5R6CGI9WL3VTrw/d2derNuCh806HntvjYTMhBBCCCGEEBsURVXRnHLkViGEEEIIIcTQbXXakevldrYkwKHUMRMvVzKHc5gGwG5U5C13Ao1FQ2ZrSPAewWzIDLpDWa/QMabjHkvzCLAT5TRS2PzTSoqnaWM+QdZm+piimMyjOxTwP1ow+vSKqKicy/SCbZrCQseimRQfEuIavmJtZtr8QCGz73n9NBYJlIQti/8LdTG3eQ17tjSxaoL+HlepauzgcPYbMktbFg/EogBsMYQ2M8OyuCkS5pj2VlYbBjM0Gw9U1bCV3cHziTjxPm1C/4hG1v1OjANuReWlmnoCOc/b6f0EkVpMk91bm5i2dhXT1q7KC5nlOrCtmWWD7FeqovBkdW+z31bNa7gtEiZmmpimyYepJLpp8tNAWd4rymrToM00+Xp7CzPXriKdeVxeSiSy4+obMqtXVI5xu7Mhsx4rc1qnns9pPBqqqj7BoYeqavJOx6zR7Q56KZHggmAHTybi2ZDZLJuN/Zwuvufzs21O49vKnO1fo3WPs2c0S4y+PU3dvu0LZF/NFvXz+EWsTOjPNrrBoMnmuJyGPh04tL0Fs58w51Btardzub83mF2vaqMe0FqfEpbFJ+nu98ethxgEHo47o9G80z/1l3GRP4BdUbIhM+huWXQVeR/Z1G7n2z4/ezpd+DKXf6EXf+5MFDHT5OFMUHEXR/HWQiGEEOOLNJoJIYQQYjKTRjOxzpxbbgF2O6Qn9pc2YmBLO5Os+OCLUg9DCCGEEEIIIUrG4fei9DNBTgghhBBCCCGKmbb79iW9/TpcXMFsLEDtp8XsM8Lc36f5rEcHacLo+Cfgz8pOVA6hlvfoYg3NeZe1k8aNShgdNypxugMGnxHFiUITSeYTZNc+oTKA/anmdTqzp6fjIopJGpMudAws/sYK5uDFiUIyJ7B2bVkFc+12KhSVqTYbP/AHeDmZ5PTOtqL3YZmhs2trEysapgKw2tC5oivIjg4n3/L513kblYphWVwS7ODddAoN+KG/sJkp15fpND/s6uDDzO/Rh7ncXFNWkW3Yei4nUPUdr58bo2FeTRUPWU1E5arKYzW1XBjs4JN0muVmdwCrXlX5v0A5tZrGie2tJAdZT649W5tYUNdIYIAWp3JV5deBcn4WCmIAvwh38YtwV94yFYrCwS43TxYJghnAJk2rBx3LWT4/d8byg4FOutvapmsayw2DF5IJgqaZF0AZTN9wyqXBzrzTU0YxBPRYPMbFwd5grgLs5XRyU3kV3iJjvjvWG7LxZsbpVxTClsUq3ShYvsfmdgcfpFO8lSp8tL9Ip2nNhKWGs502NJZlcXkomHfeQl3n0lCQP5ZXrtO6c1+L5tfWr9O6Si1hWZkYNkzRRv8zQKvZu5/v7HBwltc34nVVqSpdhsEyo//nznj3YSrFL0KddFom0zWNQ8dx65oQQoheqn/k719CCCGEEOOdfLsk1pmVTEnIbAOQSqYGX0gIIYQQQgghJjF3ZdngCwkhBKCo8t+6/ieEEEJMFslwdPCFxpiC0m/IDGARA4/xWpbQxsT9nWgefqbgyjuvGjtnshEnM4XN6J0caAL7UA3AM7SygsLwjIJCFb3tLqcylQuZwSVszH5UYcts64V9tuubtfUc5/Gypd3BVFv3pH1FUdjb5eLfldX9jv/4TPPOgnSKXVqaeCaZ4KpwF0e2tQxjK4wflmVxedf/s3ff0W3V9//Hn/dqb1nedvZkhBEIe4+y996F0kJZbYECbekP6IJ+KdDS0hZaZtmjQCmjFMreG8JOQnY85aE97/39IVmWbHnFcmQ778c5PtG4uvejq6srx/e+9OriiVgUI3BLRSV7D3BCfVjT+GMwwMHtLXyUTOJSFK71VPAXry8XMgPYLNuI5lAUFmSbd5amUqycoG1wxcw0mnjIV823LL3bcrOmcXZXB2/E4yypn8Ilzv6Bvber61hVPyX3k29ByzqmNa3heH8bnVrxgMZpDid7WaxF7wPo1PWiIbORuDrYzY+cbnr6vuYYjLnQ3LnZ55QA7ouMrKXOqCjc4q2kJ072Tbpwezg8r9VqNNrSac7r6qDnjIlnq2pYWtfIP3zVRUNmAH8JB3OXrwsFeTceJ5htWPMP0qy1nzXzWqxJp2lJpfhDsJsuTSORDW8CfMtiHZNg0GTxdiLBG9mg3k1eH1OzgcNHohEeiYzuM1vLCxZP9C+rcuWNPzDKtrdifuH25i63ptOYRrG+6rLbe1N6Yu7zV6RSHOlv5aNkEiPwc7cXwwTffoQQYmOhVvT/YhIhxIZV7mNZk+FHCCEGIrsIMWqqw47ruKPLPQwxhmLVtTR//k25hyGEEEIIIYQQZWWv9JZ7CEIIIYQQQogJxju9kfmH7V3uYfAyfq7ia67ia9JorCNGlEywZHOGbsb6CyvoZGJ+8aQFlZNppAELDlT2wMfZTOcbIrSRoAFr7qD5OUxne7xMzQbTHmYdel5woMep9AZ2rqP3GNpuVHIps3Pzy28z8w5y9s6uFiv/qqzud/v1ngqu8/ro0NIc728ruO/DZIJX4xOvtevBaIT7o2FU4Eavj/3yQmZJXeelWIzfBro5sr2VLVrWcV0oQALYx2Llf9V1nGDv3zZ+aDYwFNZ1zsmGbRyKQm0JG6vGA4eqcpuviof7bCu/CwVI6joXuNysqp/CfGNvyKjeaOT+cIg7s8GmVfVTOLJPwOrNRJytWproKhImaUuneTm7nf3W7eUYm52FJnO/6QAqFBW7ouBRFGYbjOxqtgz4XLY1mbHmBWCPstn5uq6RVfVTOCevre+y7k62N2eWd3NoZEEzgANtNpbVNfKfqhoe9lXzR6+PWysq+aCmnm0HGd9I9G2F+06nn69Sw99fXuup4Py8NrRT7Y4Bpz3ZngnGasB2bc3cEApyaHsLN4YCfJZKUqGoXOORE54H8994bzDyMJud+3y976eLujvpHkWoqkrt3eec3+nno0QCXe//GTIRGBQFZ3ZfG9BLHzRz5r1vthnle3F2dp/XMQaBuA3Br6Xpifq+VF3H/tJmJoQQE4bq85V7CEIIIYQQY0a+xkiURNWVPyX6xluk1qwt91BEiYWnzuB9zQ10l3soQgghhBBCCFE2FbOnseNFZ5R7GEIIIYQQQogJ6KC/XEXTh18QWN20wZf9Gh28gp9EXuDpVywtmMbF0GEcDYiSpiKvyWu8e4NOlhDieBqwY+C7TEMBUuj8jVW0ZVvajqeebzMVHyZc2cPnm+JiNTGCpImg4eizjrx56yGOxsv42RYPToyYUTmRRu4lc9xUAb5tcwzYbNRjodnSr3GqxyVdnbm2o3wnd7Rzs9fHQSVqZhpruq7z92zg6WKnOxcQ63F5dycPRCMFt00xGLjE5eEIq23AhiCvqvIXr49z88I6x9kcWMvUCPNSLMYMo5EZxrE5HWMHs4VPahtY1LIu1zX4/U4/t2Wb8SpUA5Bp9jmorYVPs6GnoJYJo93o9bGr2cLF3Z0F8/0ymWRHS2HgY006hQbUqwZOcjg5KXv7zaEgVwe7Ocxq46aKyiHHvEdrE8vTmSjFCTYH13oreDoa4fvZ1+zXwW6uzDYczc5bbzubLexgtvBOIkHdegYHVUVhswHCcaVgURS+rmvkBH8bHyQTrE2nOai9lUpV5Uq3lwOtNix9tkUjPa8QeFSV5myj3I+dbr7jHDj861VV3IpCIG9/sDKd5k+hzPvqao+XmkkWsCw1W/a12DLbfjjdaOQ2byVndvkB+EFnB3dVDtwyOZjdLVYOsdp4MhblyViUJ2JR9rVY+VtFJcYJ2FDlUlRCepqgVtqw3KpUit3bmnPXe16L9bUg22oZ1HW6NA3vEJ+34405u23UqQamjdHnhhBCiBJTVcxbboHz1FPKPRIhhBBCiDEzsf53LcYtY001Df/4O8gfLScdW/M6vBXOcg9DCCGEEEIIIcqqc9kqwi3t5R6GEEIIIYQQYgJyN9Zy8tN/w2De8CGt52kvCJkVE8z1aAyuYwI1mv2DNfyXNpYT5W26AFBRUFD4mnAuZAYQIsV0bLgwEiPN7azmv2Tawxbg6hcy63EiDbnLL+LnBr7hCzJhj7k42IPMt9vrQFqB8Ho2rWi6ziuDNJetTg/v9RsPXk3EWZLKxGv2tFr73Z+/hV3vqeC16jper67jSJt9wJBZj0Nsdm7wVLCZ0cSBVhsXudylHPqAmtNppjWtYVrTGv4WCvKjrg5O62xn97ZmvtvRTnqM2oy8qsoBea03z8VjfJxtTzohL8D3aV6z1u9CAa4JdPF5MsHriXju9pkGIxc4Xexg7h/G8me32yYtTYfWu63NzIYhVqRT/R5TzO+9vW0P33ZkGrv2sFipygZCbguH+DSZeV+a8l7rbc1mtsmOazyfiWBVFB6urOYUuwO7omAis+5+0NXBfm0tHOtv5cKuDt7NrvfdLZntvyf01BMtsQwji3S5y0O9auA0uwN3n/fFQdKENKSDs+vok2SStdnt91s2G7tlW7XeTsYHfOxQrIrCn70+fu+pYNNs+On5eIxTOtqJTcBmM3t2+4qWcOyaprFrWzP5n4gn2QZu8RuOI212DGQ+b38R6BrVvMqhZz/QrKX5KjlxftcSQoiNmqaR+PgT9NjEa5gWQgghhBguCZqJkrFssTnuE48t9zBEianJBFssfoNF+2xb7qEIIYQQQgghRFm9/7eHyj0EIYQQQgghxARVs2AeO/zwtA26zKv4OnfZjoqP9W/JaMDCFPoHg8ajTwjwDb2tWE0UnvwXpzDw9RRtvEcXQVLcy1pWEQVgJjYOpXbA5dT3WR8a8AjNuWXvSSX7kGnFuTcS5uD2VgLrETZbm06TH3uoUlWeqarhs9oG7qqo5NuOifOFkX/Oti4BHNzeym/6BAL2tvSu0wpVZZrROGTALN8xdgf/qa7llopKPBuo0ebMzt4vpfl1sJtH8xrZ/huPcU6nH32MAibf6hMqOtTfyvTmtfyoT1NZvr+GQxzQ3pob58l2By/X1HGJy1N0XbuU3vW4dUsTXyeT/Dsa4XudmfanT5LJQZ/fa/EY3+/0c4S/LXfb7GwAx6GqfFDbwKHZ53FQeyt/CQXYIq997OloNHf5s1SSO8MhbgsHeSEWxZ9O89dQkJP9bXSvZ5CzlEyKwtWeCr6sa+T1mnoudLqpVlWWp1O8nUjwz2iEo/1tfJpM8GU2TFKRXb89QZPhBEdPdDh5u7aeX3sqmGfsDTA7FWVE75eN1ZN521Qyb9M93p4JaEZ0nT+HAus9f0VRONru4OmqGi51uTEAbyTinOhvwz+BgsHQu12+m4jzv1iU+yNh/hgMcHc4hLYe+7UlyQQzWtYV3LaitgHzKPfXVlVlr+znx5PRCFre/uCyrg62aVnHif5WQuNgP1HMLIORrbKtbid0tEnYTAghJgpdJ/SPu8s9CiGEEEKIMSNBM1FSvh+eV+4hiDGgKDD3o9fZcs9tyj0UIYQQQgghhCibKTttXe4hCCGEEEIIISaw3X72fQyW/o1BG8KlzGFPKoc17eHUsjs+9qOKw6jlEmZxFtPxsuEb2dbHO9kGsx7+vJ4sDZ0W+n/r/JO08iHdrM7epwKnMQXLIIfTP6E3iPA9prIJTtLo3M9a1hBFQWE3fGyLBw34Jp3irE4/q1OpEQWPPkz2tq8tMpl5vaaOzU1mXKrKXlYb1vUIlqR0nXXpFNOa1jC7aQ13h0NENG3MAlE9Pst7LgC3hEPcGg7mlrsor1HrO9kg03i1KpVi8+a1LC4SCLDnvSb/icc4wt/Gg5Fwydfv4TY7S+oaubWiksOsNqwMvi0UewcPFRbpu33t297CeV0dBbcNNofvd/p5OtYb7LmjorJgnpqus0O2SQrgt8EAD0fCueuXuNzk7zWvCHTxi0A3Z3T62aOtmWuC3byaiPPtjvHVQl9nMHChy80L1XV8v08Y9PSOdtqy7XCH2zIhu55g5BPRCIlhhmEu7urgvex7qkZVucdXVarhT1pPRyP8OZwJvH7P4WSGsTeAvbWpdzv8v2BgvYLB+RRF4Xynm3t8VbgVhfeTCQ7zt7I0NXFCRHY18179XSjAGZ1+Luvu5LpQgMsDXXwywjBUSyrFPu2tBbd9UtuAWqJQ8C/cXgDiwE3hEL/s7mJa0xruj0Zo1zReTyT4ZzQ86DzKRVUU7vZVs8Bowq9pHC9hMyGEmDAs2y0q9xCEEEIIIcaMBM1ESZlmTMM0d3a5hyHGgKLApl+/j3dafbmHIoQQQgghhBAb3Oz9d+WQv15V7mEIIYQQQgghJjCr182MPbbfIMv6lAC2bOhkER5ew8+jtAz6mEV4OIMpWFGxoKACjVhxjKIJbUPoIMGnBNGzcZfNcAFQlY2ndJAklW0xe5NO3qa73zwqMRY0vmlAjMFDBtviyV1eR5yjqWMmdpLo3MtaWrM9ZIdSy/Z4gUyrzS5tzRztb+PteLzYbPuZZTRiRWFXs4X7K6uxKaM/xP92Is6Orc0AJIHLA11s0rKO3wbXv8VnOG6pqOS3Hi+vV9flbvtloJvpzWvZoaWJHbJjGu+WppLs2tZMsE9I6x5fFb92e3mvpp6v6xpZaDKjkAkLXtLdyd/DIQA+TiS4PtjNylRq1GOxKAr7WW3cVFHJh7X1XOZyc7TNzgGW/g2EO5jMfFRbeKz39UScx6IRkgMEzqYbDWxnKgzIWoCjbXaOt9l5uqoGVVFoTqfpKhLM+b7TlbvsVhT2zBvXfZEQM5rX8vM+zXYXZxvZjrDaOMhmZ5HZwvccTg602tjTkgkD6UAgb8wfJBO0jMO2KI+q8jO3lxV1jRyUbW5r1bRc/NWY3U+f78ispy5d55bsdjKQLk1jWtMaHs620u1psfBmTT3b5AX2RHHXBLvRgaNsdv5fNpjUY5rRyIN5Yb1vShQI28Vi5fGqGqYZDKxOpznR30ZwnDZr9bWfxYYFqFZVFhhNBa2TbyT6h7YH87e87Xpns4UVtQ14S9g8OdVoZEG24e+6UIBbI/3fR7WqoWTLKzWvqnJfZTUeRaFD07g+2P93FSGEEOOL56eX4Tjl5HIPQwghhBBizIzvowJiQrLvsRvdS5aVexhiDBgScfZnHa17bck3gRQr3/+i3EMSQgghhBBCiA1ir1/+EIO5PM0DQgghhBBCiMljzoG7sey/r43pMhJoPEJvYOc9upmObdDHTMfGnlRyPd/0aSdqZzo2TqER0zj8DtO36OQ/tAHwJlZOpZGabMAsgYYKpNH5NUupwkg7xYM9flI80ieI938s4yrmDbjs/9HboDQVGyZUTqCBf7CGtcS4mzV8h2lUYOIgamjEylvGbppSUd5LJji2o43/VtWyiWnwprgFJjOf1zVgINOQUwpbmIr///YfkRA/cblLtpy+drFY2SV7+dHKao7yt+Xua9J6Q0IK8HFtw5iMoRSuCfQPAKyqnwLA7nlZn39V1fBVMsmZne2sSqf5dbCbOyMh1mQDUUtSKW6uGF7T4HD4NY0vkkl2sVg50e4gqGns2NqUC8QZVYWWdJoFRhOfZkM0q9JpftjVwZ8MRh6pqsanGnguFuXMQRrlTrE7udLjzV1fmkqyd1vm/fNDp4uLXb0hzPOdbuYaTZzT6Seg6xzub2W2wcTKdIoP+jTc9fV7rw8Ak6LkQkEpXWdW89rcNJe63PwtFKJL19iutYk7KyrZ0mSmUlXHbDteH6qi8GevjwejYW4MBnPb+5/CQeoNBva3WugpSbw7EhowEBPRNW7LC9DUqio3eSsxjaPnOl69FY/n3nvf6dMy12MnixUzkAD+E4uxdYnCe3OMJv5VWcOi1iZaNI2TOtr4V2UmpDmeneV08T2Hs+C99I9wiJ8HurgpFOQom4M6w/DCW5vmfdZd4/GWrMks3289FRzi721Nq1AUFpktPBfPhOKmDHOs5eLX0nRn99dzh/jdYLh0XeejZAK/pvFwNMJCk7kgACyEEGL9qLU1uM75/rj6fVMIIYQQotTG39EAMeFVnH82ilW+LWuyMiTi1C9+l11WfsiULQc+uCaEEEIIIYQQk4ln+vg9wU0IMf4oZE4Clp/1/Cn3CyiEEEKMoW3POh7PtLH9/4Wf/uGNlUTZCS8NFAaMZmHjEmZxOlOIolGs02glUR4fog2tXD6it4FrLTHeoot6MscpA7kes4yBQmaD+YqBm4W+yLuvLrtMCyonZ8NuQdL8gzUks6PYCjdnp6ZyBL1tXsNthDFmf08qlUheE9RN2TAPUPT1HyuLzBaOstn73f5WTR0r66eUtOmmlJK6ngst3OerYlX9lFzIrJj5JhNPVtXmrq/Ja916OhblhmA3r8Zj6AM0ig3XZ8kEu7Y180QsymXdndwXCeFSVX7rqchNc7HTw+kd/lzIbKrBwEVONwBL0ym2bmliWtMazh0kZAbwSDScu9ycTnNeZ0fu+n9j/bfp/a02/uytxAB8kkzyWCxSNGSWv4Wf43BhKLLNG/vcdqrdyUUud+766Z1+tmlt4jfjsA3IoCicZHfy78pqtjCacs/3Z4Eutm3t3cc2axo/DnQW/bki2M3KvG3onZp63OP0vTJepHWd0zvaOa6jjTSwudHE5saBQzz12TDSv2ORko6j0mBguiHzXeAfJ5M8Gi3t/MdK38+ek+0OAEK6zn9i0WHP561Eb4tn4xg1i21pNjPHmFnH1arKmzX1vJu33CrD+P4u9hvyWkWPszlKMs992ls43N/Gdzr9PBOLcnWwmxdG8LoJIYQoztjYiGIc358rQmws5HicHI8TQowd+YuTKDlTYwPes84s9zDEGNN1SKVGfkBOCCGEEEIIISaie/Y/k66Va4eeUAghhBBCCCEGYbLb2O/6y8Z0GVWYcRQ5DOzFxFnMoDovbLYZLhwYUVCowoRtgMPHqxl/JyVHSNNM5gTyvcm0Qr1DFw6MLMIz2EOH7X7WESfNR3TzDp3cy1reoZMP6SZMb9jja0JczzL+wHL8JDiVKdhQ6STJWnqDN+/SxeN5bXOWEobHRuKbbNAI4Prsie0VispDldUlDbQN5Q9eH/+srM5d/6y2gYZxHgTIDy3YhrmuvKrKQ75q9rZYOcXu4HibnZ6YxR9CQU7uaGfXtmbO6Gjn3E4/d4UHDjgWszqV4sD21oLbfhXopimd4lCbncU19bxTU8+WJlOuSWtvi5WXquv4kcuNq8/ziDM4BYW0rvPPSJgD21v4Im97+iKV5KZQoN9jDrTZeLiymgudbn7u8nCJ080NngqW1TXyXFUtK+oa8Sq9+59zBmjc+STRG1B7trIGj6pyusPJBzX1VOUFrv42wnW4IdUYjTxVXcuXdQ1sMsAJyoYiPz32Mlt5uqqGlXWNG/T9OlF9kUryQjYcOsdg5IHK6qIhxh7nOTLb3up0mj8G+2/Lo3F0Xrj2kQkSNOtrXV7QcW+LddiP+zzZu58wj2E48vHKGv7kreDd6jpi6HTlhXg96vh+vziz+8CtTSamlyC88HEiwdIi5/QskfN8hBBi1BIffEj72eegyz5VCCGEEJOYBM3EmPBddAHG6VPLPQwxRto2X8ibM7ah+fNvyj0UIYQQQgghhNggWj7+kg9ve6TcwxBCCCGEEEJMApsevT+bHr3/mM3fhIqNwrYQGypbkmn9OZ4GpmBlHo7cbZAJj5zLDNx9DiGbgIOpGbPxrq8VZE7Sr8bMh9lmswhprmcZB1PDFhQPqgCYs9/ZPIf+jVp9T0O/hmU8TgtP08YSwjxNG//q0/D2Ht0ESdNFko8I4MKIk8xJ4vk9VU/RGwaqVlUOsNiG+3RLypEX6Fmezpwcea23gi1N5oEeMma2M1v4uq6RVfVTcE2AZqb3skGnnc0WthnB+trRYuFOXxVXeyr4ndfHf6pq2dRooidKsC6d5n/xGE/Govy/QBd7tjaTzAYkQpqGNkDj2VfJJLu0Nfe7Pazr7N7azE3BAFu0NrF9a1MuVNjzuJ5muwuc7oLH1mZfB7uisIO58DluajRxj6+Kmc1rubC7E7+m0de1A4RzFpktXOhyc5bTxQUuN8fYHZgUhfkmE6qicH5euOypAdqknsgL58zPC2JUGQw8Wjn+9lODsSkqLqX/Nu9RFJbXT+n3s1c21HOIzcYCk1lCZsM0Ky+8ep23As8Q+5lLA125y4+VOAx2iK13n780L6A5kfTsN+yKwrQRhKG+zj7fsd5q3arK4TYHqqqS1guXZyvyfhsvVqdSPJNtGtvPWprfDVame8MPp9h7G9L2sw4/IDgR/TUU5Oj2Vj5K9G/OFEKIUor++0liL79S7mEIIYQQQoyZ8fu/aDGhqQ47DXffhqGmeuiJxYSTMphY8f7n5R6GEEIIIYQQQmxQ/q9XlHsIQgghhBBCiElAURQOv+NqZu6945gt4zgacOSFzc5kWi58VoWZ7zKNk2jE3OdwsQsjAQqDI0nAz/g7IX55Nmg2Ezshek+mDpLmedqpxTLgYxPZ+Nc39A8RuBl5i0h+sC+BRitx2uh/grMPU+7yDmYLvlEEq5rSKS7q6uAUfxsn+Nu4ORQc9mPnGo00GgrDiHuMoJmm1KwDBGbSus4LsSjNeQ065dYTzHsjEefmcKggLPJVMsm0pjUc2NbCg5Ew7YOMe77JxH+qalhS18jHtfUcabPnbR3wTTrF7Oa1TGtaw2Yt6zi+o63ofP4v2F1w/dduL/+tqgUyzWTX5rWL/THcu42s1dKc0+kHYA+zBWteHKMniBnRdd7Onqi/o9nM57UNPFtdy3PxsWk4zA86rijSDvFkNMytkUxTmVtRUPu8f2YYjSww9q7FDxNx9AECeuPFIXkNV0fZyhM8nezsqprbLq4PBgbdJg5rLwwRL0uXtqWkKW+fcFJe8GcieSvb6hjRddIjeH85svv5BtUwxJSlU20wMCcvDPdZcnwGj96MxzjU30qXrlGlqhxm7R+CXx+HWm0cmZ3XPZFw7vbE+N4tjsrx/jauCXbzbjLBYf7WoR8ghBCjlFq6tNxDEEIIIYQYMxI0E2PGsul8pj7zGKa5s8s9FFFi1Us/Y6u9tsXkkD92CyGEEEIIITYelfNnlnsIQgghhBBCiEnC4nJy8n9uZdE5J47J/GuwcDGzOJo6TmcKVQzevPQMzVzF11zF19iLHEL+L8VDLuX0TV7QTO3TkfIGnbyCf9DHq0DfLqZGrBxHPbYRHkY/nBo2xUkDFvakkkfpbZgy5o3te0zLXX4yFuXQ9tYBm6oGc1c4xO6tzTwSjfBKIs4biThXB7tpG2Ygy66qPFNVy4k2B6fZHXxYUz9g2Ktc/Ok0p3W0c3qnnwPbW3g3G24ot2je63VNsJu921o4uL2F73W0861sSOWzVJJLujvZprWJXwW6Bgy2KIqCQVGoUA3c4PWxrH4Kq+qn4C3SuvN2kWYWXdd5Ph7LXf97RSWnOZxsYjKx0GjqN70TCsJsnyYTpDSNQ/2txPK691ZrhdvR/hYrN3krcWaDXd9zuDhwgMadvS1WVtY1Fr1vKP/IhsgAjrIVBi1ejUU5t6sTLfsc7vZVFZ3HJqbeZ3i4v43pzWvXaywbgq7rbJvXGPdSLDbgtDFd58V44f1dmsbx/ja+3+lfr/3IxuQilxsFeDUR5+siIUaATxIJPkr2D1XHSrhuF+fN/8I+TYITxXV54dY1IwgB97SfrdXSNA3wGoyF37i9ucu/zGurGw90XefOcIiTOtrp0DQWGE38u6pmRE1xg1EUhd97KzjT4czddr7DVRC+m0yWpZK82ed3hUiR1k0hhCgl47y55R6CEEIIIcSYkaCZGFOmaVOZ+vRjeL9/ZrmHIkrIGAmz+eLXOXSKkdpN5ERLIYQQQgghxMZhyg5blXsIQgghhBBCiEnEYDJx8F+u4rh//omK2dOGfsAIqShsgZsZDN6MkUDjbXpbjyL94ldgx0Ca8RNk0NHpyLas1WFhB7x97u9tLRvIwdSyD1VcyEyuYh6XMJsjqKUBK7viYzs8zBtk3VVh5ifM5krmoqJyPA2cxXQqMRMlc/L9PBw00tsUZsPABczIXf8kleTJ2MjaoRYnE/y/QBc9p1K78wJiX6SG3zznVVX+z1vBrz0VVBoGbph5PBphh5Ym1pW42Wcovw1282r2hHG/pnG0v40H8hpZyuUqt5cfOl3sbbEy3WDASCY88my8eEjo7+EQD0Z7m/P86TS3hoO8Fo8NGED7pK6BX+WFIwayrm8gLC/81ZR33wyDgVX1U/i8fgrL6qcw25AJGQSyyx+q4+fZeIyavG3ErarcUlHJ+zX17G2xYgFu8Vayqn4Kd/qqUNYztLgwL3Rl7jOP1/LCA1uazCw0F28s/LXbyyZ9QnbBcRg06NDSTG9eyyHtvY07HYMEmh7O2/Z/Gehiv7YWtmxZx5uJOE/HovwtHBrwsQL2tdrY3ZLZZm4OB4u+9+7KCzqebuttGzuqvbVkzXhz8wI+l3V38kQ0wh+CgYJmxPFM13W689bF9BEElr6TF3Z6ZoSfe6Oxo8WKJ7s/eTOR4OMiod1yiOs6l3V3ckWgizRwhNXGo1U1NBpKGwJTFYUrXB7+VVnNx7X1XOr2YBhnwfJS+V0w0O+24wZoAxVCiJJQVSwLF5Z7FEIIIYQQY0aCZmLMGbweqn91BVVX/rTcQxElZvW3sU3lwAeehBBCCCGEEGKy8M6cwvTdF5V7GEIIIYQQQohJaNOj9uM7r9+Pb870sizfPIxDxhHSPDuOWs0UFNxkTsa+g9W8QkfR6ZwYcGCg7ynVP2UO2+JhN3x4sh1PDgxUY+E9unmOdt6lm9UUDw+ZgONpwIoBpd/ce+2Or1/bWk8IrcefQgHiIwgx/KHPidSBvMf6Sxio6dTSHNbewg+6OmjS0uzY2kxI0+jQht9gM5THoxFuDQX7hSyiupYLZy3ICw1d2t1JuMyhoTqDgYtdHu70VfFKdR1/r6jkW5beMOEpdger6qewoq6R47OtXJd2d7I8leTjRIIj/K38MtDNSR3tTG9ey/XBbtqLtAJ92+FkVf2Ugtv6hv0+SfSut74NYM3Z9aQAr9TU525vSqX4JjsfDRjuq1ksaFNtMHCnr4ol9VM40Fa84Wwk6tXe487XBgMFy7wsr/3p/eTAQRG7qvLf6tqC21zq+DstZnVqZO+jgN673XfrOl/2ec/8Ky/MKIr7tj0TdPpnNMLiIsGu9nTvOv6lt4ItsvueT1NJvtvpL0nYbC+LlQucLgAeiEY4v6uDG0IBvt3RPup5bwjv5r33fu+pGHC6q7o7mda0hgXNa7km0MXClnX8sKszd/9nGzhYd152nQM8Hi1/YLk5neZ4fxsPRCOowOUuDzd6fWPWLKooCgvNFirUyX1uT7FW10+SSdZswAY9IcTGxX7oIaheb7mHIYQQQggxZsbfX9TEpOU972w8Z5xa7mGIEvN++SlTtppX7mEIIYQQQgghxJja7Wffx+x0DD2hEEJA5q+u8jO6HyGEEGIj46yt4tTnbsfVWDv0xGPgAKowDzHN+3RvkLEMV8+vDAEGPoE4lO1hy48HHEINlkF+4XiK3oah6VipoH+7SCM2qvussWReE1zPqeJP0MKtrMr9/J1V3Mrqgsd9lUpxS6h/C8dABjoN3aeq7GEp3vI0UmFN48wOPx8lC8MAm7WsY+uWJvZva+GLQcI+w2UGKlSV4/2FIcZ1eSeLf5oNJOyQbbsaT00siqKwj9XGbb4qVtY1sri2gd9km8hUReGqvFayPdpaONTfyso+J8LfGAqyU2sTl3V1Fm01OjYvQFbbJyTwSd5r8NsBQh+uPutrv/aWgvfD3JZ1gz1FAK73VKx3S9lIbJvXUvZMLMq/81qP1HEYFhuNLU2mAe/rLhJoKtZy9KO88ExrCQOgk9X0vHXoKLI9LzT3vibt6RQP+aqYnm3yey4e45fB0X8GKorCJS4PR1gLg5mriwRkxiNf3vvwz6Egx/vbeDYa5YVYlB92+bk5FKBb07g928AX0HX+Gg4VhKANwJG2wZtWS60+77VPlLmc9b1EnIPbW/ggmcCtKNzlq+Jsp2uD7GMns4cj4VwQ8lsWK89X9f4+/YOu4l9GIIQQo+W54uflHoIQAsp/LGsy/AghxABK27ktxCAURaH6ml+QWtdE+Nnnyz0cUSKKArMrbawp90CEEEIIIYQQYgzNPXiPcg9BCCGEEEIIMcl5Z0zh1P/ezh27n0zU37VBl70DFTzH4I0qC8i0wVzF17nbrmTuoI1eY2UFkQGXuysVvEZvc0okr7PJgMIsip/gnkanmXjBbQdQy+M009knzLY/1bnHfEOEjwnwNWH2ppKp2HBjoosUrQwvjLV0BG0b13l9PB+LYlMUNjeZeSkew6IoHG+zo5boRPVzuzp4L3vC9uFWG//KC/wAfJFKsn97K0vrGjGPYpleVeU33Z3cXlFFTNexkDmmPNtookE1sC4vPPN2IsGRNvuYNb6MlqIoePqMzaGq1KkGmvOeh1tR+FdVDevSaT5OJvhvLMpHyST3R8PcHw2zj8XKGQ4nO5ktmBQFU3ae843GgpDd24k4fw4Hc9f7rheFTMAy//Yfd3XkQkxmKNg6q1SViK4zy2Dk/spqPGUIdtUZDHxZ28Aebc20aBrXBwMcZLVhzD4HKxADtjQOHNIqRtf1cRfiUBSFVfVTWJZKEtd1NOCg9kzItVhc9ACrreA9sYnRREdeeKeUbYaT1a+CXbnLVUWanY61ObghlHlP7d3Wwid1jVzrqeD4bNvYbeEQx9jsbG4aKpY9tD94ffxC11iXTnNgeyvVEyRIOcdoYobByIp0iqXZnzcTvZ+bjxHl6j6tm5DZ3yjAITY7v/f6NtyAs3YxW3L7xIeiYX7h8eb2K6X0VTJJAp0a1YBLUbAqSsHn8v2RMD/v7iRJ5j3894pKphvltL3R+k8sysXdmd/7KlWVaz0VVBp63+PvlSAYL4QQfZm33QZjff3QEwohhBBCTGDyP1axQSkGA3W3/Ik1R55A/MOPyz0cUSJVq5eWewhCCCGEEEIIMWYaFi3AVV9T7mEIIYQQQgghNgLVm83h5Gf+zj/2/jaJUGSDLfcOVjNUn8rHBNkRb8Ftv2AJP2AGviH70ErrTTrpoH/7E1AQMlOBY2lgOjbeppPp2Acc69O08jVhpmKlGgvTsBIgSROxgukuZRZ2jHSS5G7WFIzjP7RRh4VTaGQ1MTKntWdOMlfyltO3hW3dCNqIvKrKMfbexu3Tjc5hP3a4EnmNSluZzHzH4eTeSJgDrDZeice5MxIC4OxOP3f4qtZ7OTuZLXzX4eLcLj+r02lOsTv4jduLoii8WVPH8R1tvJVIMNVg4CibnYtdnlE/tw3tuw4nv842Ic0zGvlXZQ0OVWW20cRuFivnOVy8k0zw91CQ5+Ix/pf9AZhpMLI8ndlW9uvTgLSqTzjxjnCI0+2OXKBKBdLAgmwoJqVpPBTt3af0nHbvVhSer66jztA/eFMOdlXlQKudOyMhlqdTvJGIs7vFCpB7JzqGEco50GrjmWxA8tfBbv5fXrvceDI7LzT3PYeTv4dDRV8Lq6LwQGU1u7c1U6Wq/MTl5uxOf+7+5XWNG2S8E9mKVGY/e6rdUTRI2ZgX+OkJZG5ntrDIZM4FVc7r7OClmrpRj0VVFCoUA80TpMks3+89FRzZ0TbkdC5F4Qy7k+3MZvbos//a0KqynyH/jEaIk2l2fKF69K9jvmWpZL/GSIXMeqhQVdLAmuzrfaDVxg2eimHty0Rxuq5zfzTME9Eob2TDjvONRh6qrKYiGyTN/wz9NJnIfR4KIUQp2Pbbr9xDEEIIIYQYc/K/VrHBqQ479bf+GcbJH6vF6Fk6/dTMn1HuYQghhBBCCCHEmJi+5/blHoIQQgghhBBiI9K43ZYccOPlG2x5cdKs6hOm6nE5c3DmHVK+hdX9pvkjK/gtS3mAtaQLTrEeOzaGd5xxPg42xYkdA3tRxSzsJNB4lCZewk9LXoNZCp0azKTQOYxaKjFzO2uI5z0nM0pu2R/QnQuZTcWKNRslaybOKqJsipNNcWX/dbJJ9mc7+oel3HnBsVJrSqe4oruL64PdPBwJsyxVPKCX7yd5ga5fBruZbTRxndfHvlYbv/R4c/f1BKIAWtJp/hwKcLy/jWlNazi8vZXIEC1Ly9Iprgx0sTp78v09kTDPZeepKAoPVdawqn4Kr9fUT8iQGcBZThfXeLzMMhj5bZFggaIo7GC2cKuviherazkpb1voOUEe4Hhb4TZyqM2OV+md15WBLr4u0oy3nTlzYv1V2bBbvk2NJp6sqh03IbMeR9nsuVav73b4eTQSBjKBDWBYsda/5LUm/T0cKvEIx8YW2RDEVEPx74ueYTSyqn4KH9Q2MM9oyu29HvBVDdnYFtI0liSTPBGN0LWRtp8F9czznjdII15Fdj3qwIeJOEZF4ZHKanpiUhF9/dbd74PdbN2yjiu6O4eeeJzb1lLYufd9u5MDrTZ+4fLwdnUdp9jsXOZy81ldIz92e8oeMuvxnbx969JUquTvA4ei9vsNSAcCus7KdJo16TQKcInTzc1en4TMRuG/sSj7trfwk+6uXMjMAtzj6w2ZAfzA6cpdPjLbGCmEEKVi3X3Xcg9BCCGEEGLMSaOZKAvTtKm4jj6c4EOPlnsookSmNFbS+tWKcg9DCCGEEEIIIUpu2q7blnsIQgghhBBCiI3Mlqcezqu/uZnOb/oHu0qtfzQloxITJlTOZQbX8k3RaRwYCJMmhsaXhHmAdZxIAyqDhx5Gaz+qmYGdNDqv4qdrgGdxKIWNJc3EuZmVuesv4ecq5gFwOLV8SpBGMu1J/6Sp3/wMec/LnXeofXWfoN5DNHEVLorZAjf/w19w26FzNoW1q4pOPxppXefczg7eTyZyt6nA7zwVbG+2sDqdYhezpV9IZSuzmeNs9lwDVkTXcWfv69Y0FDIn0NerBi7r6uT+aLjfsj9MJtikZR1L6hqxDBCCcSv9T7T/WXcne1msmIYIzkwkJ9udnGwfunlultHEbz0VXOh083o8xoPRCBFd4wq3l2nGwlM7rIrCJ3UNvBaPcVJHO5AJSwJompZrKKzJnnR/X6TwNdrHYuVqj5f6AUJN5bS12cxz1XX8tLuT1xNxftTdyU+6O3PvsuphBOMMk2j7KSb/PbeT2TLIlPBxIsGh/sKQxSe1DXg3sqCLPxssWpy3P+zrdl8VR/ozbV2XdnfyXHUdTek00ez9J6xHKPjsTn+uXe/OSJgPEgl+5fGycIjXbaK4zO0peL9dnRfyHE+2MFvY2WzJBZNKvfXXGQzMNhhZlk5xi7eS3S0WwrpOUNfwaxpt6TSzjEY2lVatUflrKMg1ecHpHc1m9rPY2NNqpbbPZ8PRdgcXZsOdQ0fshRBi+BSXC9Pmm5d7GEIIIYQQY278/dVQbDQqLjhHgmaTiC8dHXoiIYQQQgghhJiApu2yTbmHIIQQQgghhNjIGEwmdvv5OTzxnZ+N+bKaiVGPmSYKT74/gjpSaDxLG5vhwIeZ1+htY5mNnb2p4itCvEYHGrCEMJ8RZItcLGls2DGwNW50dD6gq2jQrBIT9j7NZ58R7DfdEkI4MBJHY8vsuCOkC+bpxcg2eNiBCpRs2GxTHDyPSpz+rSjHUT/g2L2Y+Dlz0AETKho6m9hqgNIHzW4Lh3Ihs/0tVlan03yeSnJxXqvOPyqq2NNq7ffYU+3OXNAsP7JjVRQWmsx8kEzQpKULAi/1qoEmLV0wnzXpFLMHaBCqMRjYx2ItaEbTYZh9dZNXrcHAUXYHRw0j1LKD2YJXUenSNdrSGpjg9URvU99co5EPE/GCd8hTVTW59qzxaobRyD2+Km4MBfhTKFgQ5fx0kKBQj7S+YdoVy6E5neZPocy+7HCrbcg2s74hM4BX4jEOs9nHZHzj0Yux3nMZNjMN3GiWHz5alm0IfClv/7T/CNu5fhfozoXMenySSnK4v40qVaU9G37rnMAtcxMp1Nme9/k0FjHL3SwWlkVSvJKIcaDNhgOowcDsMVjWxujFWLQgZHal28O37U6Mg2yDPcH46eMwVC2EmLgsO2yPYpT9ihBCCCEmv43rK4rEuGLZZB72PXcr9zBEifiWf8WULeeVexhCCCGEEEIIUVJTdlqIvWp8fhOvEEIIIYQQYnLb8pTDcNZVj+kyUujcz7pcyEwhcwB5X6qoxcz/aOdjgnxOmNfoxJZ3eHkZER5kLY1YuDTvNOp/0ozGhgl53Mta1pIJ1dj7HPo+jxn9pt+FCo6kjguYwTHU8yNm8gQt/I1V3MUaQtk4Tv74LSicQiO7U4klbxmrifULmc3DwVHUsdkAbWY9jKiYsvNSUfjog2/QNl8w/Cc+DIuTCX6dPSH7tx4vf/dV8XRVDVv1CVnoA7xWL2fDFduazAUtIRZF4aHK6oLwmU9VOd/h4nxn/+c9c4iTu+/wVXG/r4odzWa2NZm5taISdQIFF8pNBbr0zHZYbchsU9eFegOV04wGbggFADjQYmVV/ZRxHzLrYVAULnJ5eKayhka1dxtsTqcHeVTGZ6nJ219zRV5Q9Pghwohv54UOAVzZ99aNoQDaJA7j9fVINjQLcLB14IBdfstYTzhzV7Mlt787sL2VaU1r+HFXx5DL/Fc0zJ/CmfeiR1E4xGoj/53XnhcuG6hZVJRWIG+dR8Zg+5+bDVW/HI8NMaUYqRdiUb7d2dsG+05NPWc6XIOGzFrT6dxvOAsGCZgKIcRI2Q48oNxDEEIIIYTYICRoJspKcQz9LWxiYjBGwuzS/hUL9pBv+hdCCCGEEEJMHgtOPLjcQxBCCCGEEEJspAwmE0abZegJR7MMoILek291QAOep50bWM47dBVMH+0TrAqQ5n6aCJHmIGpyt6+isMFlrHxDb3ggkjc2BWilf+uRFQNb4aYSMwtw4cVU8JzM2cPnToycw3T2o4rzmEkVmdchSpoAmQCLif4nNzdgybWijUQ0HOMfL66ga5udoUQhqxuCgdzlF2KZk95VReGxyhrerqljfvZb+B/KC2D0eCYa5bpsOKnOUNgvpuk6l3V3FsTTOjSNB6Nh7omEC6a9x1c1rNDYLhYrD1XW8FhVTUHQQwxNBxzZddyWzmzLwWzwrFJRuScc4eV4HCPwM7e3PIMcpWM72libbSJSgL9XVA75mKsDva03Uw2TpyNP13X+kw2xfMtiZVdL/zbCfGd19AYzVtVP4SZv5suUlqRSrB1GYG8yeDcR59/ZVrGfuTwFwdlits8LYkY0jekmE33jsg9FI3yrrXnAeXyYiPPDrkwg0KsovF1Tz18qKllaP4UHfVWYKTxZy1Pk82Q8297cu47aJ9B21JEXNHsgEirpvFO6ngs0TpP2rJJbk7edXepy9/vdpJhFrU25yz9xecZkXEKIjY9itWI/RI4bCiGEEGLjIEEzUVbVv7gcQ3VVuYchSsSQiLPlZ2+w/T7blnsoQgghhBBCCDFqiqqy+XEHlnsYQogJSFHkZ7Q/QgghhMg46p7fYbQNHiQYDQWFnakoel8Mjb6nj9dm+1j6nt57Eyt4mtbcdXUDnTQ/g+LNNDoQ6Tf64n7ETA6lhnOZnguaAdRiYWd8uLMRAx2d6/iGG1jOG3TQQrzfvF6ig2SfMN5waWmNR5/6iM9nleZLHa/MCxX9Nx5jWtMaPkkmMCoK9QYjZzky7WMfJvoH8n4T7ALABFzt6Z2Ppusc3N7KP4uE09o0jS/yWqQOsFjZfYgQjBiYrut8p6OdXVqbuG+QQIRRUTjclnkf/KCrg1M72liayvQj+XUtFxg8ze5kunFihh+685qHdBiyke2rZJI38pq8fu+dPE31L+Y1JR1qG7iZC+CteJzObOjwdLsTKGzsGotGp/HojI52AOYYjHzH4Rxy+r/5ereXB7Ph2SW1DezeJwT7Vap4D1lTKsVx/jY0wAw8U1WLXe39bNnJYmVp/RRW1E/h2apMQNusTqz/BP/e07uOtmltYnGy/+fIeHR43nvmulCQtenSdcndFAryYTKBS1H4naf471Vi/Z1qd7Bddt//x2CQ9BD7r2lNa3KXdzCbmTpBP/+EEOOP7cADUF2Dt1cLITasch/Lmgw/QggxEAmaibIyTZ9Gwz23oYzhATKx4U1b/hmq/KFGCCGEEEIIMcHN3HtHnLXy5ShCCCGEEEKI8pm68zYc98gfUcawkWchHswjCIadQgOXM4efMYdq+gc+LKhMYcMc+zuFBjz9umZgLg5mYhvWPJwY2RYvNQzepKUB6WyP139p5zn8/aYxAoZRhuzeeu1zlKlTRzUPgBlGI2/X1BXcdkh7Kw9ngxPvZgNm67TCQN7vgwFWZZtD/lJRSYWa2fbeT8TYva2Zz7JhsqvcHh6vrOYCZ/ETLUt3+v7GRdd1bgoFmN68lufjMVan0/yku4vNmteSGuDE+vMcLqYbDHTpGi/HewNWNkVhvtHIr91ernBP3DaXO/o0mG3Sso6INnCg81vtLbnLD/mq2X4SteSd3tm73znIWnwfp+s6vwl0cVxHGwDzjUauzL7+XyZ7w6DvJfuHZSeblK4TyL5v9rFaMQ/jLEpv3mlUz2aDfaqqck9lNavqp+AcZB4xTePA9kwMWQHu91XTOAnPm+gb2jm4vXWAKceX6zwVnGl35K5/v9PPA+EQT0XCLE4m0NczfPlBIs6N2VDvr9xeCTWNAUVR2NmS2ZfH0JnfvJb4AK/XO4nCfdu9vuoxH58QYuNhP/bocg9BCCGEEGKDkaCZKDvrNltT+8fryz0MUULmQBczF21a7mEIIYQQQgghxKhsfsJB5R6CEEIIIYQQQjD3oD047NZfj+kyGocIWfVoIcEsHKiomFE5jxmczTRc2bDX5ji5hNkbrNFMRc2Fv/IdRi1KicfQSXLIaSyoJXjuCs1Vow+aAdQbjHxT18gReYGUi7s7ObK9lQei4dxtWvZk7dfjMX6fPVkeYA+LlVtDAeY3r+VIf3sugLavxcoZdifbmC1c4vKwsq6x37J/NoGDTeW0Jp3m2mCg3+0hXWdW81qa0/2b+qYajbxYXcc9viqu8Xi5z1fF4pp6vqpr5LnqOk5zOFEn8NeU72O18XltQ8Ftx2ZDVH219Vk/O1omT8gsX4NqKBqa0nWd0zrbuSWcacGrUlVurqjM9Sw+H4/mpj1qiEa0ycCYt46S65EhKhburMsGv/tuWZqmcbC/lY7sY67zVLDdJN3+AFbVTym4fnd44ObF8UJRFC52ebBlt4uPk0kuDXRxTncnB7e3sldbCxFNoymVYrPmtRzvb6N7kFArQEjT+EFXB2ngCKuNo/KCbKK0djH3folBApjbvJY9W5u5JVTYcHaMv/fz4cvahmEFTIUQYjjU2hqsu+1W7mEIIYQQQmwwEjQT44LriEPwnn1muYchSmimpf9BDiGEEEIIIYSYKFSTiU2P2q/cwxBCCCGEEEIIALY+/Sh2vOiMMZt/E4lhTadCLki1igi/4GtuYRVBUhhQ2I1KjEWCVu0kaKb07Tkf0EWIwmNSP2AGDkrfAPcaHUNOYynR4fc33l0OZlNJ5mVUFP5YUcnbNXXskm12ej/Z+3rvbbHmQkhPxnpDKFWqyrzmtfwyGCDaJ2zxE5cHJe/EbUVReKqqJnf9SKudOcbSjH9jY81br1YUfuP2Ftx/VaCr6OOMisLuFisn253sarHiGcMWxHJwqiqb521Ti5P9g5+PRMIFzUrXeio2yNhKbTh5qENsA7SZAR8ket/fXZrGEe2tzG5ey3H+1oL77gyHi8xh8vEqmf3yJ8nhfc79PO89NqtIM1XPOzQO/L/uTl7O7jfP6upgSSrT5Xiuw8WxG0Hg6J2a+tzlywfYN403TlXl2coaFppM/T6xv0mn2KRlHTu0NRPSdd5MxNmiZR3Tmtbkfj5LJNDywmdXBLpYlU4zxWDg1xN0nzNR7GixMNtQ+J78Jp3iN8FuftiV+R3t67zPhipVxa7KaZFCiNJxHHXUmDaNCyGEEEKMN9LXLcYN17FH0nXLbeUehiiR6k8/YKs9d+bjlz4o91CEEEIIIYQQYsQ2OWIfbBXy7etCCCGEEEKI8WPhGUfx1g13jMm896aKp2kdcjoNeIl2viBES59wWhqdm1nJVczL3aaj8zStvEs3CvA9ptGAlVJ5m65+t/2RFQB4MHIuMwrCX6uJsoIo07ExjeJBjWKSaHxE/5apvuZSmmBBZ1s3n+2yJZuv+QQSQzepDUe9wcj9ldU0p9M8F4sS0nWcisIBeW1nrryQU/sgLS4Ht7ewpE+bzRYmM+/W1JNGp8EgpyEMZWUqxUPRMPtZbGxuMuWal1yqil1RiOg6s4xGDrXZOc7u4IruLu6Phnk6FuU/sWjB67Yx+Fc0wmep3vfCFXmNeTFd58ZggD+HgwA4FYVznS6On4SNXZWqil/T2MJkLnq/qij8s7KGf8ci/DMSYZ2WpjsbFH0rUbjPNm0EJT+6ruNUFbrS0K1r6LpeEJIt5oV4JhRtBa7qE/QE2N9iY0kqs63dFQlzV6QwsLe3xcpPNpJGxzqDgZ3NFt5IlD5IPpZmmEz8q6qW9nSaZekUKU3nwu4OmodoLwM40J/5XcmmKGxpNPF2MoEK/MHrwy2hpjH3Yk0dAG/GYxzf0Z67/YlYlJuAh/PaWt/LC0IKIcSoKQqOE08o9yiEEEIIITYo+V+uGDeMjQ3lHoIoIUWBzRa/wc77bsO0bTYp93CEEEIIIYQQYkS2O/ekcg9BCCGEEEIIIQp4ZzSO2by3x8vPmcv+VLMDg58g/xId/UJm+bRsH08KnXtZy7t0A5mmnWdpK9mYX6R90HF0k+KzvHBYCp3bWM3/aOd2VtPN8ANcD7JuWNPtQuWw5zmUt1//gg9rNiO2cHsUr7dk860zGDjV4eQcp4tTHU6q876Vf5ts41nPSQRHDBBmigNr06l+t9caDBIyG8A/I2FO72hnfvNajve3cYy/lT+Fghzqb+VXge7cdFZF4bfZVpzPU0l2bW3ijnCIH7lcuWnO6vRzcyi4wZ9DOYX03gDIw5XVfNfRuz5uDQdzITO3ovBydR3nO91DBorGm7Z0pp3xm1T/9xZk2sn82SCMRxn4VJ9NTCYucXl4rrqWK90efuP28iOnq2CaY2x2TrE7SzTy8eu5eIw12fW6JJXiaH8bMX3gzriIprFOy0w/3Wgs2oZ0qdszYIjRoSjc7PWVYOQThze7jhwT7P0GUGUwsIPZwi5WK2c6Ct8j/+eu4OxB3iNRXc+FzM5zutg++/kpNoydLFZW1U/hj3nvt+bse10FalU119YqhBClYN1nb0xzZpd7GEIIIYQQG5QEzcT4McAfTMXEpSgw46M32HXVR+yz5+blHo4QQgghhBBCDIuroYbpu29X7mEIIYQQQgghRIF0cmyPpRlR2IkKDqSWM5gy9AMGECVzou/ztLGUCACNWFGAlURJMHRjyFA+I8jLdAw5XWNea1myz3KDDH99DhZoy/cWnbnnXwofvruE+57+lPtWqjB33tAPGKaUrvNiLMpLsRiPRyP8OxqhNZ1mf4uVuyoqOcfh4qXqWv5YUckJtv4tbXONRipVQ5E5i2LuCYe4sLuTF+IxorrOm4k4LXnNOXdEQgXTH2Gz83hlNQABXefqYDc7tDYXTPPfWHTsBz6OHGztDfY0pQvfYwflBSIDus4j0QjaIGGi8aoyG9hp0tJ09WlW0nSdLVt6A6+LzMUbzfK5VJUzHZlA6UUuDyvrGrnHV8X7NfXc4PVh3QhCGH23lfeSCVYOcl7KY9FI7vLCAVrjAH7n9bGqfgorahs40mbjGJudi5wuXq2uxbqRtVptajQBENZ1vkqWpoGzHL7tcOLLC3BuZzZzucfLqvopuZ+Xq2s5yWZnVl6gWgN+5HSXYcQCCvf/27c2cUs4hAa0aNqgoVIhhBgpx7HHlHsIQgghhBAbnHydmBg3DLU1GKqrSbeV7psMxfhRs/h9KmfPxb9sdbmHIoQQQgghhBCD2vSY/VE2spNChBClpagKijr5T9obK7LuhBBCiOJsFR4qZk+jc9mqMV/WaE7NtZMJIH1Kb+NSI1bWEgPgGyJswuiadN6ma1jTVdMbFLBh4GBqeIpWZmOnHuuwl7cIDy/iH3K6N+gkQIpjqB/2vIcjGonxWdpFqb7W8YpAF/dEwswxGFma10x2rsPFT9we9so7cfuXHi8zjUa2MZvZwmhicSrJIpMZw0YQUimF/8Wi/CzQlbt+nsNFk5ZG12Gm0cgNoUzr3g3Bbi7Ma+Haxmzh67pGbgh282AkQqdeGDw63TH526jyefK2tx90dXCY1ZZrq5llNPFRbT1btzQBcE2wm30sVuaZTEXnldB12rQ0CV1nprH4NOVwlN3BZd2dxIGzOtuxKApnO1zsarGyOC/As5nRhHM9/m6lKAq7W4a/3+vrg0Sca4MBlqWSTDcaUQEVBQOgKmBAQYHM9ezy6Llc7EdRcpdXpFJsYzZzmcuDuYT7lk36vL4HWW3MMw58mtTXqd71/EA0Qgq4zu1FHWB9q6rKjd7SNVlORKc6HNwQCqCTaVt8uaZuwGnfT8T5QWcH33U4OaNPy165WRWF0x0Obsi2RTYa+4epZxpN/Nbr4+pAFzeHMwHhHzpdmOTzsGxMZJosA31CZR5FIa3rmW/HFkKIUVJcLmzf2rfcwxBCDECOx42OrDshxGAkaCbGDUVRsO22E6FHnyj3UMQYUBTYbEYlr0rQTAghhBBCCDHOzTt4z3IPQQghhBBCCCGKmr3fLrz317ENmn1BiAdZN/SERZzOlGzUIBMu+4owAO9kg2E2VGbktYytL30YUbjZ2FApPGFmO7xsh3fEy1uSfR7DsZriTVNhUnxFmEpMeDHhYWQBl3ff+ooF289AX7FiRI/r645wiHsimeeTHzID+Es4yI9c7oKmI6uicE5eIGAHs2VUy9+YJHWdC7s6gUxb1Zs19f1apLo0jdsjIf4QCrKlycy+eSE/q6LwM7eXn7o8rEmnadLSLE+l2NdipdKwcTXKKX3WWwKIaRqvxWO0aGnm9gkUzR4kTPR6PMaydIo61TCugmYAZzld/CkU5K1EpkXx5XicxyqreSiSadryKAqPVVWXZWxPx6K8kYgD0JIYXsvjSLyfTHCA1cZ2JdrH6LrORd29zZcXO9380DV489QFThcPRCNEs6GVR6IRHolG2NVs4daKSuzyxVT9+FQD13i8/KS7i+XpFI9FIxxps9OSSnF5oIuX4jEUMs1fPTG+K4PdHG634VPH1ylr90d6G+3mN6/j7opK9rD2/53Fkrc/moitWR8k4rwRj6MAx9rs1AyyvxzvFEXhbl8VP+vuQlXAjMJ8k4kfOF045P0qhCgR6557oFjXP6wvhBBCCDFRTdz/LYpJqeKs7xB67N8wAf8YI4Y25aO3qF+wgKZPl5Z7KEIIIYQQQghRlMFiZtpui8o9DCGEEEIIIYQoaocfnsaHt/+TdLz0J/n3GCy+Uo1KG9qA9zfmtYTNxpELmvU4jxlYB13CwDR0HmQdbSToIDnk9MfTWHA9jkYnCayopMg0nDmGOZaDqOZvDO/LFLfCjYbOq3QwHRszsANwA8tJZwNyRuCnzMXA8L85WktrvBa0s4vBAOn0sB/X15d5zUibGE20pNO5tiwLkFqPBpCQpvFoNMJOZgtzB2iR2th8nEhwqL8VyLzer1fX9QuZQaYJqkf9AOExRVGYajQyFSPbb6RBvyeivQGQU+0OPk0mOMHfRrE94Qk2x6CNeztZrCyPhNi/SICk3C50uqlTDfg1jceiEZanUxzpb8vdv8hswaaUJzxxnM3B37ItThc4Xcw3mtAATddJk2nCTJPZV2vZ0z207O2ZHz3z6aHn3wa/CXYDMM1gYKHJzGhFdY1fBLq5L9L7+XOj18eRNvuQj60yGHmnpp5fBrp4OG+bey0RZ9OWdSyvbRiw3WxjdpLdyZXdXcSBH3Z18ItAFx3awL8rAHRqOr5xtipPdTi4NhjIXT+908//uSs40m4vaC270Onm4UiEdVqaW8IhrIrCxS5POYY8YtcHu7kx1Ns4+3+hAKvqp5RxRKO30Gzhmeracg9DCDGJWffas9xDEEIIIYQoCwmaiXHFuu1C3KedROCue8s9FDEGFAW2M4d5zuch2tFd7uEIIYQQQgghRD9zD9oDk02+mVAIIYQQQggxPlXNn8Wev7iA//3k+jFbxrRBGscGC5lVYsJE71nj2+LhM4KszDZ8nUADzlEcnl5MsF9wbTBtJHLBt2+I8A/WFNxvQeUsplHJ0MGGBmxcxTwAwqT5PctIDTBthDTv0sWL+AHYGS+VmHMhM4AU8CuW5OY5XF99uoK5B+1AzcdvwRAn8Q/kQpebR6JhksCXqcLA3h2+KpwjCFGkdZ0rAl3cnRfoeMhXzY6WjTMM1eOWUDAXngH4qcuDXVXRdZ0OTePOSAgjCmFd49ZscAdg8xKEbCar52O9TYHnOl0c1t6aC5kpkHt3eRWV4+yDB4qsisJ3HK5BpykXo6JwqsMJwC4WC8f6e/e6W2Zbesrl1UQsd/lMhxOfOvpWvZiu594rp9mdGEcYci3m+VisIGQ2x2jk8BGECj2qyvVeH2fanRyQDYtCZhtr0TTqJWhW1COVNblwbbGQmUtRCOZ94fTMEmw/pXaew8Usg5H7I2FeTsRJAz8OdHJrJMizVbW5ZkVVUXizpo7pzWsBuDEUnDBBs69Thb+9nDaMAKYQQmzMFKsF2/77lXsYQgghhBBlIUEzMe54z/y2BM0mMeeq5RzqdPJa41zWLV5S7uEIIYQQQgghRIEtTj603EMQQgghhBBCiEHtdNEZYxo0G0nLVr6zmN5vPqczheVEcWKghtGFj+pG+Hg7BjR0XsLPq3T0uz+Ohp9Ev6CZhs4vyRzD2ho3W+BiNg4AoqR5iXaqsNBMvN88d6aCRXj4Kytzt31BmE66+k07kqjCciLcx1r2oBLt6Q+ZM38Oe9HMYn87N4eCLDCZOcvhRB1GSKPOYODVmjpWplIsSaX4TbCbqK5zgs3OrpaRffHKbeFQQcgM4IlYZKMPmt0d6Q2P/cjp4gyHk04tzZHtbXyTLh5R3GUjbSobrs1NZh7Phs32am0hhs5Mg5G/VviYbzSxMp1ihsE4rPfARLGd2cIHtfWsS6dxKiozjOU9vcec99mwOpXGZx5dUOjLZJL92lty1w+1laZhzt0nCLY0lWJG81p+7HTzA5d7WPMIaBoH54XMALYzmakv82swnm1lNvNDh4sbw5m2rB1MZu72VWHNvh4pTWNWyzogsy7HYzOcoigcZLNzkM3Of6NRvt/lJwV8mUrxcSLB1nmfbS15YboTJlBY6wdOF9+kkuxitlCrKJzkHN57QgghNlbW/fbDUFFR7mEIIYQQQpSF/BVEjDvRN98u9xDEGDNGQuzgaudfRiNaaqDvexRCCCGEEEKIDaty/kzmH7Z3uYchhBBCCCGEEINa8eLYHkszjSgClVGLGUuRxykozKI0J2DXYmEnKnibTjTAiYGtcBMghQ44UDGjYsPIbOxUYGIJYV4pEjLrUSz8lh9K+4gAHxHgh8ykAhPP08779DZVOVA5gQZqsWLOPv+HWUcyr72Mgsu95uEc1vOOkOaubBvb87SznAg7fxVhyWYN/Kr9cwCeiEV5NR7j3srqYc2zwWCkwWBkJwucYnesVzgnruv8Oq+1q8emRtOw56HrOiFdxzUOAwejsafFyj+yAbw/hIL8IRQsuN8EJIHjbXamZ4MrJ9kdw55/VNf4QWcHz8ZjHGK1cYjVxgFW26QKWfV1rN3O1cFudCCGzlSDgQcqq6g3ZNbfrBFsdxOJTzWUpDmsFPbIC6Ie6m/lk9oGvOv53n0iGuH8rt59rUdRqCvR89zDYmWWwdgv1HldKMB1oQAvVtcye4jtJaxppPOu722xcqevqiTj+28syifJBHtbrLl10LaeDZXjzfkudy5odqXHmwuZATwb723EO80x/P1duexns/GQoZqj/G0AXB0M8JCl9zN2bd72dYXbu6GHt942N5l5rrqu3MMQQoiJwWjEfcH55R6FEEIIIUTZSNBMjDu2nXYo9xDEBmBraaJy5jzalqwq91CEEEIIIYQQApPDzvGP/RmDaXKemCSEEEIIIYSYPBoWLcDicRHvDg498Xo6ijqeoJnhfl1gCwkAVhHla0JshYfqPk1hpbA/1exFJQAmFJQh2tdC2WfgxUhXn2djRcVT5HD5Jjh5EX/BbXeymu4iayOMxm2s4Txm5J7vKjKtS9vg4QO66cw+zoEhN40bI/tRGAr7nCAOjEynsNXH1ifAt4wIy4jA52sLbn810b9hbTjWN5z0h2Agd/k3bi+XB7oA2H6YzVxdmsaZHe28m8xsO3WqgWera6gYQdgkqeu0amn+E4uyNp3muViUBSYz13oqWJZKcVckxDkOF/M28P/1L3d7+DyZ5L3sc8t3vsPFpW7PqOZ/byScC208GYvyZLbpazuTmTSQRietw6epZO4xz1XVMn8C/83Dpxp4wFfFNcFuzIrCdR5fLmQmNoxpRiNzjEaWZr9I9slohFMcwwvMAqR0nasCXfw3FqNZ641xbW8280hlTUnH+nRVDY9GI/hUlceikYKQ075tLSyvnzLo41fnhYi8ilKykNkz0Shnd/mxAH8Mjd1neLn8OdT7uVCbty+PaBrnZUN1CrCHpTTtdWNtkdnCFkYTi1NJPkjGSes6huxn5hPRaG46+yQO+QohxMbMd921mDffrNzDEEIIIYQoG/nLmxh3LJvOx/v9M+m6+bZyD0WMMVeFm7ZyD0IIIYQQQgghgEXfP4HqTWeXexhCCCGEEEIIMSSbz8v+N/yEf591BXo6PfQD1sOWuKnBzGM0kUSnYxiRsxQ6/6IZP0leo5PdqGAuTqZlg1Mx0iTQcY/yELV5BI1r3WSCNn1DZpBpSOsbVGshzgu0F5nP4M//K0JU4yNGmmC2B2cqVr4iRDh7PUyaS5ha9PEfE+AxmgG4kJl46A0EKShsg5uPCZIeoB2tx39iUQ6wjv0J/B1amj9nW2u2MplYkBdgmmUc3uv7UCScC5kBNGtptm9p4p9VNWxpGjykGNY0rgl251rD8q1MR3kqG7xSgH9GI3xUW79BW6FsisqjVTUc2t7Cx8nMNlihqDxVVcOUYa6fwextsfJL+rfJvVsk2Nbjsu5OHq8qbZhnQ9vJYuWJvFYtseFd46ng2GzD0x9CARaZLWwyRIBR03Wei8c4v9NPfhx2d7OFK91e5o5BANKuqrkQ3EE2O18lk3yrvQWANHB6Rzu/91bkgq26rvNOIsHz8Sh1BgNbGM1YgDjQpetMa1pDnWqg2qCyg9lS0GCl6Zn9crHQ7qvxGDeFgnyVStKR11qWvx7sisJfvL5SPv2yiOparr1xZ7OFakPvPnfzlnX0PPvfuSvWuwmvHH7q8nBSZzsJMq9nvcGY25Z6TOY2SSGE2FiZFy3Cfuwx5R6GEEIIIURZSdBMjEvVv7oC87y5tF78U9AHP2AiJiZdh4C//wEQIYQQQgghhNjQDGYTO110ermHIYSYTBRQJs55U+OPnKMlhBBCDGnhd46hevO5PHD4uYRb+gejSqEOKycxhRfxEyJACtAGmf4h1uGnt0HpVTp5lU6mYGUfKnmYZiKkmYqV42jANYaHqrtJ8gQtmeavAdSRad56k06epY19qeL5IiEzLwZm4uAzgiQGCHpNw4qGXhBo+xct/aZbQYQZ2HPXI6RpI54LmQE8QysHUIM3GzbrIMEHBPrNq5inopENEjT7S14Tz92+am7JXvcoCqZBTrh/JhrlzUSMg6129rZYuC6oEMtbp3HgkPZWHq+sZps+zWht6TT3RsLcEBreugByc749HOLHrtG1iK2Pu33VtKTTzDMaUUoYRJhlNPG3ikrO6vQPPXHWo5XVQ09URFM6xdOxKD7VwBFWW0mfh5h4tjeZOcvh5G/hEK2axhH+Vp6sqmGOceCw2IPRCJd1d+auNxoM/NLtZV+LdYNtT/NNJr6ua+SgthaWplO8EI+xVUvTiObRrKVp1tIsTia5JxxmgcmEBnyQDXje46tid4sVXddRFIW2dJqTO4p/Pt/nq0IBNjeZJ1ToajCvxnvjc1f0aW3Mj8QfYpsYbWY9/h7u/bw7rcg+9+q80KEQQojJw3PJxfJ7rxAThRyPGx3Z1QkhBiFBMzFueU49ET0ao+3yq8o9FDEG2hZsQ/vLn5d7GEIIIYQQQgjBwjOPwdVQW+5hCCGEEEIIIcSITNlhK057/g7u2O1kYl3DD9+MhAcTnxNk4J6kXksJo9I/jLaWGHexNnd9NTH+ziq+z3TslLZlai1R7mA1ZgxEGLjtzYuRnagA4Fky7TzFQmYAU7BxOHV8OEjY63bWYELhOBqYiwM/CTryQnc98oNoKXRuYkW/cX5JmK9ZzkXMwomRp2nN3efDVHS+PX7ocg9431B0XefLVJIK1UAanUbDwKcS3J1tEjvZ7sCrqryWiAHQXeQLRHVd59VEnFPyAhd3Zh9/pNXGY9n2sXyfJ5O5oNnqVIpd2pr7TZPvdLuTfa1WqlWVXwS6eSMRL7g/oJXni029qjpmIZIDrDYuc7l5OR7jWxYb9QYDKpkGPEUBlcyPAdjdYh1x446u6/wxFOSmUCDXvmTw+jjMZh/0ceNBWteJ522LPU+9p8HQAIMGIsXAFEXh524v33E4Od7fxsp0mh90dnBfZfWA2/qadO9+79HKahb1CZGWQkjTOLPTj4bOX7yVBW1aPayKwtPVtVwd6ObOSKjofNyKgktVWZtOY6A3IDXLYGQTk4mns/urGDrv9WkQPKWjnblGI0tSKawUhmhNQBLYxWzhPKeLXSdhM98d4cw6PdpmZ7M+rZR7mC28nN0vb9KyjmkGA7d4K9ncPHh75XiwRhv4d4m/VVRukHC3EEKIDcuy805Ydt2l3MMQQgghhCg7CZqJcc190rESNJuEEl4fb3y6rtzDEEIIIYQQQgjMLgd7XHl+uYchhBBCCCGEEOulZsE8pu6yDUueemlM5r+cyIAtXn1pgBn6hdJ6Hu3GyBSsfJ7tR/uEADtmw16jpaHzAd08mQ1lpQYJmQFsiTvXGDYUI5nwRLEQXb4kOg+zju3wcjKNBEjyIE2EsuEyDybm4chNn0AbMAynAUFSODGyNK+VLZgXVAM4yGLl6Xgsd32wVqGh/CLQxe3ZABjAY5XVbGI04egTHmlOp4lmQzyn2jPP5+NkJvzmyQvvJHSd4/1tvJ8cOKb4TqL/fUbguOx8w5rGQe39m+EAZhiMPFpZTVWfQMkDldW8EIvSoWncGwnzfjLBnZEQV7o9GCZJuOjDRJwbQgHCmo5RgdcTcSyKwjyjkbiuc0SRoMdQdF3n61SKoK7xh2CAdVqapanC7W1pauCQ43gR0DT2a2th3SDhEIC/eH0cMgFCc+NVg8HIrRVVHOdv49NUkmP9rdzrq6amz/sxpGm8GMvso/a2WMckZAZwfSjAm9kg01/DQa4YoGXKqij80uPlp243NwQD3BLuDZxd76ng2Oy+J6hpdGkaJkUhrutMMRgwKArPx6LcEAzwaSrJQpOZ6QYDj+eFZZdk3zP5IbNGg4E3a+pL/ZTHndez63+3Iq/x3ZXV7N7axIp05n25Kp3mUH8rH9U24B7njW7H2OxcEywMmp/tcHK5NJkJIcTkZDDg/eUvpM1MCCGEEAIJmolxTnU6MVRXk25rK/dQRImk7E5eM9UR8X9T7qEIIYQQQgghBPtd/xOctVXlHoYQQgghhBBCrLeqTWaNWdCsFgtTsLCG3oYoH0a2w8Nz+PsFrwZrPguQ4nN6T+qvpjRNJuuIcSerhxWI82CkmxSVecuuxUzLICM3orCK6KAhsx4JdF6nExsGdsXH95g24LQ2VLbExQoiBAYInIX7BMuSec9xO5OZm31VHN7eyoeDhLmG4514vCBkBnCkP3N8dqHJzB+9PqYbM6cWdGu9a8KiKKzNCyN16zoHtrVwo9fH3ZFQ0ZDZdiYz72Zvd6sqZzldXBnoAmBHs5n7fdUYFIW0rnOov7WgJe1Gr48aVWVHs6VoaKwrGw7ZO9swszadzo3h61SSTUcYvhqvftbdxWdFQl/PZP+9ORzikcpqth9BqOfKAVqeTrY7+DiR4NNUkj+Fglzk8qzvsDeIpankkCEzgBtDAQmajdJ8k4mHKqs5qaONr1IpjvW3cV9lFY0GI7qu80g0wnXBAE3Z12OWcexOT/oi2ft+uDUc4iKnG+cgASabonK52ztgWMilqriKPH5fq419+zRY3ajr/CUc5PNkkjcTcdo1je1MZna1WJllNLLdBGjtGq2uvM+FmQO8zk9X1fLLQBePRiMkgBSwoGUdj1VWs+0YBRBL4Rynm5tDITp1Dbui8Fltw6QJLZfL0lSSf4RDHGyzs8M4fu2FEBsnz48vwrzZpuUehhBCCCHEuCBBMzHu2ffeg+CDj5R7GKIEUjY7r7pn0Pzp0nIPRQghhBBCCCHY6rQj2Oa7x5Z7GEIIIYQQQggxKvMO2ZM3r799TOZtx8B3md7v9ttYOazgVTEWVGZjZwalCXk8QtOwW9e6s8Gtqryg2dlM4zFaWEwQhd4GNgVQUdiJCmKkC+4byvO0syu+QadRUDiKTMvNv2nhYzKNKTYMVGOmGgtv0Vn0sX/1VHBwtnnnEKstFzRL6/qIT4CP6TqXB4ovB+DDZIJbw0F+5cm0z92VDSO5FYVq1cCvsiGxHp+lkuzb3oJPKR7yeDcvfKYCe1ms3KwaMCrwO48vN/7n4rGCRq0nq2rYcpCgWGs6zaLWJgCOsNr4vdfHG9mGnR3NZjYZRdvbeBLQtIKQ2fWeCtq0NKvSae7LCwu+EIsNO2im63q/kNlCk5lLXG52tVi5PxLmsu5OGvq0VY1HPe/RqQYDz1XV9rt9h9YmArrOV33a2sT6mW8y8c/KGk7qaGN5OsX+bS3sYrGyLp3KNR1WqSon2x183+EakzFoup57r/d4JxHPBU7HmqIonOd0b5BljVfPZVvdKhSVhQPsd5yqyrVeH5e7vWzf2pRrxjzS38bXtQ1Yx2mz2apUCpui0KmDpkMSGP97wvHth10dLE4muTP7mbW3xcrtFZWofX5/aU6n+TqVZFezpd99QggxFmyHHoLrBxeUexhCCCGEEOPG+PyfuhB5PKediOreuP8wNxnEKyp52TmdJgmZCSGEEEIIIcaBKTtuzcE3/wJFDlILIYQQQgghJrhpu27LjL122GDLayLKauJDTziAOBomFPL/N6aj00SMNuJow45zwTdE6KB/s9NgTCgFbWo6CosJZi/njwlOooEoaf7O6hGMauRtbYdSy8+Zy8+Zy8XM4jSmYEThXbr6Tfs9uzMXMgM4xt4b2PtghM1mIU1jn7bmIUM384xGftLdydWBrlyY6QavD7eq8klek1B+vKBDz0QRB1sTaWCG0chbNXW8Vl2Xa02DTFAoX1If/BXoCZkBPB6LMrN5LW8m4lhR+J3HN2n+/2/v8zwu7u7kzUSctenC1/AMh3NY89N1nYu6e4OGFzndLKtr5F9VNexqsQK9r+sUw8T5HmMFsKtq7seR/Tk++96Z/B1TG84Mo5FHKquZZTAS0HWeiUVzIbNdzBZera7jYpcHxxgEiVanUsxoXtvv9h91dbJKwoQbzFPZoNlpDscQU4JHVfm4pr7gtptCwTEZ12jFdJ0TOtpYp6VxKwr3VVZhnSSfJeXSkk6zOFn4e9sL8VhuG9B1nXcTcc7t9LN9axOndLRzfzRcbFZCCFFS5u23w/eHGybN/xmEEEIIIUpBgmZi3LNtv4iG+8bmWxjFhqHr8LJeScsXy8s9FCGEEEIIIYSgYtZUTnjir5hs1nIPRQghhBBCCCFGTTUaOfW5O5i226INsrxHaR71PD4myEfZBq8kGjeziluyP3exhhDDCwgEhjldviQ66bzYmIGBTyYMkaaFkYW3AOZhR0MnhUYSjdR69r91F3l+D0TDzGhaw/SmNcxpWsMurb2vx9H+NqY1reGK7k7CWu8yk7rOfZEQT0YjucDWPyNhNmtZx+p0GoA/en1FTx7Ywmji8kA390XC3BwOoQHVqsp+VhuXdHXwRV671j2+qn6PTwDeAU7Y7AkVKoqSO6lzWTLBX0NBZvdpILstHCKgFV+PD0SKn4RuUxSu91YUBNgmOqOicKXbU3Dby/E4L8d7w5+/91RQO8z2sX9EwvwzGgHgIKuNH7ncmPq8Xj3byLQJ1GimkQk09Py0Zn+CWmaKk+zDC+KJ4WkwGHmmuobbKiq50u3hbIeTG70+/uGrGpOAWY+rg925y2c7nDxbVYMF6NI1dm1rZkHzWpanRhZGFiPX8767ORQkNkQoGMCqqvynsiZ3/d5xGCSK6zoXdPpZk07jUBSerKpl0TBbIsXALAP8PvBsPMpDkTAHt7dytL+NJ7PhRYAvkvIeFkKMLdNmm1J91x2otg3ThiqEEEIIMVFMnr+oiknNtsN22Hbekegbb5V7KGI97R1bTXqOA81mI2W2kDZZ0A0qmqKgoKADuqISsthZ2xllzeKlpBMT5A9GikLjFnMJdwboWj36g6tCCCGEEEKIsWOt8HDS03/DUe0r91CEEJOZomR+xPqRdSeEEEKMmGowsOdV5/OPfU4f82U1YqVthC1ixTxBC9vg4WGaaMk2pKXQWUmUe1nLWUzr03vW3+Y4eXw9lm3pE6n6HtN4ljY6SODByAzs2DCwKU40dD6mm1XEhj3/1+ni9T5tZJvj5GjquJXVzMHBDnhxDHK4XkfnVBq5m8K2nmDeSfwJIFHkpP47I2HuHCB8VczZDidzDYZcHG6OwcDSbLhocZGQxgFWKzFN48FsQAngBw4Xx3a0F51/l64z12ikWjXwRqI3ELVJnzDZke2tvJ9tZXsRjVer69itLXPs7clYlJCu8Q9fdcFjvkwmuTSvkeswq439rDYMwO4WK64xDLmUy5kOF9+xO1mTTvNGIs7HyQTN6TSdmsZfKyqpG0Eg7J95AY/feiqKTtOqZbaFzybQyf5r0mm2y2u562tj+B/HA5Ew7Vqa7cwW/Ok0O1usfJ5MsIXJPCbvC5ui8i3rhjtB+9lYNNekdardwc9cHhRF4dGqGr7b4adJSxPQdfZoa2Fns4V7fVUY5P+aY2Izo4kX4zHiwMpUivkm09CPMZvZ12Ll+XiMrgFCxOX0VDTCs/HM5/6RNjszJlFguZyWZH+nMALv19bzfCzGxd2dLE4m+XH2s9xCZp0/Eo2QAuYbh96ehBBifRmmT6P6vntQPZ6hJxZCjE9yPG50ZN0JIQYh/xMWE4Zp+lQJmk1QigLGWBRjLEqfY2r9VAEzgHSVhfDUGXS7fHQkob2li9Ylq9CzB7XGC9VoZO9d51O9+H2eccws93CEEEIIIYQQgzCYTZzw+J+pmj+r3EMRQgghhBBCiJLzzZm+QZazDV4+IliSed3OqoIA13RsrCRKE3HCpHFmD2dr6ARJ4cKImhcRMfa5nGLoJpUfM6tgHgAdJFhFJrAQIs1eVDEHR+7+Y6jnBpav35PMWkKYX7IUgHXEeYUOdqeCvagqGqhLoReEzCyobIWLCBqf5q3/nfDy5lAH4AahAJe7vVzV3TuPpXnH46wo7G210q1pvJ4NiX2QSHBRXrjrOJsdm1r4HCqyJyt16jr1qoG7fVXcGw4XBM2eiEUJdbSzv9VGezqdC5kBvBUM0mG2cldFJd/u9APwUjzO2Z1+bvb6eC0R58NEgutCgdxjvutwcoXbu97rYiJRFIWpRiPHG40cn7etjlQoL6gY1DS8fQJIXZqW2zo/TSUJatq4Du9tYjQxx2BkeTrTBtjz7PL3DHZFYTfL5G4mei4WLQhg9mUBdrZYUcjsA9SeHyWzN5plMPJjlxt1nJ50mNR1LujsAMAM/NztybUibmEy83x1LXdFQlwbzOwf3kjEOberg1sqKss15EnteLuDP4czn0vfam/hQV8VO5otuddkID1Bacc43M469Ez4bZ7RyK83ks+VDaE5+/tFCngoEuE7Dif3RMJ8mEzQaDBwqt3BiXYHXZrGA9EIBtigAVYhxMZFramh5oH7MNTUDD2xEEIIIcRGSIJmYsJQ7PZyD0FsQIZEHPeyr3ADU7O3JWb6+LxhPp+/8mE5h5ZjslvZa9vpVH36Pk1bbkfXi4vLPSQhhBBCCCHEIA6/4xqm775duYchhBBCCCGEEGPC7Nwwx9KmYMVI5iTh0erbErYyG/aC3hBZOwluYgWQCT1dyCwsGLKP751+N3y8iH/Q5W2BKxdey/dPmguu/4tmjqCOWdhRUHBj4iQaeJsulhHp9/jhSBQJwb1CJ6/QyU54mY+TGfS+hp19WuPiaLxDd7957EHlqIJmOrA2leJ/8cy69CoKN3h9VKsqNaqBeqORL5MJ9m9vzT3ms1SKz1KZLcAEGID/CwYK5tuZDRBUKCp3+6poMBh5Md6/Fe6FeIwXitwO8FYiwTlOFyvqGpnRnAndPROLMr15bdHpN5aQWSktMplZmn0td2lr5sXqWqpVA6vTKR6KRLgjEiqYvl1Lj+ugmVNVeaGmrtzDKLv/xKKD3h+Hou/HfLtaLOxssZZwVP09GY1wdbCbn7g8HGYb/mfYB8kEsew+9YXqOmxK4TbpUlXOd7o53uZg22yz3VcTqJFvopluMOBVVLqy4azjs+2Wl7rcnO90D/i4zmyTmW0cBs3+Ec60Pe5qto7bwOVEtL25N+T7m2A3nek0j1dWszSVYqbRiDG7rp+LZfZPaRhRS6cQQgyX4nZTfd89GKdvmC9rEUIIIYSYiCRoJiYM8/y55R6CKDNzVwdbd72JtusOfPnax2Udi83nYZ85HtxffEx4ynRee3tJWccjhBBCCCGEGNzeV1/EFicdWu5hCCGEEEIIIcSYsVZ4cDXUEFzXOvTEo5BCK0nIDDJNOsU6yA6hBms2TLYmL0wWQ+evrOQ8ZmBCJZn36Pw2sxNpoIskz9BWsKyjGF4AJUg61yb2I2bixcQ8nMzDyd2sZhmDhzhG6k26eJMudsXH3lSiolCNeViP/ahI+Gyk3k/G6c6e8F9tMLBvn/aQm0LBAbvi9rVYuD/aG7473e7gzkjmBH0FeLa6ljqDAU3TWJVtmZphMPBkVS1n+9t4PTVw+OPb9kxTl6oofFPXyKHtrXw2wPSHSePJernc7eXJWDTXbLZXW8uA055udzDDMP5OMfl+p5+nY1F+4fZyhsNZ7uGMC61abyvh69V1VKoqbyfiOFWVLk0joGloZPa/GpnWSB3QdLg80AVAWB+6IXI0zuho53/ZsNv5XR0jCpq9ln3cgVYb04wDb5PVeQGVb9Kl+uQSfSmKwid1DVwX7OavoWAuJn1tMMD2ZktBuChfz2vSkv382VBeisX4QyjAynSKTYwmLnd7WGDq/cxdkUqxIju2M2WfUlI+VWWB0cSn2c/yv0RC1BoMnOF0FUyX33Kn6bqE/YQQJaXYbFTfdQfmzTYt91CEEEIIIca18fdXQCEGYNtBvnVeZEwnwpdlXH7FjAb2cCWwf/M1AN2+WpKRgQ+6CCGEEEIIIcprpx9/h11/cla5hyGEEEIIIYQQY0pRFKbvsT2f3v/kmC7nFlblLjsxUImJlQzejDOQBbhYTLDf7VvS24DyFeGC+7pI8SjNHEc9Pky521+lI3d5PpkTw78kxPJsKOx0pqAw8hOVb2MlFzMnd/0kGvkVS0c8n3xGlIJgXI/X6KCbJIdTixGVq5hHGp036eR52ovO60MCRW8fib8Eg3RlQyWH5gW2NE3jyI52PkwmBnzsM/F4wfVfeip4OBohrOtsazJTZzDwUSLOKR3tBLLL2NFs4cZQYNCQ2a/cHux5zVlGReGZ6lpejEV5PBpFVeB0u5Pl6RS7mC0FgRIxfB5V5fO6Rv4bi3Jep5+eV9OnqjQaDLSnNX7scnOMzY4yDk/0T+k6T2fbu64MdPFtu0MCCcB0gxGyr+bj0QgXuNzsNYwwZms6nQuazR4kwDVSuq7zVSrF8lSKZekkr8XjvJEo3Hd8mkwUhH0G804is08qHl/qdXu49/NlK5NpkClFKfzY5eHHLg9/DAa4LpT5bHo8GhkwaDbLYGRx9nPgsq4OHIrKbKMRp6qwidGMWQETClFdY7rBiLkEbYrLU0lO6+z9PH09Eefw9laOtjly+72v8j6bnKrsT0rp1I72XMisx5XB7n5Bs13y2hQ/TCbYdoBtSAghRkqx2ai65y4sO2xf7qEIIYQQQox7EjQTE4Z50/lYd9iO2NvvlnsooswqvvwUZ10joebiB9TGjKKwcK9tmPflexiaev/w7emQkJkQQgghhBDj1fYXnMq3rr10XJ4MJYQQQgghhBCltsMPTuXTB56CMWqiaSeBn94ThEOkCZHGBAwcGRpYsZCZFRUzKkFSPE4zy4igAAdTgwY8TStfZANks7BTj4Umeo/b7EpF7vK3mUqcNGnAzsBBpAqMdA7Q0xaksGmlqwR9bil0qjDhL+hky1hMkAApTqABGwYMKOyKj13xAXAVXxdM38LAIbBazIPe3yOaHYVHUfiRy5O7vQutX8hsqNe6KZXKNSG9l0xwVHsrHyYT9PQr7W2x8lY8zoq8xqVi/l+gm287XP1u38tqKwjMbDXM5jcxuP2sNpbUT6Fb0zAAzhIEOjaEvj1I+7W38Hz18JoLJ7OfuDz8I9ss+LtQgBPsjiHDmJqu80K8NzT8ejzOLGNpwlmPRCNc3N056DSvxePDDpptZTLxZiLOk7Eoy9pbUAAVUFDo2XLT6HyU7N1b3eStXL/BixHLb8O7LO8zpceJ/jY+SyZyAWegoBlzIPf7qng9HqdFS+NTVA622dh6BAEkXdf5Xqc/d313s4WvUymatTQPR8P0/VTa2WzBo0yMfeFE8ekAwfVEdlvo2eO4FQW7ohDRdfwbuPFOCDF5KS4X1XffhWV7KTsQQgghhBgO+R+xmDAURaHm/36FYpFvqtnYqegYTRs4J6so7LvHpmz6yesY+ny7mqZKZnci8kypY9s9FuGbNbXcQxFCCCGEEGNk0TkncsCNl0vITAghhBBCCLHRmLLj1ux44eljNv8KTMzB3u/29QmZDSSGxs2s4K+szIXMvkUVi/CyLZkT1hXgxWzD19lMZ2G2Aa0BC3tRVTA/C4ZBQ2Zp9AFDZj3uZjWR7CnoxvVoRSumnSTb4cFS5JD9SqLcxmq6iqzZnfOCdO4hvle2b8jsEGqYQWGrUSXQmj2Ju7tPQPGK7u6C6+c4nCypbeARX+E67mEEalWVPc2W3Fp6Ly9k9lePj1fjsSFDZj3e63NMTow9j6qWPGSmzt+E5NY7o9bXl3S+0BtO6PF1avRB0MnAqapc6upthvxXbOgQzz5tLVyaFwb7cpDGwZH6a7h/qBjgnZp6GlQDKnB1sLvf6zmQy1weDrXaSAGLk0k+SSb5KJnkw2SC97M/+SGzF6trmV7ChjYxuLXpzPvwUKsNj6qi6TpPRCP8LRTkukA3ryfiBSGzYsyQ7SbtdWJHOzeFgzwcjXBLJMRh/jamNa1h/7YWvh6kebPHG4l4bh9xidPNPZXVvFVTx+89FRxstbGtycymRhMVisqpdgd/q6iUhsQSu6RI8BBgTvNa5jSvZXr2Z0bzWrbNBk9b0sP7nUEIIQajVnipeeh+CZkJIYQQQoyA/CVFTCiWzTel+uqraL34p+UeiiijlN1B16rmDbrMXffempqP3yx6nyZ/lJ5wXA01bJOIoL7+DlvWVPGazUoqGhv6gUIIIYQQYsLY8pTDOOimKyRkJoQQQgghhNjo7Pvbi2n+8HNWvPh2yedtQOEUpgD9m7VKqTkvIGVCYRYOALpJsisVvEYnq4kRIIUbI4dRy874qMCIYQRBsBQ6v2HJkNMtI8pfWMFFzMKVjZqVojPuHbpZiJsVROnsEyprJ8GtrOI0plBD7xdx7kc1+1ENZNbH71k+rGXNwsaTtPa7vcFoZHFeOOedeIzvdfrp7BMCuNrt5RRH5rT/7S1WVtQ28Go8zqldve0wv3R7UVWVf1RWE9A0bgh282g0Qpeus5fZwjndHQXztKIQG2RNPh6NsGgEbTVi/FG32IovX/gGPbUK9+x66k0mSJYmwKTrOpcHulDp32wmYKu8drA/BYN82+7EpCgkdZ2EruPICxT+LxZlWbowpPfTAQIh66NGNbCUFNd7KjjKZueTZIJNTWasisKxdjs3hjJBtKdiUY609Q8z92VQFG7y+jgjmSCgaehktoGevYlGptjTqMAWJjN1Q7S5idJpSqd4MduM19NQ934ywfldHQM+xgGE867vaDZzl6+KoKazqLVpyGV+kUryh1CQv1QM3FrXoaV5MNvyt6vZwgXZIKaqKBxtd3C03THkcsTofdvhZKHZzKvxGM3pNA9FI0QHCB2+mg2bf5OWALEQYnQUj4fqBx/AvGDzcg9FCCGEEGJCkXSEmHDcp55I9K13CD78WLmHIsrEGAmzyz478d67XxMPhId+wCjN23krpg0QMgNIWaxjPgYxAEWheu50Kmt8KIpCKp05jKSqCgpgMKiYgVVrWvEvW5V72PS501BffwcAQ2s7m+6yPYtffq8MT0AIIYQQQoyFmfvsxGG3X41S4m/gFkKI4VLUzI9YP7LuhBBCiNExmEwc+9Af+NuiY+heubbcwxm1BDo3sxILKvE+cRI/CdwYUVCoxjzAHHp1kySNjgsjOvAloWEHxkKkuZ1VfJfp7EMl/8NfkrDZhwSYh4M4aSJ9nl/PMk9jKg30Px5lw4AFhfgQI2nEwjdEi963uE8D1DEd7f2m+X8udy5k1uPOSJirgoWNZ/nTuFWVqzwVXOWp4MquTu6I9j+mN1jIDODSEgZdxCgYjagzZqK5faAoKD2NdIqCDuiKAU1XMJCCxR8WBMk6gyp6KjN9YFkTdYcsQnl/4OOuw9GaTvNULMqVga6i93+RDTFt7HbOC2l26hqzm9cy22BkdTa0cVVeePT3oUBu2leq62gwGDCX8Mub1mSXOc1oxKAoLMwb2/cdrlzQ7IVhBs0AFEWRIOo4dGMoSDAbHPpOdvvq0no/2w6z2vg8lSSgabk2zfxPh+eraplnMgGgqL2fEc9V1dKupalUVRyKSqWqcl0wwK2REABPxqJ82dbMNiYzB1hs7GmxYFRV1qZT/CkU5IFIOPcJe8QwtzExNrY0mdkyu4/e3WLlR10dLDSZ+bnby5OxCH8M9TYgGoCFsj8XQoyCYrVSfd/dEjITYhKT43GjI+tOCDEYCZqJCUdRFDynnSxBs43c9I/fpLaxjsejRrTk2HyDkWo0MmvRpmzZMvg3cn7SId+gtKE1bjmfRq8Dx+dfo37zDXzzzaDTV+gQ23ErlgUiGE0mqt/9sOD+qi+XYLCYSccTA8xBCCGEEEJMGIrCgX/6fxiyJyQIIYQQQgghxMbIXuVji5MO4bVrbhmT+Qfof2zkW1TxHP1DSqXSN2QGECU97MevJsodrC6Yi2UE7WcAa4hzMys5k6l8SAA/I2tmqsZMJ0lS2YBVHRZaifM1YWow9QuaQSaMdTurOJWpTMdWcJ8ZlSOo50HWDbrctcQLrv+YWXST5DGaaR/kORiAv3sr2ddWuNyj21t5N1l4TKVB7d8Y9OdQgN8FAyNum6pQVC51u3HLF8iUjWK1wvzNCMYMNL+zjPTqtcDQwVVbXQ1TFk3HuHopySlzaH7qo4L7V7+zkukOK3ostl7jSus6p3S082Wqd7s9wGJlkdnCr7PBx3qDnAYDmdavL2sb+HF3J0/HomhQ0Fr2ZCyaC5p9kg0HLjCamGEs7fpL6zpN6cy+ekqfZrG4rvO9zkwrolNROElapSa8Gdn3nxUlF//u+aTd0mTiprzWsQ4tzTuJBO8k4ryfSHCi3ZELmfXVaDAwv899V3i8vBiP5bbrpakUS1MpHopGis7DpigcYLUNO8w4kQQ1jW1bmoihc7bDyeVub7mHNCzfstr4rK4xd30TkwcLCr8LBTjd7uR0h4NZRvk7vxBi/Tm/cwaWhQvLPQwhhBBCiAlJ/sImJqTEN8vLPQQxDljbmpmyxdas+uDLks7XYDax424LqF/+Oeal7w45feea1pIuXxTnnd7ArBkNuJctx/D5FyN6rKKA7b2PWTDQ/f4uLJ4KIhI0E0IIIYSY8Lb53nFUbzq73MMQQgghhBBCiLLzfzV2x9McGNgEB19me0i2x5MLT42FKswk0ejOC7iZUJjJ8E8Wf4vOfoGnoZrAimkmznIiIw6ZAejo/ICZ3MA3uXn1aB1kfingDlZzNtOoz2s26yI5ZMgs3454OYAaAJwYOZ+ZXEXhFy7aFIXfuL0cM0Dg47xOf0HI7Ay7g4tdnn6hsD+HAvxfMND34cPySk0dHgmZbXgGA8rmWxKMmWh+Zwnp5SM/Bhtt7mTJk52ZKx9/1P/+ti6UGsd6B82+SiULQmbfczj5ucvDKXlNfP0jjxsvu6ryZ6+PF+MxPk8lqVBVftrdBUBl9j22JK+B7ufu0rcItmrp3N7twq4O6g1G9rNY2c9q4/xOP68l4jgUhft81Wxtluaiie4Eu4MbggFi6MxvXkedwcCKbBCs7yeuTzVwgNXGAVZb/xmRCSn2MAyQC3+xpo7PEgkej0Z4Kxnnm1Qq16jW138ra5g+Cb+cLK3rXNDVkWsJvSUc4pZwiBV1jaglbCbcUC5wubnA5S73MIQQk4Chvh73BeeVexhCCCGEEBOWBM3EhGSaPq3cQxDjhMlU+t3Ywt22ZPrHrw97+pSEk0qudtPZzPQ5sa5tRm1uQ7daUNasQVm7ZkyWl9x8HpGPl4zJvIUQQgghxIbjnlLHt669pNzDEEIIIYQQQohxoWLO2B1PM6BwAo1o6CTQ+C3LxmxZAB6MHEUdv8sGtACS6DxGMyfSgDKMZrJgkRa29aECs7CzFW4+ZmRBqnaS/JsWzmAqd7B6xMv+O6swo2LHQJAUyQGCci4MBPu0vdlRcyGzHkuyQUGAncwWHqysHnT5rakU/45Fc9dv9FZwpK03kNalaXgUhZfi0fUOmQE4JuCJ8RONUlFBdMomBNd1E1zVSjIUxeSwknz2qzFdbvW2c9DWfrLej/flNee9Ul2Xa996Lxt+nGow4JKQYgFFUdjbamPvbCPibeEQS7PvZUOnn8fz3tM7mi1jOpa3EgkgwWN5jVMW4NaKSgmZTRJeVeUEu4M7IyFi6LmQGcCsEbYN5n+KDfY5v7nZzOZ5209E01iaStGmpflep58UUK8aqC1xW9948Wo8zgvx/uHddek0UybpcxZCiCEpCr4/3IDqKX2IXgghhBBiYyH/oxQTkm37bTFUVZJu95d7KKKMNEVl7VerSjY/g9nEVrtuyewv3y/ZPMXI1S+Yy7x4BOPbvcEvJZRiGMeI11vIK39YEEIIIYSYDA677TdYPa5yD0MIIYQQQgghxoXNjzuQN669dUyXoaKMYY9Zr72oxIGRmdhYTm8o4mvCLCHMPJxDzuNI6riRFaMahwG4iFkYUTmc2hEHzSAT7jqZxoIwmAllwNBYPg2IoRHr181W6IfM5GZW0p7XknY20/tN15bXqLYuneLhSLjfNPmuDHTlLh9ns6Pp8Gj2MfdHw7ydGN2XM0432LncbcMoQbMxpU6bTqexiub/flxwezIYHeARpeOpdcDa9X98/gku9ux2Etd1otkGo4MGaEYSvW7y+jikvZUUFITM5hiMo2o/ejMeY3k6hbnIQd05BiNL0/3DvgbgLxWV7GKx9rtPTFz/z+3hSJuNJJlD/CpgRGHzEbaJ5X/SLWpZR0DX+aHTxcWuwY/t21WVzU0mvtsZIAVUKCoPVFZhnaSfLW8lMp/lO5jNXOn2clB7KwA7tzVzsNXG9Z4K7BLAFUJsZFzfPxvrbruWexhCCCGEEBOaBM3EhKSYTLiOPoKuW24r91BEGUUbplCpe9Gn1gLDzCFl/3ioKICeeZDRZMTjtDKrfQW2T4bfZNZD1zfEIdTJr3bT2czXkpi+HNtvShRCCCGEEJPTNmcdz+z95KCREEIIIYQQQvRo2HYBdQs3o/nDz8d0OTYMbI2bj9YjdDWUOix8Py8gNR8nK4gWRLJexM8qophR2ZkKjBQ/mboCM1cylwhpUug8TxuLCY1oPFWYcWQPsQ8V9uqr59AUwH2sKWgcKxYy24dKXqOTeHY5c7CxNBuya8DCuryQWL452DGici7TuY5viGQfbyuyXvIbzVam01zc3Tns5/NQNMJDea1EpbC3tZ4DrMWflxg9dcZM2mJO2t9eCrSVZQz6en6z5O23Rp8AAQAASURBVNp0invCYZ6I9W5zPaGRp/K2w/0laDakzUxmHqis5qNEAgWIo9OlaVwyRHhnMP+MhLlwBPuPHn/w+viWvGaTjklRWFiCdjy3orClycTiZJJA9pyMG0NBtjdb2G2QcKKu6/wi0MX/4jEswO2+SmYaRxZymyh0XefuSOZ3mXrVwGZGE7uYLbyeDZ89FYtysNXGITZ7OYcphBAblGmLLfBcdkm5hyGEEEIIMeFJ0ExMWO7jj5ag2UbOsXYVe1C6RrP1pWsjO5Ao+pu3y0IaP/gYNdn/m+w2BFM6PfREQgghhBBi3PJMb2S/6y4t9zCEEEIIIYQQYtzZ5nvH8vS5vxjz5RxBHauJ4CeFDfgeM3iNDhYTyOvUGrlm4jxCE0dTh4LCdngxoNBKnKVE0NBpJ0FTNnQVJMXB1Badl45OAp036eI1OjCtR+AllBcOs6IOu4msEhPnMJ1fsxSArxk6oPU//JxAPQ/QBICSN96BQmYKsA9VAKioXMocnqaF2dgxY+g3fTjv+czEhgEFBQV9gOfUSZJuUjRixdhn/aXQWZkNwlVjpo2Rt5stsHiA1hE/TgzDNjvw9fNfko63MMyv7xwTqaS+XiepXNrVyauJ3u1+d7MFt6qi6zo/ygacPIrCApO5RCOd3LY3W9i+BEGgHpfntR3uYRl4vroOr+S9jodL+EUMQlUUnqyqxZ9Oc28kzHWhTKD939HooEGz28Ih7sy2bd7g9bFtCbf18UTXda4LBQhmQ3gXutyoisK9vireTsQ5vqMdgOfiMQmaCSE2GorNRuWf/4Rilt8JhRBCCCFGS4JmYsKybLE55s03I/HZ2H4LoxBiDCkKi3bbBvfr7/aUzZWF45PPMTvtJEKl/eZNIYQQQggx9kwOO0fd+zssLme5hyKEEDmKoqCoZfyP7gSnlPOPBEIIIcQks8VJh/Lcj68lGYmO+bJOZypfEWQ5UR6niZk4OI+Z/IHlI55XFUbayXw53acE8WDkW1RjyIbNejxNK+/QlbteT+GJ5xo6KgqriHAXa0hDrtdrOAGxvvKjWioKR1HHg9kg2GD8JHMhs5F4IG/eSwYIp03FSjdJrBg4krp+6+CgAYJ3AHtSyUPZZTgwcgz1Ix5jvj+zgjYS6xUyAzCqxdvoxCiYzURmL2T1U4vLPRIA1r7+FXPqHejh8NAT5/HkbRuHWG1c4fYC8NdwMHf777y+XMuZ2HCa02ki2aDLj5wuLhqkGe2DRJxX/Jk2vflGOV1JDE+lwcAPXG6eiEX4OpViqqF/cLqHP53mmmB37vrt4RCHTtKQ1S3hEH8KZfaBZzucudY2VVHYKS+I1yxfuiuE2FgYDPh+fz2mObPLPRIhxAYkx+NGR47HCSEGI3+pFROa98zTyj0EIcQobLfrQjxvlDdkBqBGotTMmVbeQQghhBBCiBEzO+2c8p+/M22Xbcs9FCGEEEIIIYQYl6weFwu/e8wGWZYLEx7MfEaYVcR5mY71CpkBuZBZj2UDhKy+IpS7fDi1bENvwOFe1vIrlvAcbdyeDZkBaOs1IrCjsBO+gts2xcWR1LEbFes519E7nalcxGzOZUa/kFkxHSR4ly5ewc8rdORuX5+Gt77WN2CmALvhQ9dHHv4TgzAa6WpYwOoXxkfIDCAVjqHMmAVAt6axKpVicTLB6/EYz0SjfJEsvg3tlRea+EtFJXUGA92axm+DgdztB1htYzv4ceC5WJTrg918mRxNV2RpfZz3mh1ncww67Y+6OnOX7/NVj9mYxORkzn5OzTeZBpzGpaoFzYYfJhOkJ+Fny4pUiquzgbojrDZ+UiTg+WOnG4A3E3H5fBVCTHqK1ULVHbdhP+zQcg9FCCGEEGLSkK8IEhOa6+gjaP/Vb9E6u8o9FCHECG25xyLcr79T7mHkOF2T85vMhBBCCCEmq+rN53L0fddRu+Um5R6KEEIIIYQQQoxrO114Ou/++T70DdBokS7SEubBSHef4NhITR8gQJW/tAW4cpf9JFhCpjHpdToZDRPwQ2bipPiJ7VvhJkaaV0e5nGLm4yCGRi1mtseLERUF6CTJnawBQEeHYYTE0ui8iJ/X8sJl+eYyeEBkOBqwsI74sKc3oTAXx/9n777j26qv/4+/Pldblm15O3snEGZC2FBWWAUKLQRKW7poWaWllBZKJ/TbwShtKZSW0E1/pQVayl6Blr3DSlgZZHvbsq29Pr8/dG3LsmTLtmw5znnyyAPp6o6jq6srWfe+7+EU6nBhQc6DLyCrFf+8JTT9b22xKxkg4fTwf10+fh/wD3hshsXCr7yV7G939A6LaE1D2v5reyLONIuVvZp29A77idnhbLLaEo9zVEsjPfGyG/3dLLba0MC78RiLrFa+VVrOccMM2/054OeFaISzXSUc6Rw6qJrNLf6+rnLTh+hS1pLsex3luvliOJJasz6e+i4xf5DtzK4U/6mq4W/BAN/t8jHHYsVS7KvejoG30gKePy6vwKIU13V1crPZ5dEO/aLfZ7e38o8qCXcKISYn2+LdqfzlL7DvtWexSxFCCCGEmFSko5nYqRluF+WfObvYZQghhmmvI5ZR/ezECZkB2Az5SBRCCCGE2FnMP+Fwzn3hHxIyE0IIIYQQQog8eGdPZ48zTxyXZWWLk4VH3EOsz/osHc1iJOlKW6It7dC3GwvOQWIMBvlfkTUG/GKIzmz2YR52d2DwPeZzFQv5AfOzjlONnVOp5wvM4KPUUY0DLzbKsfVbp8/RQXyIddxNnN+xOWvIbD5ullLObngGPNZBjJVs5lrWcxcNNA4RIvs005hHfhf2W4yHK5nHmUzFhSU1cPJlAYrDbqdr5j5sn4AhM4DuWKJfyKzOMFhgBke2JhL8LRjofUxrzbEtTfzc39e5LKQ1f8sIqZ1TMnD7nUzuCwfJ7GH2TjzGu/HU0PfjcZ6KhIc1z5u6u/hBl4+HwyE+29HKDzt9+JPD31/70qbpGmL64xx9Qbj7w6FhL0vsurYlEoTR2IGZlsE/wVVasGz2EOHHndXhjr4wrgWIJ5O9ITNgQH/R9fGJ0wVRCCEKyX3qx6i9714JmQkhhBBCjIHJ+Re12KWUf/EcOm5ZCeNwFUYhxOgow2Dfw5dS8ezLTLQLh7W2dRa7BCGEEEIIkYep++/Fmf++GZtrZFdZFkIIIYQQQohd0SHfOpc1dzww5suZh5syDLrM4NNJVPEgbaOebxzNm3TxIh00EGEebo6huvfx9G5mAC4sfIN5/JoP8TPwGGLS/JevJLCFEDPJ3i3IyCMhZYPeoEgtdiwo/MT4eZYQ2xnUsydlOefVnnYK+X9pYyMBvsDMrONGSHI722gxp5mJixVMwYMFNUjdXcS5Ma22tXSzltRJ7BXYOI4ads8Ip5Vg5Rym82PWEc/S3a6HBwsnUYeREdCbYIeOdkpGVRWtjmm0PPdusUvJKebv2yd8t7Sc8z2p9+//C/q5stNHd1pYSSnFpkT/COvRLU397r9dN3UMq50YDk3r8PZMTT2NZuhGAZ9pbwVgmsWS9/weCYe4Pi28B/CnoJ9HwiH+r9w7rM5o/1fu7a3h250d3FJRlXPce8J9oeHTXMPrviZ2bT1BqTlWK9Y8TjTYYHY/mztJg2bpnQRdShHMaAn6/dIyLChWBvzsSCboTCZJao0x0U7SEEKIUXCdeAKVN/8aNYzvQEIIIYQQIn+T8y9qsUuxTZ+G56PH47//oWKXIoTIUFpfjau8FH9rBzVzpjO7swPrcy9PuCOFsd3n07BmfbHLEEIIIYQQeTjtL9dKyEwIIYQQQgghhmnKksXMXX4IG1c9P6bLSQW85tNOFA0EScAog2ZODA7Ayz009g7bQJCzsXM0VXQR51AqB0xnx+CTTOVemmghig1FbJDw01DW0EUFNkpzHGIvw9qvw1qm9F4iWwlzNetyjuse5DB+gDhv0j8gsoUwcZJYs3RWe4JWms2Q2ZlMYXFGKC+bBJpfsDHn4x3E+Cc7qMXO+czCknHgx4uV1gH9l6AMC19hDhYU1iwHi5ScAD8syuNBVVWDUuhOH9HZu7P5v++SCE3cY17VS+ZRtamv09pPujt5KhLmJJeLmPn27Nb9Y6CfdJXwcDhInNQhxpjWREiFN1fV1FFuDK+j4M5oX5udeRYrGxJx7g8HudjTF0T9hMvNv0NBrunu4jCHk71t9kHnpbXmvI6+/fIN5RXUWSx8p7ODLYkEX+po40Snix+VeanL48Tt5yJ9nQ5PGCSgFkp7XT1KUWHISeEif+vN4Nh8qy2v8T9MTO6g2a1pXR0NpfBkfH5+2dxH3BsOsSOZIEKq6+zgewchhNh5GBVeKn/1CwmZCSGEEEKMocn5F7XY5VRe9jX8DzwMeuQHh4QYMdnssqqaN4N9N2+G1ma0BvVGe7FLyiq623xe3Ngg+w8hhBBCiJ3AzMOXUbP7vGKXIYQQQgyglPIClUC71to3Tss7D7hba537LPCRzfsMYHWh5yuEEKL4jv7JpWx84oVx+T280jyVeSWjD7yUYiWQpSuZFYOPkLtzDsB0XHyF2URJos2uaA/RMqI6XqaTV+nkJOrYh7IBQalllPNkAbq3AVlDWD02EaIpraMZpA5VvU03SygfMH4VfSfl1+MY8HiPVqLczKasj32LucTQ3MkOdtAXKmkmyrv4B3SUO50p/IGt/bqaebBwKXMH7aJWKFpr2pJJqif5iac7knV0vdhg3tPwzhvFLGdIdQctwtv4DiST3FBewWWdHQA8G43wbLRvuwok+++jrvNWcB0V/YZFtcbG+IUTQzrJo+EwDYkEZ7ndVI5zSEopxV42GxsScW7s7uI0p5vpZoDmUk8Z94eCxIALO9p4tqZ+0PVyT6ivq9jlpWWscJcA8HhNHb/q7mZloJuHwyGejYT5fpmXs1zuQef371Cg9/bJgwTNLvd19N4+1eUe8jkLkW6d2dFsfp7BsQ3m+HMtk++0uJ7ubgA/LfPmHE9rzeuxvu8Lk29NCCF2Ze4VZ2CUDn0BDSGEEEIIMXKT/9JOYpfg2GN3yj59VrHLELsoLQGlAabutZC9oqHe+xP5ApSb7U5igdDQIwohhBBCiKJbduHZxS5BCCGEAFJhLKXU40qpDqWUBjqADUCHUkorpTYopW41x/OOQQnLgGuBDUqp15RS541mZmadd5nP5S5geSGKzFjGXKXUtWa9PetJm7dfMx+bW+jlSl1CCNFn2gF7s+TcM8Z1mYU4GN1ClA/wDxj+N7bxLxp4jBZCWYJo6ewYOLBwABV8nPoR15IE7qeJ9oygFzBk6C1fdhR1g/QcWUBJ1uFbyH6sYzZ9gY730tZjG1HuooFb2cxVfJA1ZGYAX2cOJVjxYuM8ZnEVC/kmc5lqhtaeox2dFijbRohb2dIvZAZwIN6hQ2bDPKCU1JonwyGejoR5Pxbjj4FuZjZsY1bjdpY2N3BHMDD0THZCRl0dvpn70rWhIW3oBD4YZ6pUHRCJENWaY5xO/lxRxVlpgSMHqU5XUy0Wbuju5P+6fHyvsyPrvOxKjVvILKY1BzU18jVfOz/r7uTqzs5xWW6mH5VX4EQRAV5MC+bNslr5v3IvAFsTCX7YNXh9P+3ue/z8kr4TtF3K4Mqych6srmUfm41urbm8s4Pvd/mID3I8vCmZ6lS2h9WGMchrUp8W/AxrTXKcj7F/t7ODizvaxn25ojDWmR3NFubR0SysNdsSqe8Fc/PsgDZW2pMJHgwFeToS5p1YlMZEgugotsFAMsnRLU29908296EXpnUp3MeWes6Z+8jB3p9CCLFTsdnwnHNOsasQQgghhJj05IIlYtKo+vZl+O9/iGRnV7FLEbsa+TG6l8VuY6+D96Hi+VcxdLLY5QxJW610tWY/QCWEEEIIISaWOUcfxJ6fPKnYZQghRF6UmtgXXZnoJvK6U0pdC1yex6hzSXUcO8+cbiVw7Rh1CVsK3KqUuhVYDawCXgF8QDuwsafLWlrntaVmjccyMFR2hdZ6ZaGKMzukXWkuE7O+nhoB9jcfuxy4XCm1GviZ1vruQtUgdQkhRJ/lP/sGH9z3JIHmwnTeGooTCyFGf7zgQCp4kOZ+w9bT15XneTo4kRoOzOh6lM1iPNwzynrew09tRnewJIU5XhRF8xDNfJwpWR+3Y3ACNTxidmabhYvNhHidLl4ndZz0JGrZHy8AdTjYm1LeopvHaOVDgjQQwT9IOK8OOx9nSs4OaB6sfJrp/IqNNBDhataxkBI+IHew6+A8Xhu/jjOzYRslSnGzt5JjBumOBHCxr50HwrkvJnh7wM/Z7uzBvJ2SUrDkANY9tY64/4NiVzMstjI3ur2N/4SCXOZrJ5ZlnAgQ0ZrHImEei4R7hwe15sdlXtzG+F5HOaI1F3W08XhaLQD3hIP8XFdgG+c/XLyGwT52Gy9FowP2Nme7Svh2pw/o3+0o08+7O2k2g2EH2u1Zn8Nim53/VNVyQHMDLckkfw0GsCnFD7N0TmpM9O1Hpg/RQfBbpeW8Eo2yOhblX6EgDYkE/6iqGXSaQnk9GuF2M3i6va2FWyoqmTIJO11NVlrr3u16QR7BsfdjMZJApWFQO877jUxXdvp4OMvnVJlSTLdYudFbySJb/mG4+9M6EgIc1tyABrrTzln5f5V976uPu9zcEwoO0s9UCCF2PuWXXYptnlx7SQiRIsfjRkfWnRBiMPLLiZg0rHW1VF/9PZq/ns95HkKIQrLYbcw/YC+mbN2G5bmXi11O3jbvuxe+F98sdhlCCCGEEGIIthI3J/32qnG7UrUQQgiRSSm1HLiVVDjLB9xJqvPXq2khrrnm4yuAM8E8uzvlPOA8pdRKrfX5Y1jqUvoCSr2G8Rl6fqFCZmaoLb072t3Al3vWV5q708a/DTgDuEsplWt8qWsc6xJCTD7u6kpOXvkj/nnaV8ZledNw0pE1UjI8D9NMPXYa0zqJOTEIp4XYHqaFepxMw8EjtPAqnVzOXNxph8S7iHE/TYyWJUv3KKOAHaXW4mch3exB6YDHHqKZIAl2x0OIBNsIDxjnQZp5kGb2pYxZuFhDd+9j6wgOGL/H0VTl3ZmtBAvzcPOeGS7LFTLbl1I+Rn1e6+eHrW8AENCaL3S0sZvVxnvxGHtYbXyhxMOZ7hJaEgkeCof4W9DP+2aHm1zOmiwhM7sNtce+NKz30fng28WuZkTm7+EhuamVF6OR3j2CAVQZBh5l4FIKm0qFqZoSSfa32ylRit8F/NwdCvKt0jLco+iRuD4e4+/BAIusNs50uYf8fnyzv4vruvtf4HaR1dq7zR3V0siztdnDoGOpO5kKk3Qk+wd4lVLMtFjYkkgw15r9NKB7Q0F+7e/bF/zaW5lzORaleLl2Cpf62vlPOMQfAn6+U1o+IJj287TuaJ9wDf5+syvFr7yVfKSlEYDmZIJjWxp5Px7nq55SvlVaPuj0IxXRmm+mdcZ7LRblhJZmHq2p69dlTUxcTckkXVpjAebk2L7TvR1LfVfY02or+u/JzWYYs96wEEPTkUySBLq05p14jEfDoQFBszuCAa7t7iSqNUnAApzsdPPtsrLewGSProyLIlcoRVlauG6OxYod6WYmhJg87PstpfSiC4tdhhBCCCF2QUqp2fRdyHMeqePFG0gdK36jaIWNIQmaiUml7FNn4v/PAwT/93SxSxG7EL2LdzQrm1rLUhtYXny12KUMWyiQ+yqXQgghhBCiuKwuJwtPPpJZH9mfPc76KCU1uU9+EUIIIcaS2WHqLvPuFVrr67KNZ3Yr20iq+9T5SqnzgGvJCJyZobUVWuvVY1f1sG2kgDWZobvHSR1sgTwCbGZAaoW53m4lFaBaqpTar1DhKalLCCFSdjt1OUu+tILXf3/X0COP0tFUsZbuUff6SkK/kNmeeCjDxr6UsYEAj9IKwDZCbCDAq6TCD9exkatYSDtRXsbHBwTI3kspf7tTwsFUoNEoFBpNHM0WQszCyeYswa/hiqO5iwb2oBSNJkISA8Uv2NgvXDeUN+jiDboGDLejOJOpzMONGkVA7jAqe4NmuZxEXV4hszAJ4hlbyntmB5u18Rjf7Ozg78EAq2NRDOhdC591l3BVmRe/1niU4r5QkK+boZKKIneyKQRj+gw271AEH1pb7FJGRbe3A1CSFnZ4sLqWPWz2Qaf7RzCITyfxJ3UqbTECb8einNTa1xHxiXCI8z2l/D7g57wSD0vsA3v9PJLWgajesPB0bT0ACxu3A+AvwvHhlkSCd+Ix7MDmxMCQpd1ct1XGwBWV1Jqv+VKvgQJW106haoiQlUUpPlvi4T/musj2brozrbvSia7BOxACtCb7OqCtTwuK3uTv5twSD5VZah+tn3T5WGcuq6e7U4dOckprE9eWV3D0EJ0TRfGtMz8LZlmsOPIITK01xx9q/zIeej6rflzu5Tini6TWdOokV3V1ck8oSCzLN6QnwyHaM8Kkd4QCPBwO4kvb93zeDFP/OS189mb9tH7TzbVaU9+etCakk7jUzv+5KITY9dh23w3HwQfjPOpInB85HJVH6FgIIYQQolCUUkeTOt474EKfaeP4gFu11t8Zr7rGg3zrEpOKUoq6m37Oh0sOgSGuYCdEwezKQTOl2KemHMva94tdyYgYVrlKnRBCCCHERLTHWR/lhF99B099TbFLEUIIsYtLC/H4gGOGE8TSWq9USt0JPEH/gw9zgdfMQNBECJsVtMua2WlrWKGpdOZ6g74Ocq8VIjwldQkhRH8fven7rH/4abq3j76712AqsTMNZ9auW6OxBj8Az9Mx4LEllPM0qUDFHFy94/WEz0brXQL8iHVAKrAFEB11lC63X/MhHaSOe9ryDIX1BLFKsBAlyQJKCJHgQ1KBka8zF/dIUztppuPiKhbiJ04Xcabi5Da2sN18vb1YseXZhSr9lPpryr08GQ7zWKT/drPa7FIz1WJhP5udc0o87G+zo5TCa4YPbgv4e8c/bmcPkDgc7Oh0Ety+vdiVjJqy2dBAZVr474rODv5eWUNQa/w6SSCpCeokAa0Jak1Aa3w6tWX4df4By0wPhfpfePKRSJhHzG3rwXCIp2rqmGPt31EoYh7//bW3ko85Xb3dgB6vruPY1ibak0nWxWIsyOhENJY2mOc/RIGvesoGPO43u50Fs6yrGPTupb5XWj5kyKxH+j5nYzw+4Pme4XJzdyh3l8RM+9rsLLPZeTUW7Td8vsVK6RgFYP5l1rfc4eRGbyWH2R1c1tlBUzLJ5zvaONtVwjXl3qJ3vhK5vRyNALAxEWdrPM6MIQIGa8zta49xfH/my1CKCmXBa27v8SxfH2ZbrRCBjzvdXFZaxuZEnB90+tiQFjB9qbaeKZbUevhzMHfge03ae609mWSaRYJmQoidh2XGDCp+dBXO446Vz2khhBBC5EUp9U1S3cbydZfW+slB5vdPUhd6BHp/JNFpt3tUAFeYx5WP0Vq/OYwaJiwJmolJx1pfR8lxxxB46NFilyLEpLfnR/bD/tzLxS5jxCx5HkQRQgghhBDjo2x6PR+95YcsOuXoYpcihBBCoJRaSl/IbD+zY9mwmGGf/ZRSjwPLMx5+wgwEDXu+aTbSF1AarrtJdWgbzfKzeYK+mlYOJzTVwwxPHUvq4M1cUh3ljpW6xrUuIcQkZ3U6WHLuGTz9o9+M+bKOpJK/sWPMlwPwNO3sIMx5zMBPgoV4APLqqDUSYxkwq8XOK3T0hsyAAR2/ckkCV7Gw9/6HBPkL24BU+KwQIbN0Hqx4sBIj2RsyA7iY2SOa31muEj7lTr12Ca0xgPvDIZ6LRDjS4Ry0c5LNfKlnW6w4d/ITUsOLltL56KQ4LwXMrmHnuD38NRCgIZngrViMPZvy2zeMPGYGM9NCKXtabayJ9+9qeFxLEx/UT+t3AnPEfKtNtVh6Q2YA861W9rDaWBuPcWZ7C3+vrGb3ceqa1JbWDez/unxcX16BOy24lzD3D3VZjn+md4HK9nguvrTQ2rS06bqTSV6PRXnJDADly6oU/6yq4f5QkHvCQZ6KpKY/0eXCNkbv12V2B09FwqyKhIlrzekuNwGteS8e4+/BAHeEAnQkE6ysrB6T5YvRezytw+ChLY3Mtlj4Q0UVC7K892Ja814s9R7fewJ0NMu1VVvNB7J9rs83g68tyQQzrVamWyx0pL3/97bZekNmQ3kgbd1Ny3MaIYQoOrudsosupPSrX8HIo2OqEEIIIUSa+cB5kPNH1Mw/0zYAWYNmSqlXSF1IVJnz6wmYdQKrgFcwjyGTOja3HKgEViullmut/zuaJzIRyF+RYlKq+ckPCT33AsnOrmKXIia5yd7MrLS+muqZUzAMA8Mw0FqzY91mgq0doBQ1H2wodomjUuVxsrnYRQghhBBCCAD2/szHOPHmH+AsLy12KUIIIUSPu8z/jzYMBrAC+BDwpg3zkupkNZwr62W6VWt9nVJqOalg0VJgWcZyeqwGXgUe11rfPYpl5mReqS+9e9sVo5jdl+m7SuBypdR5IwlhSV1CCJHb4Veez7oH/0fDa2vHdDnz8TANO9uJDj3yKEVIshY/03FxMBW9w+fh5jU6e4MYO4NmojxIS79hI63+JXy9t/di7P7u/gnre2+fSA3WPLuZDcZihk8+5nLzMZd70HE3xeO8YQYM5g/R8abo7DaMBYvQVjsoA5RCxaIk310DiQSqspItq94udpUFk5wyAxp2UGYYPFFTxxEtjbQkUyEmK1CiFCXKwG0oSpTCrQxzmGKe1cY+owiMfNLl5orOVPfDgxwOfu6tYE0sxppYjD8H/USAPZt2cGlpGRYUBrDJ7BzkyDj/yKIUf6+q5tNtrayJxzirrZW/VVWPS6BlTto2fX84xP3hEL8sr+Ak833Rsz7Ls3QGW5vW1ahkGIGuaUZfuOyCjjamWCzUW6z8PtBN9wgPlNuU4hPuEj7hLmFmwzaswPp4fMjpRuq8Eg//NTvY/S0Y4PMlHj5fkgqyfhCL8WosyiORMM9FwhzqcI5ZHWJkwlqzKWP72JRIsLy1mQtLSvl2WXm/x9bHY0SAUqWYOQEuOpt+uft0Pd0Cs235PZ9f68xQ7PvxGO1p77dvl5ZnmWqghNZsS6QCanWGdDITQuwc7PstpfKXv8A2fzQ/lwohhBBiV6W1vkAptRG4hr4/xXr+NLub1HHZVVrrDwebj9nJbD/6B8wgdQHP6zNGv82cphy4jtTxuseVUvO01jv1KeoT/NdVIUbGNn0adTfdQMNnv1zsUoTYae1zxP5UPv8KRmtzv+EzPCVsP3QJDqsFYyfuZgZQ+uGWYpcghBBCCLHLc5R5OOl3V7PX2ScXuxQhhBCil1LqWlJXnytIxy+ttU8pdQzwWsZDc5VSl2utrxvl/FeRunpeL6WUt2fZo5l3vszl3Zo26LrRLNtcZytJXXkQ4Fal1J3DnafUNT6vvxBi52R1OjjzXzdx27LTUxeYG0PlBQiaGWTvarQYDyuYwtO081/aAGgwu2rFSHIHO2gi0i9k1nMZ2jKsdGU9zbvPkVTxP3O+xVaOlfm4eY3UxTYPwsuLaSGyHta0cEw3cd7DD0ANdg6nclxqPTAt6JePZNrrk098RWvN9kSC+8NB/hUK4lEGq9PCNBd7Ju6FbIw99uTDN9sIrxr4NdO723ymTLMRMDzotW8Vobqx0dES6d0iPIbBC7VTCGqNWynsBehkFdWah8MhbKQ6du1rs2MAXVpTljb/EqVYbLOz2GbnTKDWYnBddxfdWvOjrs4B8y01BtZWYVi4o6qGz7a38nosyqfaWvhrZTVLza5tY2Wxzc63PGVc7++72O6lnR1c1tnBN0vLeoe9H4uxKhwiqjUxUuvmjbT3xm/93fzW300UTULD2e4SPmMGrzI9nNYN6X+DdC/7gjv79Jm2xuMc0dLYb68bB1aFQ8xs2MZtFVUc7yxs55JD0l6XDzMCS3dV1TCncTsA2xMJhitihqAWWq39OuKJwnk6EiYITDUsPF9Tx99DQa7q8hEFbgl080A4yB2VNcwww1lrzbDx7lYbb8diBHSSQ4oYIOzZKpIZH2w93TfjWQKbPR3NmpJJWhIJphgWLEDPFnrYIM+nOR6n1lwX6XNuSo6mL6QQQowDh4Pyy79J6XlfRk2AoLAQQgghdl7mBTo76DsGdwWwUms98IefLJRS3yJ1AdH0oFoHsFxr/fogy+0EzldKvQb8jtQFTQ8Y2bOYGCRoJiYtz4nHUXHJV+i48TfFLkWInU71/FlUPfsS2X4PN/wBZryUeU7Uzsm6vZHa3ebT/N6ozxcTQgghhBCD8NTXMO3AvXn/3if6Da9ZPJ9PPXgr3tnTi1SZEEKMDWUoVJYTEkV+Jsi6uxzwjTYAlk5rvVoptQpYnvHQtUqplYUOBBUhYHRlxv1bs441PLfSF5zqWcZwu35JXUIIMQjvrGl88t5b+PORnyVpnpw9FpZRzjtm2GkkKrDSYUYTPslUKrFhx8COgQODdQR4Ki0MVkMqWPA23WwkOGB+PUGzLuJYgGqsNOUInNVjpwIbHYzd+snX8dQQIsFrdFGGtV/ILD00l/5tqid0B/AJ6imZoKcIGOT/HTChNed2tPFkJJz18Qql+F8kjE0pFlhtOCdYAGTjG61EWruyPuZ7byu+98a5oHHQ/MoHVO1VQ7Il1aXPXqCAWVxr5ppBoXzsnxEGu9hTxmyLlccjYZJakyAV5khqzUKbjTmW7O+XcsPg/1VW8/mOVl6ORvl0eyt/rqjmQMfYhs2+WlrGV0vLuK6rk5sD3UAqgHtdd9/2tDLoZ2Uw9/725Vj/0O/7Xb4BQbNkMsn1/m5+Yy4jkwG8VTeVEpXqAJdPyOqFSJiz2luzPtazd/1yRxt/qKjiWKeLG7o7OdnpZpHNNuS8B6OUYo7FyoeJOK6MOjekBc/2sw+vK937sRjHtjYBsNhq41SXmyMdDnYfh+52u5IHQ6mw40ddLgzD4DMlHj7mcnOOGfTckkhweEsj0y0WplmsfGh2AXs7FuWUttQFdb/pKeMrntLeDpnjqa+jWf9AWU9Hs2iWZHW5YTDVsLAjmeDQ5kZOdLl655PeZbDHDIuFrWZQ8oCWRjZNSf3Wbp1gn31CCGFbvBijwkvkuef7DbfOmU31n/+IbcGCIlUmhNiZyfG40ZF1Jyax84GNwLFDdS9LZ3Ylu5b+ITMNHKO1fiOfeWitVyql5gHfVErto7V+c1iVTyDSG1tMapXfugTb3DnFLkNMYnqS/jg3v86bNWQ2Gc0vdxe7BCGEEEKISW/agXvzyf/cwj6f+3jvsJo9FvC5/90uITMhhBATjlLqcvPmz8Zg9tfmGH5ejuE7BbM71+VpgzYWqBPcaujXpuXyHKNKXQWoSwix65pxyFIOvfzcMV3GXEpwjuDQ9DFUciZTekNmh1PJbnjoIs5/aeNRWvgvbdzBjt5uZydRy0F4AYin9UBL7/KV3tcjAQQH6Wp2H00jqr2Q6nDwUWqJkOAlc1ef3ontdOq5lDnsTzkzcXE01b2P+enr0uMY4+dRQt8J8GGG3x2oR+YhKn8yyatmN6X3YjEu8bUPCJmlT9OhNb/yd3NSazNXdo5tt75h2++gnCGzSU1DoG5+YWc5zJBZuVIszRICOtnl5kZvJTdVVHFLRRW3VlRxW2U13yotHzRA5TEM/lpRzSF2BwGtWdHewgs5wo+FdnlZOVumTOd33uwdCqcaFpbZ7Bxid3CUw8nxDif72+zMtFiYa7GyyGql1HxumXs/fzLJ7KYdOUNmAC/U1lNmGFiUGnQdBZNJvtDeysyGbQNCZu4c053b0cbMhm3c6O/mVDMoNFrnmkG6WwLdbIj3hYZvNrvDHWC3M8+aX6Dt2UiYmQ3bekNmAO/EY/ysu5PjW5v5SZevIDWLVMe4xyOpoNlJaZ3uygyDe6tr+VmZFyupz/QtiQQvRCM0mp27Qmnz+bm/iws6itOZtOe83cw8mbWno1mOHp5XlXuZb7ESRnNPqO9byhxrX/j1nlCAb/ja2TdtvyZ9y4QQE1npBedR8/e/YV20sHeYbfHu1N57j4TMhBBCCFEwSqlrgLmkOpDlHTIzpV8ksidkdl2+IbMeWusrgE4GXnRypzIxL1cmRIEYDgc1P/khO87+fLFLEZPVJGzXPWvZnrhffH3gUbxJyvnqW8xathebX11b7FKEEEIIISatD594gad+dDPu6gosdhvKMFhx568oqcl+MowQQghRZGeZ/19Z6BlrrVcppXxgnv3ef5kF655WBGdm3L+7gPO+k7QgnlLqPK11vq+N1DW8uoQQu7DDv3sha/7xEB0btozZMg6jklVk72aTy+FU006096j+M7TzLO1ZT8uejpPPMA1nWtjpACpoIEI7MdqIoDDozhKAyoxTlGLpHS9IkiCRYdVdSFeROhFzKyH+wNYBj1dhYy/KADiJugGPz6Hvgnt30sD5zESN0UGgQNq6bSfGVEZ/HO25SJizc3RBcitFUGtu8VZysstNMJkkClzma+dxM/DzUrR4r10mY/oMPlg1CduV5WnL42+w+9F7kHw3v2NyEa3ZGI/xbCTC5kScGZZUXHQ3mw0rEEj23xOc5nRxTXkFa+Mx/hDwYwe6tOYAu505FhsnOJ15dd4aDrdh8LuKKvZu2gHAxb52XqubWtBlDOajLjf/sVg4ra2l3/DPlXi40FM66LQPhoJc6Ovbn74WjXBlZwfvxQcGb2/yVvBVXyq06UYxJUent0yHtDTSnhwYfXmkqpbFZgexmQ3bck4f1NlDOMM1Ne2Yfo3ZEUprzYPhVBzpY878Lkx6dlsLz+XYp8y3Wlkfj3NrwM+ZrhIWjLITm4BnImH8WlNvWFiSJST66RIPJ7qc/Kq7mw/jcT6Ix+nWSeZZrXzC6eadeIx/hlJdTVdFwmitC74PGErP0jLfBc9EUttRKMc2foLTxfEOJ2/Eovyiu4unzO3u/8q8ADTH41ziGxikXmCV0wCFEBOX/49/Ir55C46lS4m//wGqtJTq36/EUl099MRCCCGEEHkwO5J9C1ihtd40glmcwcBrhYz0wqS3AV8a4bQTgvyFKSa9kuVH4Tr4QEIvvFTsUsRkZEyuxpCO0hLm7Nixy3QzA1AKZgUCbC52IUIIIYQQk1jUH+R/P7yJ2j0XUrPHAvY480RqFhf2KtZCCCFEIZidppYCq7XWvjFazCpSByrSLVVKecdwmWPt/Iz7rxRw3hsy7q8g/xCg1DW8uoQQuzCby8nyay7jrhWXjNkyDqOSF+joF0YatCbz9OxK7JzNVP5OKsihSZ24PQ8360mdQL4f5RxHTdaOXadSz3O0o3HzX/LraJItjDZeKrHRTl/HndvZxgbzeWbTTowkGiNHeKwCGyuYwl000EiEMElcBQiAZUpmnINRy8BQwGDSp1bA7/3d/DHoZ1ti4GtxvMNJjcXC34IBZlgsnOB00ZZIcHlnBwGt6U4LtnhU/20iap7UH9aa/4SCHOd04TUMnGN9cMxioTlSSiJcnK46g4mSZBXdPEEX+1PC3rioxUo1hQ7KKJqaNTV5jLkmFuWMtpZhBY3mWG24DYP97Q72tztGXuYwNCUSHNLc0Hu/vggXKV1qd3BvVQ1/CPgJ6SSPRyIkcnRJSudK2+b/6O/mqu7OAeNsmTIdgA/TuoAF85g3wLpYtDdkZgAnOl1cX16BJ+34+vfTOg7OsVh4sLqOF6IR7ggGWBUJMzvPQNtQNifiGKTCPmXm8pVSvXval6MRPmt2PcslpJP9QmYLrVa+UOLhKIeTMmXwTCTC+b7U+9syyO7k8XCIi33tHOtwssJdwpvRKPOsVo5zurDtSgfp89ATBDzR6cLIsW4qDSs/Kq/oN+ztWJQvtrfSlPZZ8PkSz7iHzIDeYHfPu2ZtLMqJrX2d+h4Ih7gl17RKscTu4GJPGU+1p8KkJeb225L23KoNg9ZkkoPtDu6oqMo6r5pJdl6LEGLnFH3jTaJvvIn71I+hXC4qfnQV1tmzi12WEEIIISaXM4FOrfW/hzuhUmoOqU5oPT8/a2CV1rprhLU8DnxTKTV7hKG3opOgmdglVFx8vgTNxNgYxY+R8w/aC2+JnUhCE4km2LFxO/7G4V3Js9D22WchlhdfK2oNxWBZvwllsaCzHKwUQgghhBCFM+vIA4h2Bzj4G58vdilCCCFELst6biilHgd8wK1a61UFXMbjDAya9Sy7kMsZF2nhvHQbC7iI1Rn3l+cTypO6hleXEEIA7P6J46hZPJ+Wd9aP2TLmU8Kb5HdsPpYWZliIh4uZzbO0U4mNeZQwDScAj9HCDsI8QSt74GEWAzvTODB4gOYBw7PpCSMUQwU2Pst0fsWHvcOyhcxOpoYgSZ6kDQ20EUUDCTRWFDX0D9ksogQLigSaG/mwN5RXiY0p5nocShLNdsLYMAiRYBthPiSIAdgweBd/77hfYRbWLKG/wfW93osatw/oIXdlaTktyQQXlpRSZRgc1dIEwOfcHm7s7uTGgJ9s3ovH+Lqvna95SvlFdxf3mcGFHt/r8vXevr68grPcJcOsOz/xfQ6k7cE3xmTeI9VBnPvxcT+d+Mxw5Vuk1k8FFu5kXsGX2b52EzUzbBCL5RynOZHgvI623pDZwXYHr0Yj5J4iRecZgCqk+0LB3rqqDYMHqmrHvQaAJXYHN9sdXNnZAUSI57EqHKovAJMZMjvO4eT3lX3dRW7s7ttvf8o1dPevOwMBvtnVFyK7p6qGJVnCf38JBnpv/7jMi8cwONbpotwwWBUJF6z3YiCpe/frvmSSHYk486x9QcrG5NDHiD+I9XV6e7qmntkZnaP+Gep7LnOt2UOaSa25xNdOSGvuC4f67Y+qDINHquuoK0JYcSKKas3j5vo5yeXKe7rN8Thnt7XQpTUzLBYu9ZSxh83G7lk6oo2Hnm14QzzOe7FYv5AZwJGOoUOxmxOpbc8GWT9ZV+footiSdu6DQyneiUUJas0Smx2LhBqFEEVk339/sNtxn7mi2KUIIYQQYvI5Frh1hNMuzzLs8ZEWorVepVJXPFkKbBrpfIpJgmZil+A+5kiM8jKSnSMNlQqRm2G1csAR+1Dd1cyTG7sJtvkGHd87cwqHTHPjXdf/QsWRymo+XLwfbpXEkYxhGAb+sIGKJ7B1dmLsaIKyUhKlJSTcLuJOJ1GbjXAiSXd3gKZ1m4kFQjmWOrQ5B+yF54XXKNgv9jsRQycpra+ja3tTsUsRQgghhJjU5h5zMLudlu23GSGEEGLCmGv+Pz0IdIZSaoXW+u4CLSNXqGhujuET3YAPd611ZthpNF7NscyhXg+pq/8yC7X9CiEmMWUY7H3OqTxx5Q1jtox1BLIOL8EyoNPZHvTvLlONndOoB1IdmP5DA2/Q3fv4JkI0EOZcZg6Yfxfx3svQAlRhsIJp3M52AmmxsgqsdBAfMP14WEIZH6GKMqxUYqV9kDoeoIVT6Au0/IbN/R7/DNOYT19gyorBcVTzKC2ESXIf/Y+HVGBjJqkT+bcT7l1fEZLUYidAIu9OdIdQMSDoNlzpIbN9bDb+UVnT28UF4LFwiA/NE+9/nKULU6Z/h4K8a3Pybnjw42jf6uzgYwcsx2ZXWElghPzoLZvQgezbbb6M3fdgw0NvjGoehdZIjIvYTLe5/ddipTltm+sgQQdxKgp9SomGf1sUX9+yjQpl8FRtPd6MTjvf6+zo18nuhWhm7HCgCmXw+SE6Uo2FGVYrDlLb7Eu1U4rSMSldz6uVT0ezR3O8H96rm4o74zVJfw2+XVo+5Lyv9fe9Lw+1O7KGzJ5JW/7RDieHOweGiQqxNruTSW7w950nsndTqjtmeuxo3zxCSOldyqqzdIcqM1/7kkG2gWeiEfw5uvS1JZM8Gwlz+hiFXXc2z0XCdGlNrWGwbBghsb8F/XRpze5WG/+sqhmwfxlPCa1735O/9HfxS3//85W+V1rOeZ7SIefzvtlRMAHUDiOI+Bt/33ekbYkEJ6SF3DbXTyv6/koIsYuyWHCfdCKlX/x8sSsRQgghxOS0FHhshNPul2VYIS4QWlmAeRSFBM3ELkFZLLgOPZjAQ48WuxQx2cTjHL//PCrefA6AI3bbk4ef74QsPxC7q7wsWTKXGWtfxVgXHfC4o72V3dr7dzTz7nsI7f9LO88kGMJoTF2tKtMCZZDcbSbB2ho6YglCwTClpW4+ePEtkvHsByNdFWXUzZ9FjcuG55U3RtOgbaeWLC8j3JX9SpdCCCGEEKIwpizdg4WnHFXsMoQQQoih5GrbcC2FC+q05xjuLdD8x9v+Gfd9hZy51tqX5QS4/Rn69ZC6+i9TgmZCiLzMP+HwMQ2a5TIPN59gCgBbCLGZEAfl+GjsIMaNaR2/0m0lnHX4R6iiCiv3mF3NzmcOdiy4sBKg75iNAubiYiMDAxjpQbWxsIEgJ1LLu/gHDZn1uH+QDm0bCPYLmgEcSAW74+FOGtiWsZ46iNGRo19UMwOPaZVgwYmBNm9Px0WUJFXYOIiKIWvPxpIWKTEAD1a6iPNmLMb2RIKFaWGBn3TlDpddxUIA3qSLe2jsHf5uVzsHU8ELdOSalKW42fL4m/0HKihfsIDymVW4HBoj0IV2laC6Okhu3JBzXkZNDUyZTlA72fbUO2O78YzA43TRTZKp2PgC1RyOh6fp5qdp6+xMNnI6FVxATcGW+2xJjKs/TL1/O3SSvZt28FbdVLyGgdaaq7o6eSSS/X0MYIGskccjHA5WR6IsH0bno0LY02rrDUbOa9zOB/XTcBbxgGvP+2iojmYvRSPcbnYT28dmY2siQXsyFTp0ZdSfSCZpSPYFclfHopQnDN6Px/ik042RJcjTljb+/6uoylrDNzr73osrvf3PuSrk2+XdeGzA/CxAlFTY7GMuNxd7yoacz6K0LmUntDZxRWk5Jzhd2Mz1td48Hn+kI3eXyL1tA4/yK+BUp4v/hENc2tmBTSk+lkfXuMnuITOIeKLThTGM95RHpbbHJBp3Ed6LSa05trWJdTnOzwC4vLQsr22ux0Jz2xssxJjNiS4XfwxmPwcigZwwKIQoDs+Xvoilrq7YZQghhBBi8qok9wU/h7KcjJ8ktNZvjLIeHzvv8V/5u1HsOtyHHyJBM1FwRjJBxbp3eu9XvL+GEw/egzUhGzvWbsA7o56qukqmOjW1H7yN9Y3nhzV/2/q3sVaUEe8YuhufoZMY6zdRtn4T6T9Lvq8H/mA954C9maISOF5fi/H6mwMe39W07rkb0aeyXexZCCGEEEKMxiUfPsErt/yd56//Ayfc+B2MYVxxVQghhJhgCtltzJdjePYzMCe+zA5duYJ0o+Gj/4GYpdlH60fq6pNPXUIIAUDd3osoqasm0NQ69MgjcBgVPMbAeZ9C38mGM3H1dtfK5t805HxsSo5OWlYU++Bln4zj+p9hGn9kK11msKsWB+/l6Lo21jmhLuL8ko2E0jqsjZQ1Rx+gMmx8iZlESNJNnLtpQKMpxUoFNrqIMwMXLUSpwIafOBGSVGFHAfU4mI0bB6PrEJNE00KUEix4zFMWnFiowU4LUU6mliWUczXrAFgzbQYLOztQZWUEKqv5sGFb77zSu78dgJcb2Eh3lqDeNJwcSzWbCbKD7B2y5pCla46Gzg+20/nB9n6DF528N9A/aKbcbvTue9O2I0Dr6vXw1vt5r5Px9iyp8MGnqORIUh11jqSUX9FMMG0b/BcdrCbAz5lBGaP/Xed5T4TMt9jeTTtYbLUyy2Ll4YyQmUspVnormW21YQWmWa1siMf4eyDAbWkBiv+EQ/wnHOI3upJT3OMX0plmsXCq08W9Zijmt/5uLi3NP0BSaFbzrR9DE9caCwzoWtScSPCVjjYSwGlOFzd6K3krFuOUtlR49couH9eU9wVGj2/rH2r9fEdb7+2rOjs5yemkMZkkgWa5w8UZble/vVg3kK0HWntaGM2eo+tUIWJC8ywDT4uaa7FwdXkFsy1WplvzO23KphTXlHv5dqePLYkEX/G1U2MYfNJdwtmuEvaw2VgTjw3aQavCsLBlynTuCga4zAzaaeCDeJyphoUdyQQX+9r5ZzDAYpuNz7g9zMqzvskkpjWPhlP7gpOcw3s/n1NSwg3+Lt6Px/mdv5uvjfP78ZVYNGvIbJrFQqVhcJmnjKOzdO8bTM+et1tr2hIJqvL8jf1Au4N6w6Ax7b22l83GT8sqsO6qVyAWQoy7knM+Q9lFF9Dy6c+iQ0HKL/tGsUsSQgghxOQ37KCZUqqc1LFgTd/PEatzT7Fr2PV+kRC7LPdHDi12CWIXUfHBWg4HdCmozm7IfVHFofm7qVyymOb/vj6iyZOGgY72XdfPWV7KHvsuwvvcy6MoanJJVFfy7ktvF7sMIYQQQohJ6d4vfoejf/x1ymZMYeZhy4pdjhBCjB9FYc6I21UVd929kmO4r4DL8OYY3pZj+ESXGWIa6ZUCB7MxYzn5fLGQuvrIFzEhRN6UYTDvuEN56/Z7x2T+h1DJYkr5VVpHMisKW57BJR+xnF3LABqIECBOSZ6Hwb3YuJQ5+ElwAxtzhszGy3BDZlYU8SwRuMOozDJ2HwcGDuxcwKxhLa8QnqSVV+kkaPalmoKDBZRQipUWs3taFwkUiqk42EGE597cjg8PqYRSgI9TzyaCfIQqPFj4CesBeDnLVzYLipk4OYOpGChOpo6VbOk3jg1FBRYONwNX+VDJRL81b8yeQ3OohLYH3uoZI+95jbcGYmwkggHsi5uVNHOXue6yxRc+JMp5bOIfOZv/5ueeiiiPN+0AUuGfcsNgdSz1mr8Tj/OOGc74comHJ8NhNiTiLLHZOSIjlDHPauP75V72sdu42Ne/Q903Ots5xunEPUjYp5CUUtxUUcW9ZvjxuWiYS81Lgt7m7+bFaIQry8qZbx14YdCx0NPRbGXAz8qAn/1sdv5VVdPbESquNV/1tdOcTLLAauWa8gqUUuxj7wtZ/j0Y6A2a+ZIJPhikM1MYzb/CfR0gX4xG+XF338FxJ1Ce47VwKEVMp95Fv/N3cUF6h6cCJnuzhXK6tOawQTqP5fIpt4djHS7+GvTz92CAlmSSm/zd3Ozv7i251hg6BLTCXcKeNhvHt6ZCfO/EYzxVU8cRLU0APBON8Ew0woPhEM/V1A8IC05m62IxjmlNrYcKZbC/PUsAeBCVhoUD7XZeikb5Tzg47kGzsB648d5eWc0RI9jeALTW/br/DTeKnv7u/V5pOV8u8exS25MQovgC/7wT2/x5eK/6AVgMDI+n2CUJISYbOR43OrLuxOTTzsg6iGUeR9PAqlFXk6plLI4DjgsJmoldhm3BfCx1tSSamoceWYgCKNjvc2+8gmveXEIbtgw9bmYNhsFeRyzFBpR0+LC9vwElIbN+mhfOI/70a8UuQwghhBBiUtr035d44YY/cea/bip2KUIIIUS+VjGwGxTAygIuI9eZ374CLmNcKKWydXrzjcGiMrt+eZVSXq111mVJXcOrSwghMs0/4fAxC5pBKtx1NlN5kGa6iHMWU/Oe9pUsu80llPE6Xb33FYp38bOKFtqIsZRyPpbWMS2TQlG6kx42zwyZfZKp7MbEPXkzRpKnzY+pnpBcAxEaMjqMxcxT6a39Aoh9B972oYx96AsPLMbDO/j73T+CKupwkERjpE07FScujH6hvhiabhI4hnGGVSBs4Fh6CJFQgvZ1jQReaMp72vGm0dxIM83E+AxVvEEQgDqsfCYt9AmQyDYDoC3nI/mJkmSlb3NquYbBdd4KltjsXObr4J5wsN+4S2x2fh9IvZ4vRyN8pq2FlmQSm4LN8TidWuNSiqmGBRcQSps2AhzT2sQvyitoSCT4qMuNcxxCFdeWV3BFZwcvR6Pc1N3F9f6+fVJnZ5K7q2rHvAaAZXY71kBfuOS1WBSfTlKpUuGnn3d38UI0QolS3FpR1S+Q973S8t6Q2JpYlD1tdv5foC98e4zDiQKeiITRQJUyaNO5Yy/zrVaerKnP+fhtFVWc3Z7qcPnT7i4+4XRTa3bv6tmzjdUr15QceefIGouFy0rL+ZqnjEfDIf4WDPB8tG8fdoQje2fNTLvb+geo5lhtfKe0nPvDQfa02rkjFGBbIsGmRJw54xRULLa/Bfx8p8vXe99tKCwjeP/+uKyC41ubWB+P824sOmBdj6UjHE7+WlHNhkQsFW52uqjJswNZNj9JC26WKZV1Xosatw8YBhDKCL19VkJmQohiiEbx/fBqqv/2V1xHHVXsaoQQQggx+fnIfRx2MMdmGZbr4qR5MbukgQTNhJj4lFI4ly0l8OAjxS5FiGFROklZjYPQhhFMG49TK8GyQW39YHOxSxBCCCGEmHRcVV5CbT4AKubPLG4xQgghxDBorX1Kqf2AW4HlpA5I/ExrfV0BF5PZ0arHznigIdtzyQw5FYIvy7Bl5L6aoNQ10GB1CSFEPzMP22/Ml7EID4uGGYjSaNbQ3Xt/OVUcRhUAdTh4ng6OpJJ7aGRdWmey1XRyOJVUMPiJ+ucxg9+zddjdQiYCNxYuz6PbVJAE99NEJzFOoY4pjKzDykhZUdgxiJLky8zEjYUNBFhPkAhJarFTj4Pdzc5i2oybDHVa/JlMJYk2L2Tef2wjy9SXMIeb2YQ/LTwVQvMCAebnuU62Pvl2XuMVUxJN1AzRPUgqrPAKfaGuBgZ2qnKhCGVpJzWP0QU1bCjiZughpDX72OxYleLGikpupJJljTtoNkNLF/n6vh7FgaejkQHzC2nNhkT2TlvbEwnOMgNM3+nycUN5BUc7nbjU2HU5O87h5ArzdnrIDODlaJT3YjF2s419WOhYp4u366YSQbNvU0O/xx4Ph7glkNqHXldeMaDL2pdKPL1Bs3diMfa02Skx+t4/n3OXcGRGdzmtNY3JBPWGhS6tubKzgzeiUT7jLuGiITpJHepw8t3SMn7SnVpfy1oaqTQMDrM7ONZhLmcMMzEJrUcUYuphU4qTXW5OdrnZEo+zI5Gg2mLk3b2uKdG3/6kzA38XeEq5wFPKTd1929CaWGyXCJp9w9fO3aH+odPHqnOHxAezyGZjntXKunicrYkEu4/z6jvS6eTIAny+RrXmbbPrI8Ca+mm9t6dY+/ZnmYGyTCVK8XB13biEboUQopfFglHqIelLfbewzct27SUhhBBCiIJrB+YCTw5zujMY2F99tMfUzgS01vqNUc6naCRoJnYZ3fc+SPi114tdhhAj895ayg9cRudLbxW7kknHWeahu7G12GUIIYQQQkwqi1ecgKeumqeuvnlcTlAUQgghCklrvZHsV64rlP1zLHdnDAGN5KqAhTLYGSpS10ByRo8QIi9Rf4DHL7++2GVkFUfTmRaMWUUbh1KJQnEQFSyhnJ+xPuu0HobuJjIVFz9gIR/g5+/sKFjdY20qDj6ZpStcIxGCJNhKiE2EcGH06/p1K1v4FFNZOI4d0JKAwwya+YlTh4N9KWdfygedTgFbCdFJnMV4sobHsg3LxYmFk6jjnxmvs5uxCyKNtw7ifJUtNBHnk4N8BVHATOxcw3SqsRIlyb10sJK2fuP9hlmjqic9wFlqGAPeka/WT2VWw7YsEbeRsQNRIKg1F/rasZMKNr0di+JSih+XeTkqIzQ1GlUWC1eVlXNVV2fWx/8Q6OZ67/h8FSwxDNxpwZPDmhuB1LoA+ILbwyku94DpjLQQSrUZfGpJC0Ptax/YqUspxRRL6rSjcqW4paJqWLWe7ynjuUiE/5lhwvZkkvvCIe4Lp/rUrY9nDxMOR2eO7mVzGrfzi/IKTnW5sY0ygDPTamWmdXinX1WndZP7Tpm39/azkXC/sOJS+/h14yoWXzI5IGS2Zcr0Ec+vMZFgnbnt1Bkj7yZWDG9GozwbDfNUJMKLaSHbzE+nSsPKPVU1PB0J55zXL/2pYGlMa2YPc/sUQohR05r6555hx5JlWGprsUwf+X5dCCGEEGIYVpM6xvv7fCdQSi0hdQwt/WepjVrrrhyT5Ot8YOUo51FU8pek2GX473uQRGNTscsQYsScndvpstvQ0VixS5lU3GXjdwBVCCGEEGJXMeeoA3np17ez16dPYdEpRxe7HCGEEGKiWZ5lWEFDZkqp5cAKc1mVgNd8yEeqc9oq4FYzVDca2Vqn+EY5z2yydf3yDjK+1DWQdwyWI4SYhDq3NLD2nw8Vu4ysVjMwwPH/2IZC4cKCNUfQ6CvMxjaMANFCPJxGHS/SQSNRDFJnGRQqAFNIX2IG0+kLy3yAnxfooIMYvizdqjL9nR2cz8xx62z2KC10E8eGooaBoZVMPes8juZVOlmMh0YiTC1Avbvj4QymsNGrcfq6OZ5yljEwfLOzep8wTeY28I+MrwZ1WHEBVgy+xxSmma9FlCR/oIX7Mt5r9zMPyyhbSynAbRgEk0mOdjiJwYCw2eYp0zm1tYnXY6ljoSc4nFiV4gEzdDSYBVYrX/eUcaDdwdpYlEU2G5vicb7h62BHMkEU+G9aIONzHW08Vl1X0C5jXywp5QtuD0GtKTFDRK9GI3yirYV7QkGuKC2n2jJ+oZfdrTbejcfwp4XODrc7+G5Z9mCn1n0dBHte7ZOdbm4KpAKqBzY18P6UaVmnHY2/VtVwUksTb8fH5hh45klR0y0WtpkBum90dvBuPMb304Je48WiFBeXlHJzoJsnwyE+7nJzVzDAZZ0dvePcUF7BNMvkP63rx12+3tvnl3j47ihfj5+kzW+fnSio92E8xiltzVkfy7bn2M/uYL8sAdAefwz46dSaaM4xhBBi7DgOPZTIiy+B1lSt/C1qHL8DCSGEEGKXtgr45zCnOT/ttiL1k+StoylCKfVlYAnwpdHMp9gm/y8SQpgqL/86kbXvEtsw2nMnhCiSxgYqDz2Etv++WuxKJpXqEiebi12EEEIIIcQkUr/v7rx/35M0vfU+Z9/322KXI4QQQkwoSqmlZA/83FWg+V8OXGveXQXcDWygL3g0FzgLuBy4XCm1Gviy1nr1CBfpHXm1o5YttNXDO15FZLEz1iWEEL1qFs/nyB99jaeu/g06rZPNRBBkYD3r6Qug2LMEYVwYtBChgTCLKc0ZRsu0L+VYMbibBrL3whmaBbJUPLSesxnycRcNXGo2rewmnlcntsV4mIqTVbQCqc5mV7FwBJUOzyv4eNnMV3+cesryOFWhZz1YUdRgZzZudAEjf3tSytKwg0OnLSC6fee9YGkSzR20s44IUZLYUTxHYMB4FuAWZjI3Laj3DiGmkMTA4Its6g2npWshwYw8ugIOxkCxqKyC131t3B4M4FYqa5jk3uo6Lvd18I9QAJdhcKO3kl9ozdORMNWGgVMpno9EWGSzEdKaHYkEhzsczLVYUWZXqlpLKnw51WLlxboprIvF+H6XjyQarzJ4xAycxcYgPqqUoiStO9Z+Njv72my8EYvx16Cfb5QO3r2vkHXcX13L1kQcA1AoLKRCVipH966e4RpoNbuA7W634wAiQAhNQzzOlDHojPRgTV3v7S3xOIe1NBZs3iWGQZ1h0GQ+p3uravlMeyvvmsG2V9K6Ro23Qx0Obg50c284xL6Bbv6d1tVrT6uN07N0nptswlpzZ9rzHm3I7E8BP/ea4dRvl5aNal7j7fruvovle1D40/ZR3/AM/7l0pYVMQzqJS02erp1CiAnO4cC+9150XP5tSi88H8e++xa7IiGEEELsIrTWq5RSFUqpc7XWf8hzsjMZ+HPs3SOtweyQ9jtgpdb6jZHOZyKQoJnYZTgWLWTWs48TeOJ/tP3oZ0Q/WF/skoQYNsu7r2OrrSLW3FbsUiaN0s1bi12CEEIIIcSksuenTmbV5ddz2JXn46r0FrscIYQQYqI5K8swn9Z65WhmanYw6wmrnQ/cqbX25Rj9OnP8W4GlwGtKqeu01leMYNGVI5imUAZbttQ1sZYthNjJHPH9r7D/hWfz6q3/5LlrbyPaPTCwUgxHUsV0XKwnwEtZGkJGs4RGFuDmThoAeJAmDqaSI6nKa3l74GEDZbxNN/FhBlKcKL7JXP5DE2vwD2va4SzJT5wESSwYtKT1LDkIL3tQyjScREjixCCGJonGiYUAid6gGaRCaqVjeOrANkI8TKpLyzFUs5jSYU2vUBw2Rh9l0XCElim1lO+kQTON5nK28SbZu36VoTidSt4gwOuEOZ8tXEotNdi4k3beJsQcHPyWWVRgGRA0M0gF2QrhMEclr5M6xjlrkC5Nb8RS2/KhZqcep1Ic5+zr3LfYNrwORQtsNv5RVQPAXcFAb9Cszhj7zhpKKb5UUsrFvnZuDwa4yFOGM0fQq9DsSjHPOryObfMsVjYk4nynswMNHGJ3cLTDycPmOjujvYXnaqeMQbV9Zo5BkO2X3ko+1Z7a51UbBg9X1/KRlka2JBLMKGLHsJ71+2QkzNVd/TsJHupwYIzTtlJMCxu3994+0jF0p8vB3BsK8kOzm9k3PGVcNIJwVjFtSaT2vytcbn5c5mVRU194/ALP8D43AU5zurknnArxPROJ9NuPCiHEWCo543TCTzyBjscpu/CCYpcjhBBCiF3PbaSOhd6pte4ebESl1G9JXSRS03f9r7u11ptGsmCl1DHA48AGrfWFI5nHRCKXKxG7FGW14jl+OTP/9whV3/82yjm6H6qEGG8qHKJi8YxilzGpWLY1UDVvZrHLEEIIIYSYNCJdqRPoDvjqZ4pciRBCFI9SoAz5N+J/k/tcuvOyDPvZaGaolDqP1EGLVcAcrfXKQUJmQOqKfsB+QE8ns8uVUo+PYPHeEUwzEr5hLnuwxwrJN8xlD/ZYIfmKuGwhxCThrq7kI9+9kK+tf5wl555RkHl+gJ9thIYdWgmT4HFaeIVOFlDCQXns0s5hGofg5a20kFcEzf9oYyPBQabso1CcSj3fYwGlw+zmFEZzM1s4iTquYiGXMZdahheOyUcC+D/W8xRtrDc7WFVi4wRqmYELA4ULCwqFHQOn+TzuSut8djw1YxoyC5DgTrMz3O54OIyKvKft6V421l8P17z6Ns799xrjpYyN+/D1hszmZ9nGutDsIEZnWm++X9LMd9jOG4SYho0WYtxKM6fQ123LCqxkFn9mNrMozDH1mU2p916ZUnymxJNzvLZkqhdglVHY01l8ySRXmyGUfW02ai1jHzQD+KjTxVTDQlsyyb2h/PY/xXJ1uRdFqoPZNzs7OKSlkUMcfR3wtiYS+Me426XWhe805077I7NTa4Ja02A+j7PcJQVfXr6UUvy4zMsMiwW3Uuxns3Ow3cEpThfnlgw/WLSz+2tlzYimCyaTLGvawVd9qUbeX3R7uGQEwaxiWx9PBc2ej0b4hb+r32OWEfxQ0hMyg8HDvUIIUWiWaVOJvfc+nk+djVE+Pt1chRC7LjkeJ8fjhMjiGqCC1IU2Z+UaSSn1LVIX78z8IWLYF+ZUSpWZobXHgNeAZcOdx0RU2F/mhNhJKJuNyq9dyMynHsN50AHFLkeI4Xn9ZdyL5xW7ikll9vTaYpcghBBCCDFp1O21kG/seIbSKfIdSwghhEhnBsK8GYN9WuvrRjHb80l1JrtCa71iqIBZOnPcY+gLJS0fQdisMsuwtmHOY6SyLXuwx6QuIYQYgZLaKj72+5/wxef/Qe2eC0c1rwYivEkXxjBjQyGSLMLDI2ZHrArsfJZpOMz51GNnKg6mmGEYJwa3s53ns+Zu4Zkcu14/cTqIZX3MOoKok48YT5M66b0UKxcxm6tYyHeZx7FUU17AcNd/aeN5OgBYxuAnc2o0m8xg0lFUcfAwgl8j8T9a6SJOJTZOpQ41jHXZc5bHeJz39Ma2Rgy3c+gRJ5jn6Os4uD6tq1267URpyLFtL8DBBdTwEJ38Ie29sRdu5uBgSgEDknNJrd8urelI5g4rnex0A3CTv7tgoSN/Msnn2lvp0poqw+DOqvH73cqqFF8wg3Xf6uwYkyBVoXzE4eTx6joOsfeFC7/f5cOVdvZhQzKZbdKCuSctjPeXivw6UA5lYVpnt72bdnBQc987IlTk12O61cpztVN4r34a91TX8s+qGn5TUUX9OAUhi8lXoG3p+10+ms15lSjFd8vKUTvhGbNXlpZToQy2JxLcGugLyv/OO/w/5TL3M4tsw+tuKIQQoxHftIkpLzxL+ZXDPkdbCCGEEGLUtNYfAhcA84GNSqmfKqWONsNgs5VSn1BKvUIqkNajp5vZBcPpZmbO77dAB30XG31Va905yGQ7DQmaiV2afe5spt39NzwfO6nYpQiRN6Wg1DW2V4rb1ZSteY+yqbUYNrmSlxBCCCHEaMw+6kDmn/gRCZkJIYQotHlKqT2G+W8ifhhlO7tixSjnORe4bqRhNTNsll7XcqXUraOsSQghxCQ04+AlfPH5O1jw0SNGPI8jqOIk6oY9XTdx7qeJJHAVH5BEMwMXdvNQ95eZxZlMpYEIAGEGP3E9lqWj2joC/JyN3MiHPErLgMfPYxbHUT3s2l9j4DkFNiwcSiVH55jf9FF2j6odYvoP0oJJezG2HV80und5x1PT21FtImpraCG+bM9ilzFsr+fRoa+DBK4scb0qDL7NVOqxE0PTTt/xxxIUjTnCaSNVhoV6IxVc26+pgU+2tdCcpTvW50tSHaZWx6K8Fy9MDV/ztfN6LBXE+4qnFOc4h1BWuN29t1+JZQ8EThQLbTb+UVXDJ119NaeHserGMAC1Jhbl650dvfenFqgLk0spatM65HVpjSLVNW8vCeCMu6ciYWY2bGPvpr7umn8aYajw+50d3JUWTgxozTc7O0iMUYAwpjXf7exgeUsjfwh0E9KFC15+rsTDS3VTuLa8gsq0ffaJTtew56WUosTcz52Z9l4WQoixZpk6Fc9nP4t11iyUVc7BEkIIIURxaK1XAt8mFSC7AnicVBhsA3AXsJS+cFmP67TWtw02XzOs9gml1G+VUuvM+Z1nzqvnD7nzlFIfKKWOKuRzKgYJmoldnuFwUL/yJpzLlhS7FCHyt+EDvIfKNlsoRmcX+zc3ckS5E1eVt9jlCCGEEELslOylJex++vE4Sj3FLkUIIcTkcy+wZpj/LipKpTkopS4nFQpLt1JrvWqEs2w3/3+31npUlwc2D7ZsTBt0nlJq+WjmKYQQYnJylHr45L23MO2AvcdtmQmS/JGttKR1avqAADYMLmMeV7EQC4p1+AeZS3/bCQ8Y9pjZLQ3gBTroIt7vcRcWDqES5zB7a0VJ4ssR1tmbUk6ilvqMYNg2MzA3UrMY/IT0nq5tXmxUFrBbVTatxOgkjgXFHIZ/ontfR7PxCQW99OxqHPNmjsuyCiGRJTQJ4ADKMShBUY4iTpL2LAHMNpJ8io18k60DttJnCXAOHxa85s8lK/FgEAeej0a4NzQwKDfHaqPKDAUFChQWWRXpe99/0T1+v12Ftebn3Z0c2dzUO2xniTXlCuONZd+/j7Y297u/sEAnqFuU4qmaeh6tru3990h1LU/X1BcszCby87eAn3PaWwcMP2YEYao7An7+EgwMGH5PKMhTkYGf9aO1NR7noOYGbg8G+CAe5+quTg5tbuR3/m4aEwk+iMV4OxYlOYr9llMpznaX8GB137VzTmlrJjiC7m+RCdw9UQgxSVmtOPZfhn3ffYpdiRBCCCEE5kU6zwS66AuCpf/D/H8ncL7W+spc81JKfdPsgtZBKqh2Hqnjvj3z0fQPrc0HViml/qGUKivYkxpnEjQTAlAWC7W/vA7kalViJ+JoWI9RMvwfXEVuhq+LxXvOK3YZQgghhBA7pWh3gGj3wAP7QgghxK5OKTUXuDZj8Gqt9fkjnafWejWwQms92o5oPTK7mN2V53TeAi1/KG3DXPZgjxXSZKlLCCHyZlitnPaXa7A6R9d1K1/P0DFg2NyMwFICnXW8dOkxglOpp50ov2QDt7KZAHG66N9V6RdsJJ4lxFMzgm5jv+JDbmAjbfTvYqRQ7I+XC5jFt5jHjALFN2yDnALgJ84qUif4zxkikDYaSTQNhHnWzMbPSutANxwh83V5glbuoynra1JIyWSSLa7x2bYLQUPWTmURoJMkATSdaJoY2DWsRwvxQR4dTi2a9YT5E618jS3cnvXrCCynjJXM6r3/s+5OvtTeyjVdnf3CGfvZUiHIl6KjC15m2sNqwxiHbmYxrXkmEuaijjZ+7e/Gp5OUKcU15V6W2HeObeyHZV4uLy1jodXKNKOvi1n3GIVX2pP9t8QtU6ajCvhalRgGu9vs/f6VGnLK1Hi7usvX7/73SsvZMmX6iOb1nbR53V5RxSWevi6dF/ras0wxOqtjUVoyAl+tySQ/7e7kgOYGlrc2cVJrM3eERv8b+bS0c5feisXYLa37W756IvP/yhLoFUKIMRGPk2hqQsnnqxBCCCEmCK313VrrCmAFcDepC2/6gNXm/fO11pVDdTIDjgPmkQqlpf/zZRmWPnyZ+W+nJJfmEcLk2G0hlV//Cu3X/6rYpQiRn/Y2Kg88hNYnXy12JZNK2dvvFbsEIYQQQoidkq3EzX7nn1XsMoQQQoiJKDPEtRE4ZrQz1VrfPdp5pFlJ/zCcVyl1uXm1v4mgqtgF5CB1CSF2SdW7zeOYay7j0a//dMyW0UkMheJlfL3DFGBD8R5+FuHBYQaXFAzoQJbpbKZRiwM7BlYUP2UdCaCTBNf3a+zZJ04SK33hijAJtmbphpaPbuL8lzbOYErWx0uwcBr13MSmEc2/HAudJNKqHSiB5udpz3U+JSNaVi4tRHiUFpxY2EiQYFp8aeEIlxUw59FIhEYi7EXpiDqjDcf6NeuYcehSos+tHtPlFIIVxb+ZxxN083Oaco5nAa5iKrOxc06WbWxfXBxDKRHgDtpoyzN6FkNzLz5upQUHikhaEPBdwuyHm8VZAo3VaaepxIHHImEei4S5JdDNO3VT8RgGhzgcPBYJ83QkwlcK2IBstB3SwlrzSDjE69Eo86xWygwDK2BVinkWKwtsNu4KBri6y0eXuSwrcGVpOeeUeHJ2CZuILEpxsaeMiz1lfKezg7+ZnaPsY/Qc/pHWmer5mvoxWYYovjPdJdweDFCmFGvqp414PveFAr17qpOdLo4w/93o7wYgpDVa64KGFU8couualdQ+7eVIlMPtcUJa41CK2SPszHdXVQ0r2lp67w/n+ei0fV0C6E4mJVgphBgXZZd8rdglCCGEEEIMoLX+F/CvUUx/XAHL2WlI0EyINBWXXETXnf8ivnlrsUsRIi+Wt1/FMb2eyLbGYpcyaQT2WATPTPyDh0IIIYQQE80+nzsNV0V5scsQQggxOZ0KbBjmNC1DjzL2lFJnAMszBh+rtfYVoZyctNY+pdRqYGna4CuBiRI0y8ZX7AJy8BW7gBx8xS5ACDG5HPjVc1j7j4fY9uIbBZ1vEs0NbOwNGLnTolMaiKL5N43YUHyXBQAYKObg5kNyd+yoxE6peWj8dTqHjNFUY8eZEdsKj7Lv01DTV2FnT0pZQ/ew593zjBJANzFKsQ0Y5zn6urscSgV7UDpgnNH4DZv73behmI2b+bjZj8L8XvAXtnEgXpZTPWjnttF6Ze169qsoI97RNWbLKBQrBsdTznycbCLCBsLcZX7sP8ICvsSHbCPOn2mjO0sgswor1zINw1yff6C53+MJNJa0rmmtxPkn7TyHn5a0+UXQOFAsw81zpAJDl7GVh1k4YJkKxTVM45kKjS3UwX/Cod7HFjft4CN2B0+bncyCOjlg+tHYlIizPh5jvnXge2Qoq8Ihvt/lY3si9X5T0K/HngU4y13C39MCU4fZHVxeWs6+dvvoCi+yd2Kx3tueMQqa/SHg77093WrlpWiEqzt9XF3uZf+dpAucGFqVGXY6zTW60PDD4VTw2wBuLq/oHX5hSSm/DaQ+R1+ORjnQUdht5+flFXyzc2AX1c+7PSywWvlul497wkHuCfd9J/lbZTUfcQy/a+mBGdv9cEJzSikOtzt4xtyXXtHZwS0Vcj0SIcTYsu2xB46PHF7sMoQQQgghRIHI5UqESGM4HJSdflqxyxAif7Eo3jnVxa5iUmkKRVAWC9OX7F7sUoQQQgghdioHfu2cYpcghBBi8tqgtV47zH/NQ892bCml5gK3ZQw+VmudvW1K8b2acd9rBuWEEEKIAZRhsPTLKwo+3y7iBNICWcEc4ayYGe/Q5n+foL63w1mm06ijIi145c4Yb2887EH/lkmtRGkl0m/Yw6PMsa8nSCMRNLk7Kp1CHc5RHsL/b1qgLN2TtPXePpaaUS0jHwfi5VNM5UAqsI7wOfWsKRsKmxl2egkfv2EzyUHW42j5fV0EFs8fs/mPhXk4OIYyjjdDfaUYdJCg1QyDbSBCc5b3UxtxgvSFuUIZjwdIECDBf+nix+zgbDbyH3z9QmazsHMJtdzNPK5iGp81m6vGgY4c3Qb3o4RbDj2UX1dUsemYE/s91hMyA9jTVviA1vKWJjbFB++CmOnNaJQvdrSxPZGgVCnmW6wcandwqN3BgXY7Bqmg598zunL9vapmpw+ZAXSlBf4eCY+ss+Ngwlr3dpv7mqeU1dEIK9paWBOPcYVvYKhH7LwKtedeZQZUlzucGGmdus4r6fs8v8SX/fNwJJ4Mh9izcUfWkBnAC9EwB9gduLKEwV6ORrJMMbQFDdt6b3/cOfxg3v+rquEnZV4AHgiHeDpS+PeuEEKkK73ogoJ2khRCCCGEEMUlQTMhMtgXS7hE7Fz0W6splVBUwUyxW5l/4N4seP8D6hfPK3Y5QgghhBA7hfknHE71ornFLkMIISYOQ6Hk34j/YUyaExIeB7xp94/VWq8qUi35eC3LsLOGmMaXZdhEuEy6L8swqUsIIQqsfsnigs+zHGu/7km5XMAsAG5lCz9hPR8SpMrsWJZpKyHiJImjCRBnBn0na1uBTzCVFUzl4H4f23Azm/mAVIedEAneJ0C+ch2E/x2buYMdOcNmDgz2HGWnsbfJ3oWrmr6wy+YBcaLRu5BZ/ZbxLB105ggZDZcV1duRDsBHjE1j8BzSvfrcapx7DezGNdG5zK0vQJKvsZlcsYKefn0LcODJ8d4BuIDNrGAjP6WRp/D3e+xapvEIC/g9szkZb29I8iz6ugt9k23k0r7djzFvPuuf2sSGE1dwmN1BpRkYqVaKvaw2/h4M8HYsOsSzHto8S99zTAKPhIe3/Xyvqy9c8mRNPU/WpkJkd1TVcFdVLW/VTWWJzY4TxTKbnddqpzDdmnu97mzS19/8Aj8vfzLJ2W0tBM2gWUxrTm+bEA2qxRgazV/94WSyNwqeHiwDqLL0dSPdkRxdJ9J0nVoTTvvsrjMM5lutzDSXd7DdwSKbjTfrpvJ+/VQ210/j+6Wp4O/GYQZbe6TH037prcg53mDOSVs/twf8g4wphBCjY5k+HfcpJxe7DCHErmgCHNPamf9NouNxQogxMHl+2RKiQOJbtxa7BCGGRSlwJzrpNgxIJoeeQAyq5OXXcevUep1VUUpjsQsSQgghhNgJHHjJZ4tdghBCCDGhKKXuAtJT2BM9ZAYDO5oBLB/3KvJXuMvTF5bUJYTYZXRsLPwxNYXiQmZxC5vIdcTDhqIeB9sJ02iehv1f2ugglnX81+jitbTw1aeYymI8vIOfj1LbOzwzfFWBlftp4lJKMIY4Jd6JQQLd22ktCZRioTutg1Q1VlqJ8wEBmolQhzPrvDYRHHRZQ4nlCLEdSzV3sAOARsLMwjWq5WSqw8HFzOZ+mniNTgDeppvDqRzxPHvWeogkoYwtYh0B5jL8Di/D8V4gxByrFT3CkEAx1GLjcDw8g5+WHB0Bgd5H1hHhp+zgCqZgQfE3ZvMZNvWO1zOPGdg4FA+H4GERzkHfE3YMFuBgHRG2EGUtIfbIsr21vr6BVjSg2PzU+xzsLsEeCvJ0JEyr1rTGU+/pk1qbua68glNdLrYnEtwVDLI2FmWRzca3Sstx5tE5477qWh4Jh/hhlw+/1vwh0E1rWgglfQ6q9//KXFeaN2OpWj7tLqEuLcjSo8wwuLe6dsDwHveGgqyJRfm6p4wSY+e7HnSl0fecz/e18WRNfcHm/WQkzGtmmHBvq43fZoRhrNIZZVLp+YQazatqJxWWTQBPRMIc4Mj+eVpewG3nY04Xf7TZeDMW4wiHg79WVPd27QnpJC6Vel+n9kep4bXmvuLDEX6GXOYp4wZ/6vuLTyepVAP3PUMJ6WTvujrF5aYzmeTKzg4u9ZSxwGYbanIhhMhb6XlfRk2ikL0QQgghxGgppZKkfiaer7XeVORyRkS+3QmRwbl0SbFLEGL4tmyi8vCDaX8q24WnxXD1/ObsaJXzb4QQQgghhlK1aA7zjjus2GUIIYQQE4ZS6nLgjLRBO0PIDLJ32/IqpeZqrTfmmGa8fjzxZhnmG2R8qWsg3zgtWwixC5l+0L6pH9R19mDTSFVj5wJmcQubsz7eE5B6My081pkjZJbNdsKcydR+wxoJs6Nf7xDoJE4SeAUfB1LBNJxsz9EfKpwlFpceMrOjuJi5XMcGgiT4LVsowcJJ1LI4o4OZPWc/tNEpp++E8v/RxhLKx2RZJ1DDRoJ0EOMJWllC2aAdswbjxqCLBGVY6crojvYCHeyBh3qcWEcVWcht+8atzDtifxJPvTIm8x8r32UKN9LMw2bgbyjtJIiicaGoyHitHChuYRYz07rV5eN6pnMaG8x6tvMf5ucYM/XaNQS7uT6Y+6vS5Z0dXN7Z0W/Y09EI78Ri/LmyGscQgZJSw2CFu4S1sRh/DPppSiZZOczuPhZgqjH8oMfvA938qCv1WjwXifBAdS3GThae+m5ZOXeEUl0d18fj3BUMsMJdUpB5/y+S2q96gA/MQM73S8s53OHkuNYm3ovHuDMY4HSXG8tOtt7EQH3fGEb+WhqGQbVh0JRM8nqs/+d/eteuTq1Jal2Q95tFKX7preTEliaeikT4WzDQ2y3MpQzejEb5XyTMxnicDYkY2xIJ2s2LBG9PjKyz2rklnt6g2bKmBj6onzbs4KU/qXu/jfwnFORiX2o/+0A4xL+ralhmd4yoNiGESGd4yyk5+6xilyGEEEIIMRHt1D9k7HyXShJijDkPXIaltqbYZQgxbLaNa7FWlBe7jEnF0tJW7BKEEEIIISa8ZRd8ErUTXolZCCGEGAtKqeXAtWmDdpaQGeQOQc3NMRyKG14aLLTlG68istgZ6xJCiBEpm1bHnKMOHJN51+LgC8zAmXE4uwwrn2E6AKG0IFflMCJT9VkCMy/QF2CZi4sZOAdEx3bDk+cSBoqiuYZ1/WoOkGA9gQHjfpEZzBxFt7Fcka56HBxCBcCA7mCFZMPgC+ZrBPArPmR1noGnbPMC+AT11DPwZPjfs5XrzTDTWHnxpbewTy9c96Z0LcR4hu6Cz9eCyhoyy3Zmi4NUl0CXua6jGdtGBD3skBlACX2BrMAQ25tG82RacLTHVWXlvFM3lVlZOohNN4c9F43wajQy4PFcvl5axqWeMi4o8XBBiYfzM/6dZ/77svnvS+a/T7jcfKnEw1nDDFfdHQz0hswA1sRj/KDLhy5wQHeslRkGj6Z1bLssI/Q3Gk+EU0Ezp2EQRrOb1cbnSjzMsVqZbUnt0b7Z2cHxrU08Gg7lve5aEwl+0uXjR10+ojvZ+p7Mel6K0Z5pt9ia2i+9GI3wohlWbE4k+G6Xr994b8fyD6IPZb7VxpVlqfMxvtvl45FwiJBOEkgmOau9hRv8XdwTDvJWLNYbMptqWLjAM7LvD56039zjwJoRPJcaiwWv2W1tVaR/WP4TbS00jjAEJ4QQ6Uo+9SmMksIE0IUQQgghJgOlVPrJ/Dvt8TnpaCZEBmWx4Nh7T4Kr/lvsUoQYnu4uKvc9kOb/vV7sSiYNo6ub0il1dDe0FLsUIYQQQogJyWK3sfc5pxa7DCGEEGJCUEotBR5PG7QzhczQWvtU9qujDxY0y3ZwxFuQgobmG+QxqWsg3zgtRwixi5l24D58+OSLYzLvWbj4CrO5mU1ESDIbF59gSu/jU3DwthnSOQgvD9Cc13yfop3dKeu9n0DzZlrY5yiqqcbOajopw8pMXCTRTM0SdMrmHKZxO9sHDA8zMOjgTesy1sNqBrXuppG1IwghWQY5fX8vSnneDNVtIMDuGd3UCqUMG6dSx2O0ECLJfTQxDSd1ea7DHj1rbLBAQoQkLUSoGea88xUNR2israJyW2NB5/sOIX7ADmwo2klw6hh/JTiWUr5BDf9HI88T7B0eAV4lyIv4OQgPHqx8m3quYeTP90I2sz6jQ2AMjS3LK9lFgtNzhAUXWm14DINnaqdwRzDAFWnhpoeq69i7aQfAsEJEXsPg0tKyoUcsgCfCIb5l1vzlEg+LrTa+0dnBX4OpgOmPyrw7VWez3W39A4dhrXEWoP4OnQrktCaT1BoGf6mswm7O97GaOv4S8HOTv4sP4nG+3NHGfjY7XyzxMMNiJaST7EgkqLFYONzuoOfvGV8yyUdaGvGb24YBXOQpZUM8zjKbnRx/94hxkM9+PR8/KC/nvy2p4NSZ7a04gL9WVvcbp1QpZlkLe1rcZ90e7g4GWROPcV5HGxYgPap1RWkZ86w2ZlksTLFY8Y7yAm1Xl3n5oRmemz3C5/LFEg+/8A8M8wJ8rLWZl+umZH1MCCHyohSez51T7CqEEEIIISaawY6t7jTkkuNCZGGdKj+kiJ3UGy/jWjCr2FVMKrWzpha7BCGEEEKICWu3jx+Lu6qi2GUIIYQQRaeUmgs8kTZopwqZDcE7yGO+caqhMsuwwdqX+MaojkyTpS4hhBixshlj0+mpRylWLmIW5zOTzzGdsrTrqB5EBcdQzSnUDavbWCNR1qR1T2qkr8NHFTam4cSFhUOpZDMhfsmH/Ih13EkD03FSh31Ap7UeM3GSyBIoy0YBh2TdZYNCsYKRHa+MDLJ8d1oM7Z808NoIO43lYwnlfCPtnIp/sIMAI+2cotgNT86TGwYL1xXCu6vX4jxwn4LN73bauIStdJKglTh/opVknttNvm5I6yoHcBhurFi5kuzHvarT3lvH0D+IdR6bBnQ6y+UbbBkQMgO4JUcQ9N/k7oz1qfZWbvenwpZnu0u4qqyc5Q4nvyiv4Ofdfdvuvvbhd1wba69FI1zY0U4C+ITLzXdLyzndXcJ15RUo4K/BAN/u7CCxE3fa8icL3xnxB2Veplj6tkWnUpzvKeW52ilcXFKKE8VrsShf8bXzsbZmzmpv5dLODj7T3sqixh18tr2FH3X52LtpR2/IDGBlwM++TQ2c3tbCrMbtrIlFC167yE9v0GyUu+15Vhtnudy99yPAWe2tAOxhtfFodS0PVteNOuiVyaoUP/dWsNBqpc4w+n2qfanEw1c8ZZzgdLG7zV6QZf8mLSA20vm9lNH18Z26vs+BPWwDA+9CCDEczmOOxjpjRrHLEEIIIYSYaM4qdgGFIB3NhMgi0dhU7BKEGBGFpqzGTWhdsSuZPGZu3oL7iGX4Q1FisRjh7iCt6zcXuywhhBBCiAnhoEs/X+wShBBCiKJTSnlJdTLzmoPGLGRmBtqWAhu11qvHYBE+BgbLqgYZ/5Usw7KfMT863izDsnUH6yF1DTRYXUIIMWLd28f+mFo5NsqzdP4yUHix8hDNrKWbk6nlIZqZgYsaDF4lkHOed9PIe3RzNDXcxtbe4W3E+BHr+C7zsGFhe1oILUKSbeb9w6jg2SwBmS2EeZzWIZ+TBcWVzMc6RgGpZsLU4hwwvBwbJ1PL/Wbo5z387Ef5mNQAYMPgZGp5kGY6iPEHtnARs/N+3umdb46kiiMzvpZocww1xkEzgLe2NbLIakXH4yOeRwLNDTTxuBl0PIgSXiRAgCSrCbKMkkKVy964+SOz+SKbAPghTfwWB/NxUoeVJvqex1JczDe3l/cI8YeMbfhDonySDfybBYMu00+ct9PeM+keoJNLqBsw/IVB3qcA3+3uZLrFylEuF18sKaXKsPBVX9/XmuMdTioMy6DzGG9vRqN8vr2VMJqjHE6uL6/o7Vx2lrsEK3BZZwf/CAWJaLjBW4F1J+ywVW0Z2Xq/MxDAaaT2D+mBQYBD7dk7E5YbBpeXlfO5Eg+3Brp5NBwiSeqEp7ZkEr/WhNH8LxLhf5GBQcdMH21tZnXtlBE/BzFyhepoBnC9t5LvlXk5qLmBQFqwcG+bbUAHvkJabLOzqiYVtN+eiPNcJMLWRJxzSwrfJbR5FIHOFyMRnouGeS4jaLbY7AYJ8El34T53hBC7prKLv1LsEoQQQggh8qaUKiPVbayS1LG0Qh+j8wLzgPN6Bmits7eY3glI0EyIDPHGJkKvvFbsMoQYMb32TVwLFhJat6nYpUwKRksbtS1t1Jr3tYYPD9iHD19+u6h1CSGEEEIU29zlhzC9gFfzFkKIyUSp0V+de1e2E667J6C3Xcd+YxQAQyl1K2kHJpRSq7TWx47FsoZhY5Zh3jFYTrYDPYOtZ6lroDHZLoUQu7Z4JMq7/3qsaMvXaB6kmTBJNhJkGk5+wEIaifA7hr5g3BoCrMkRcrmXJg6lEh+xrI9nC5n1aGHwTjl7U8p+ePMKW51GPffTOOw+YD5i/YJm3cRJoCnHij2tL1gJYx+yWIaXKuz8P7bTToyVbOYgKpiLG2+WAGG6oQIJ4xEw69GyvYk9D9uP6LMjO44cJck1NPIMfgA+jpeLqOVmmrkXHw/TWdCgGcDGjM5i7xNmPk4+SQU30tI7fBNR7qSdM6nkZpqpynIaSfcQHdf+Siv/GEGu/ShKB9SZ6XO+tqx9YT/v9nBZadnAB4rouUiYL3W0EdCa/Wx2fuutxJbxB87p7hLsSnGJr517wkG0T/PrisGu7TAxvRWLsvcgYZ77QkG+6mtnmsXCTIuV011uHgyHeDIyMIxoACtcbiqH6NhUZ7HwgzIvPyjz9g7TWvP3UIAXIxFeiEbyDub8yt/Fj8q8vSFAMT76AsKFUW4YvFs/jftDAb7iS302PxAOcW2B5j+UaRYrZ7rH/tS7RdbhLePdWJQz21v6DVtms/NqWje/z7tLONYxMJQuhBD5ch51JI4D9i92GUKIXZwcjxsdWXdiV2CGy64EzqDveO6YL3acljOmJGgmRAZrfR1z33+DwIOP0HTpFSR9nUNPJMQEohSUTimVrmZjRCmYHgzwYbELEUIIIYQosmOuuazYJQghhBBFp5S6i1SHMRjbkNly0kJmpuVKqfO01isLuChvlmEbco2stV6tBh6JHJcOXVrrbKGtnsekroHLzlmXEEKMlNVh5yvvPsyO19bw0EVXs/3lt8Z1+S/gI0xfoOAZ2pmJCyeDBxXysQY/6wn2m382JVhwY+DFxjqCec07TIJZuPIad1/K2JcyPiTIX9iW1zQA6wiyhTCtxGglSgcxEmhcGITSntPSMexmlm4Obk6ilntpopko95HqhLeEMk6lPus0a+nOGfQrpAhJrCgseZz/8daGLexus6Jjw+tq5iPO99jO+0SwobiCeo4g1flmJnZznOHGCYe2FHfvbReKY0iFspozltVOgttpw4nBTOw8QfeAec0nd6BoMxFuHyJkdj3TBwz7Iy3cy/CPxR9gt/PHimrKhggljbcHQ0Eu8bUTBQ6xO/h9RRXuHDWe7HRxk9XGe/EYD4RDXJNM5hx3Irm6zMsPu3wAnNzazJYpA19XgLjWXGx2ntuWSLAtkeD5aPZA4SlOF1eXeUfcXUwpxafdHj7t9pDQmqcjYWZarZzS2oxf9w9IvlpTz9PRCN/o7OCvwQD3hUKc5/HwpZJSnHKG5bgYPLI6cqe4SvAlNd/t8tGtNZvicWYPM5w1EZ3kdPFgOMQRwwiEPR0J85n2/p0prcBVZeVUWSz4kqnPvYVWK1n+PhVCiPxYLHh/8L1iVyGEEEIIMSil1LeAa3rujuOi9Tgvb0xM/F+qhCgCpRSek09kyh9/C5PgxyexC3r7dRwzphS7iknL/t565kn3DiGEEELswva74JNM3W/PYpchhBBCFJVS6lpSV7+DMQyZmXJ1LhuPjmZDtabwZdwfi6sBZs4zn9CUb4h5FMJkqksIIUZs6n578qmHVlKzeP64Lned2Y2sHGtvuOz/sZ31BFhihnhGY6iQGUCABIdTxaezhGhyGclJ9nNw8xVm5T3+K3TyLB28h59WoiTMpaaHzGbhYjrj18lkCeWcTG2/Lmqv08VVfEBrli5w99DYezuax2sxEm/Rxc9Yz3Vs6O2yM5i2hhZswzw+pNH8nXbeN7t2/YRpvSEzgBfNDmf7pYXCCuWXaevQiwUDeI5u7sjy9S6M5iaaeZLuAWt7NnZ+y+ze+3GS/JkWjuUDTuADvjREB8HdcbJPRriykzh30EFwmK/tx5xO/lZZM+FCZn8L+LnIDJmd6HTxl8pqPDlq1Fpzg7+L9+KpIOV3y8p3ipAZwBdKPHmNZ80Ir8zPCJFdV1bB5aVlPF5dx28qqkYUMktk6VxmUYqjnC7mWW3EzJBZ+po9rKWRA+wOflVeAYBPJ7muu4s3Y4N3ohSFNxZn252Ttn1+pKWRuB6rWNv4eTAcAmBzPP+A853Bvm6t3y4t41JPGXdU1bC33cE0i5U9bHYW2WwSMhNCjErZ176KbdGiYpchhBBCCJGTUuq3pEJmyvynx/HfpCAJGiEG4T78UOp+eS1NX5Ur9Yudi9JJyubX07K1odilTFqzXn2d+v324AN/mJb3pb+ZEEIIIXYd3jnTOe76y4tdhhBCCFFUSqnzgJ4PxLEOmQ2mYAEipZR3hMt4FViedj/XfEYkR135rG+pq0+xtk8hxC7EXVXBZx77I3889Gw6N28fl2U2m8EdP/F+/ZlexUdkGMfzz2U6cTR/YWR1l5qH3E+jnv+kBXtyyRYniZDER4xa7Kgcp9/X4OAHLOAOtrPB7J7mxKASO61EBwTjFDAVJ3tQyixclGLhfQLMxIUXm7mk8T3JfBleOojxHB39ht/Mpt7bB1NBGVbiaa/h7DEIYQH823y9IiT5E9v4IjOGnObtjVvZzWpFD3HS/yN0cicdxNA0mp3Zvkg1S9KeS4AEb5AKERxKfgGe4UiP7tjQvEaQqxn82GG2vmpfobbf/RVsxG9ub/n0Yfs1MwcMK8WCFRhsLTpQA97L94XDvNzciFMpznC5udBTiq3IYYl7Q0G+Y3b5+pS7hJ+UebHkqElrzS/8Xfzan+oa94Oycs4tGX0wdjz9qryCr3em3sNhrbN2AoulBXwu8ZRSYRhc1ZXqXndvVQ1L7I5hL3elv4sb/N1EtO7d2x1hd3B7Vc2AcbXW9PRPm2pY+KqnlCu6fISBa7s7+U1FVe9zKFOKZbbcHftEYfVsGWP1rp1psbAlkdoz/TcS5lhnfh1EJ7pHI2ESWufct/RoSSS4zwyn1RkGF3nKxqM8IcQuxr7ffpRdekmxyxBCCCGEyEkpdTpwPn3Br56w2XiZFGGzneOySEIUUdknz6DyW18vdhlCDJux9nVs1RXFLmPSUgqcb65lr/Ub+Mhe89jziGWoEVxtTwghhBBiZ3Pqn36G3VNS7DKEEEKIolFKnQHcat4tSMhMKaWVUoMludtyDP/naJedJmtnrTye3+OZA5RShezSlW1eA5aZzzhSlxBCjK2yaXWc89gfcNdUjvmyQiQImBGXzKDLNJz9QkpD+QPbRhwyW0gJc8zg0L6UMTePQFRXWsUazZO0cg3r+S2buZUtrCPQ211rLd38lW08Rgs+ovyBrawze0AlgSBJKrHxbeazhP4nk3+B6XyZmRxCBdNwUoaN/fFShwMHxriHzADCJAaEzDK9QAeP0tJ7f29KsYxDrVvMwNdQWnc0Yzto8K5m/6WLG2hiK9HekNnnqeI0vLyAn7to53oaOY0NxNBMxcZMCh90OT8tILaFBD9gR853hhdFBQZzs9TxLbZxOus5n018l+29IbNsHqR/Z8N7mJd1PAPFXTke67EIJxdQjTPj9W9MJtiUiPNzfxcPhfN73cbStkRfXO5wuyNnECSZTPLp9lZuNENmJztc7LcTBpyW2PtqztUJLP2K1/8MBulM9m15e43gOS9o2MaPu7sIpYXMAFbnWP4lvr6ufcc5nb3BIxgYbpxvtQ0Z3hE7j2+WlvfePrejjZkN24bVDWwiy6fz3g/N0CvAoY7x61oqhNh1KI+Hqt/8GmWV/hZCCCGEmNBuo3/AbBWp4Nl+wDyttTEW/4AKYBkwKbqXSNBMiDxUfuvrlH/xs8UuQ4jhiUbx7j34ARoxekqB7d111D33MhWzphS7HCGEEEKIMXXgJZ9l9hEHFLsMIYQQomiUUkuBu8y7hQqZLTVvDtY5bGOW/68ocCe1ZVmG3Z3HdNnGGevg1J15TCd19cmnLiGEKIiqhXM45/E/4ZkysMNMoXQQ44ZBPja3EOJ06nvvDzc+UIUtr/EcGBxNdb9hp1LXe9ueY8kB4rSYvXa2E+Zp2nvDP41E+H9s5yY28QCN3EUDGwnyPB38ik1sJzxgfm/RzWO04MXGadSxP14OxEsVw+8YVEj30sjv2cIms/sawMa02/k4lmqOZ+y2pfTtZM4wuqat+XDboCfXvmmG1uZi5yqm8htm8mmquIod/IAdrKSVx+jqHf8wPAUP/vlJcAFbhhzve0zhHuZyFwu4k/ncymxuytLZrYskG4nyMoFB53dOxnk0HnJfpPGVIeb1KSo4nb7g6l44+SUzqE97j74UjWSbdFydX1LKqWbXpIt87dwdHPi8kskkZ7a38mxavQ9EQpza1sK57a3c0N3JXwJ+fMncIb6hrIvFuKCjjVv8XXyhvZXfmoG2Qptt6dv2V7S1ZB3n676+QOkJThfHO/sCL3eHhrcf2LNxO+mvskFfkK1ba+JZ1tmGtGDRH4MBfhPoWxdVGaGy1bEo9+ZZU1xPiguSF9VYdzQ71enit97+gffDWxpH9d4qpjfq+s4/eDMWG3J8T9r2/XXpZiaEGAMV1/wU68yB3WqFEEIIISYKpdQxgNe8u4pUsOw4rfVtWuvXtdZjFgLTWneax26vS6tnp/3jTC4tIEQelFLUXPMjLBVe2m/4dbHLESJvxvtvYfGUkPAPfqBGFEZ5dQXtG7cVuwwhhBBCiDFRtWgOx/zssmKXIYQQQhSN2XXqCfNuQUJmpp6A12BBs55l3aq1vm6Q8Ubj2CzDhuyYprXeqJTaSP+A07GkDt4Uwv4Z91drrX1SV2HrEkKIQqrfZze+/Mq/uH3552l9b7CPt5F5mrZBO5aF0exJKXuZHb7+xFY259mtyoOFNgY/kXsmLj5KLeVYcWWEaEqx4sIgjsaBQXRAv7VUR7PfsJkjqMSRNv0XmM5TtLORIO3EaB+ijnTPZ+kSFkdzSlrwbTxtI8TrZpDqz2zjQmbxEh2sTgtXDeV4ajiYirEqEYA9KaUKO37ilGAhicbII/7Qsr2JPQ9dSvS5vq+DCTSKVKeuqWYQKozmUDy942wh1Y3mAEpYiIN6bITRLKe0sE8MaCRGZ5btL9MRacteS5Df0cp7aYHG3zKTemy0EKeVOC3EeZROpmJlPRE2ZWyn7Xkss8ebQwQPv80OTqSMsPl+N1DsiYvbmcOprCdIkmcjxQ+avRaLYjPDHRr4RmcHL0Qj3GCGXXpCZi+b3YgWWa3MtFh5PJJaz49Hwr23fx/o5pnakV3Y8h+hAA+FQzwUDmEBnoiE8SjFOSWeIacdDpUR1PpTwM8XzGVEtOb8jjaejPRtQ98vK8emFMc4nDwRCXN1l4+TnC5Kjf7XxQ4nk7Qlk1zW2cHzOQKEL9TWMc1iY30sxtGtTQDcEQoOeI6fc3v4ZtfA/eIMw8K5nlKej/QP7W5NDN3x6tz2Vh6PhDnJ6eKG8grchlzXeyT6gmZjEzVTSnGSy80bDgf7NjX0Dt+7aQcf1k/b6brXOdLWUySPoONJLjf/MIOTWxNxZkvHISFEAblXnEHJJz5e7DKEEEIIIYZyvvn/VVrr44tUw+NFWm5ByV+UQuRJKUXlFd8gun4j/nsfKHY5QuQn4Me77GDa/vdasSvZJVS4HJOj36kQQgghRAaL3cbH/3odNpdz6JGFEEKISUgp5SV1UMALHFvgTmL7AQw2z7Rw0lmkXQWvwJZn3PdprfPpaAapLl2XDzKv0cic163DmFbqGl5dQghRMGXT6vj0I79n5X6fINTmK9h8NZo1ZO/SczZTuYMdADQQYSpOwiTyDplBqgvUUL6YpdtTDwPF15nLy/iYixs3Fm7MceTgOdqZQt/f2ffSxHFU5931KxVqImfF2bqfjZffs7Xf/T+whWhaONCCQqPJ1l/mVOrYDc+AEN9Y0MDKtK5fB+DFhcHelFGFfdBp12zewULDgGSSZ+jmOhpJAAtw0EIqtBLOeIZB8/6F1DAdOwk0J7COm2lmMU6+RT3Th1huvqZmzOcK6vgHHWw2w249NhJmrrkd/h8NtKVtUSdRznzzMQ8W5phd8j5Kee84XSSIoQmR5EMi/ISG3jl8ndpBa3w5x7a+Fw7eNntYPWyGExXwybTuZj3rclMizupohKX24Xfw01oPCE0N13VdndwcGLhPuisUJKQ1N5dXsKK9lVfMkNmxDid/qEx1QoxrzdzG7f2m25LIP6iXKZoWQumZy+8C3QUPmgHcVlHFlzvaAPhhl4+fd3fyet1Uvt/p6xcye6NuCjalSGrdGxD2GgbOjPU+s2HoC3m+XTeVcjPcNdvSt3+wZ7yEOxLxASGzn5Z5+Uzaeriuuy/0+jGniwtKhg57vmG+hg+GQzwYDvE7byUfdeXfCVGkjHVHsx6VhoW1dVM5qLmBbvO98a9QkDPdJWO85MJyp71XXoxGuGCQYPLaWJRz2lt77y+y5tehVQgh8mFdsICKn/xfscsQQgghhMjHUlJ/fq4oYg3tabcrYRhX35pA5BI7QgyDUoqqKy4tdhlCDIt163qUTXLF48H77MssPHRJscsQQgghhCi4U/98DdMO2LvYZQghxE5DGaAMJf9G/K/Yr2BWT5DqQHWs1rpQnad6LAN8eYx3N7BUKbW0wMtHKbWcVIgu3c+GMYvMzmdLzXDeqJjzyHy+dw5jFlLX8OoSQoiC8s6axv5f+XRB56khay+zrzKbefSdPB4yYxYvZOn0NRpHUTXkOA4MDqeSaTipwMaZTMGTJTQVB7amhcHaifEPGgaMl4smFSapIvuJ5I1E2FGEsNl6AgOGRTNetURayKznFHoHBqdRRxyNZYwjCAk079LNbWkhM4CX8fEU7TxBa44p+7Rsa8Rx0D4AvEqQMJoYmncI00IcLxZ+yNTe8ZNmGAvAjUGABJ9Ma2j7DmG+wCY2UpgOXaeyvt/9j1DKLcxkEf0DWX8hFRYKk+wXMqvCwqfTgl25lGGhCivTsXM4pdzHfM6lmuuYzkkDvl720WnrI9PbGetAAQ8xnwSa1eb2dVlat74z21o4t72V7/s6eD0a4U/+bp6KhLJ2/3k/FuObvnau7OxgVuN2ZjZs46KONv4VDBBIZq8nl4TWA0Jm0wwLi81wxwPhELObdvSGzI5LC5kBWJXi8eo6znGXcLzDaa4X8GepQ2vNi5EIa2JRwlrTkmcgLd/3UmMiwfc7O7iko52LO9o4v6ON2/zZQ70Axztd/K+m7zXo1poDmxv4R6jv/f9B/TQqjdS+75f+Lp6KRHAAt1ZU9XaAezIcGjJkNtti4cGq2t6QGUCz7ltHsyx9x8H/Gw5xUHPjgHlUW/rvgx8OpwLIduAX3kqsQwQOk1rTkvG6XOBr57eDrCORXc/bcjz6ipUaBmvrp/XefyFHp7yJLD0MO1j994eCnNja3Hu/1jCotYx9YFsIsWuwTJ1Kzd//huEpfHhdCCFGS47HTcrjcUKMViWwUmtdtHCX1rqzWMsuJEkeCDFMtnlzsU6dQnxH/gd6hCiqtha8Bx5Ix7OvF7uSSU8pmPby69iOWMb61e8S6R54MDXrdBYL0/ZaQCKWINjVTdeOFvQorlgohBBCCFFIe5x5InudfXKxyxBCCCGKRil1F6nwzooxCJlhzjuf+f6MVBesa4FjC1zDtRn3fVrrvDunaa1XK6VW0b+b1nJS4bjRyOzOdbfW2id1jU1dQggxFuafcDhP/+g3BZufgeJTTOMFOthIoDcWcxOb+kW51hGgjRhP9bt4bD7zJ0f0JRWoOZxKfMQox4rK8zT5Gux4seXVLW0kDsDLq3TSktGpCuBd/JRgoTxHGG0srCb3eRQV2JiOA4VCA1Nw4MHKhwQxgP/QBMCLdHAxs/Nex/lIoLmHRt6hGxuKSNbIYkpoiNfKR4zVdLLm3dfw4ON5/L2PzcJOKRa+Ti2z0kJdYXTvEl0oTmcjsSw1fJOt/Ihp7IlreE8wQ+a2fDYb+RyVfJ06vsFWQuayXyTARsLMzOiA9g3qqRnBdmPH6Nd5rMd2ovhIMB8Hv6GZtwnhz/lu608DJ6YF537PLE6gnAMp4Ytswk+Sx80uWn8JDTw2t9hq42iHg+Odbr7c0UZjsv/r+2A4xAPhEJd2dnCy08XlpeXMtg59Ks0XOvoCideXV3CW2SkpmUxyensrr8X63pPHO5zclhYy67HIZuMn5RVEteaA5gbak0nuDgX5fEYXsl/7u7nB3//8qCMcDq4tr2CqGbQ6xeXm5WgUv06igW2JBH+pHDocC/DPYIC/BPuvu4fDIbyGwYocHaDmWm1srp/GR1oa2ZxI0JYWxFpbN7W3a9lj4RA3moGsn5VXsLctta39sruTX2YEtRZarexhs/FNTzkzcrwGsWSSFW0tvfcXp3Vt+n6XL+s0K/3dLLHZqTYM/hPq66R3iMOBPY+udoZSeJWBTyf5uNPNf8JBNPCz7k4OsNvZbwQd9XZV49XRLN2XSzzcFvDzr1CQoNbcWpHf+2Ii2BCP9d4+wTnwc6E1keD8jrbeQCuAVxm8VDtlXOoTQuwaKn/xc6zTpg49ohBCCCHExOAFXit2EcBtpP4MHt4P1BOIBM2EGCZlGJSe+Qk6flW4g2JCjDV72FfsEnYZhk5S/9zL1GlIzqhF22xgtRCrqKDL6aCpsY2WDzb1Xq6tat5M9kpGsKx5p3ce8en17Jg2jXUvvNF3WTchhBBCiCI5+LIvFrsEIYQQomiUUrcCZwDna61HGwLKNv8zzJsbBx0R0Fr7lFIrgfOUUudprVcWqIblDOyC9eURzOoK+h+4OYvRB6euzLKM4ZK6hBCiiKYftC81eyygZe26gs1zLm7m4uZduvlnWgewnuiIAbyYV7PQgQaLvXSR4Ef0PY+jqOKIITqcbSZEGVb2p5xtg3QX82LlXGZyH42sJ5gzAvUd5vM6nTxMKmRRj4PZuNmDUh6giffMbk8OM0j1DO1sJ8xnmT5onYUQIUknMd5JC11BKnh0EbOIkqQSG1b6LpedRHMHO1iX0QWtjRi3sYVzmVmw7mZbCLGGbrPWwY+9uLJ0oOvxT3bwbs9z7Og7T8SG4rNUZQ1ZAb1BQwV8jA3/n737Dm+rPPs4/n20ZXnIe2RPCCRAAoQ9yixQ9oYWChTCKJQCJYXSMlooUOiCQgMFXmjLplBGGQl7r7BX9na85amt5/1Dx7ZkS7Isy5aT3B8uX9hHZ9zSOTqOdc7vueMeu5PxBNDcRj3L8PNz1rI3+fyUCoozvKXjQAp4kd4QTxsR/kETNlriOsxFgKtY33PsV2PhFEqZS+Jw0WBpNB/SxVWsH+BVT5+XCEvw8QvW9uuWl8jXoSBfh4Lc3hl/bG6Ng73IZyNBnqEVRbQL2St+Hy+UVaYMm73h9/Gav7e70PHOvJ7vTSYTT5ZV8KOmBt4I+PmBw8nfBgi22JRiktlCcyRAXZ/BKGvDoZ6QmRXojp287veza/1GdrTasCq4v6SMF2O6jA1G7Ot4dWERt7S30ak1d3a283EwQMS4XnmUM4/dje5rEO229Fp5FZM2ru+Zdp6rgAKj+9j1bR4WGK/7GXn5HJfnYse6Df26gwFcW1DEGfkFA9Z6R2cHa43XaF+bnUKja9PXwQBrjOm/L3JzitPFCc0NvB8I8FEwwM71tSh6g05VJjO3FA3cta/bDKuVdwN+8k2Kbypr2LpuAwCv+X0SNBuEXFz5/ll+IS/6vKwJh3ne52WP+lreKK/CnEbIMNe+CfYGzS5wxb8/VoVC7N0Q38HvF/mFXFhQOCK1CSG2DLYdtsex9165LkMIIYQQYrAGvO463LTW83Jdw1BJ0EyIDBSeciItf70TEnwAKsRoo5WJrpB8uD3SlAJzbX3PzxbW4AQqgcB2W+EpLiIYilC1ek3cfACW9RsZv34jNdMmsLqoiFUffjmyxQshhBBCGCpmTqdm51m5LkMIIYTICaXU5cA5RENmWQl1xazbDexEbyexdEfWmw+cACxQSn2ktV6chToW9Jl8VyahOqNL1+NEg3kAxymlJmutM7qYo5SaQ3wA7q5M1iV1CSFEbimlmPvTU3nuvGuyvu4ZFOCkDm+feNhIXb37gBbG4uBlGgkQwUOIHSjkB0SDHu/TwvM0YEPxY8ZxFVN5kQYW00a4z632ZdgowMKpjCVChL+zhvoEHcqeoJYK7JzLeJ6mjg34uZPVHEgZ+1LGkVThIcgC1vQsU9GnU1W2tRPib6zCl+CVd2HmVMbgTtIZK4hmJV0JH9uAny9oYweK0qpjEY0spRMrip8wvt/jn9GWYKn+xmDncJKHdb7pE6Tr9g8mUJPitX7YGLy4b8hiO5z8jQZuZix/ZBw/Yw0rCfAGHczEydEUp1V3X64EYTkvmhDhfv3aGmOOyCk42J/MQgoaHdeFLoLmFupYmOZrD3AjNfybFr7Am3SeK1lP+xDe6btZi7giWI4zJvR4FMW8Qwf/Va006mBPeOO3hW5O79NdDODM5t5uZo+VlmNKEFj5Z2k5kUgEk8nU77FE6o1Oa5Xm+H33uhFom2A289vCYr4LBak0m7mjo51vQ8Gezmm/bPXwF3c0OHVPZztfBYOc7cpnhnXgc0B39afnuTjLVcDqUJj/6+pgWSjEslCoZ75Pg0FeKnfELds3rHOG8Xo96e3qCZntbLWxj93O+Np1/bZ9WX4hFw0iGPM/X++x8UBpOQAfBfwcY3Q5qzaZOTUvWsMl+YWcGLOvNFCkFOfmF3BGXj55ae4bALcx75t+P3lFJnawWvk0GMQ2or25NgfRs81IZrwKTSaeLatkOyMcuDYc5qTmBh4rrRi5IjJ0gSf6u2MPm53p1t7fpVrruJDZ7jY7D5aUJTwXCSHEULhO+1GuSxBCCCGAnkETDyR6HaQEmGw81Ew0VLQYWKi1XpSbCsUo4851AZsDCZoJkQHbpAkUHHcU7Y/+J9elCDGgyA670vHqR7kuQ8SwffUd6XxsbVmxmimAe5+5fPq67EMhhBBCZGbsbrNZ9+4nGS27xy/PRsnFaSGEEFsgo9NYdwhsvlJqqJ2huofKdyd5PK1AkNHV7HhgIfCyUmr/IYbNHqP3YhzA4iGOsHc2cAC9z3MB0Qt/mbg75vsVUteI1iWEEFk1+8xjefvmf+BZ2T9gMFR7UMIioiECB6aEYafh0kmEf7I+btpHtLIV+Sjo6ToWQHMXa7iQCXxIa8+8FVipN3oTWVD4ifAg62kkQGe/KFDUWrzsQylr8LKB3m5KC2lkIY2cSDUNMQG1SeRxEOXZesoJfYgn6et+LhMoSHFLgh0Te1LCazQlfPxz2tiK/JQdxgDCaN6it7vYHazifCbGzeMgvUDJjrhTbm8mBT2d0bqdQnHKkNlXeHnW2PdOFF4jaLGQ6XHzrSFAs7HvJ2LLOPAF8HGCAF8RJqqx8m3MsQPx4bdqLFgzCM4sxcf5rGEOeVxOFW7MfIcvZcjMDNzNBM5kdc+0G9jI40xhEe3cTG+IYl/yec0I+WUaMivCxCVUsXuwf3BsPDbGU8KeOp8zWNUz/ddtHg5xOKkwwl+v+Xyc1tKISykCRpevn3uaOSMvnzNc+Vj6fI6WbsgMoN7oxjWmT9DsBSNYtZvNwb4OB/sSDXp93+Hkw4CfU40g1ev+aNfEpnCYa9uix5sZ+IN74K5d3VV2v7Ln5xdQYTYR0Bozio2RMP/u6qRLp37tp5gtVJnNrAuF+GVrCwA7WW10as2PW+Lf57vbbDxYXDao1wjg21D0vDnZbCGoNf/q6uTqNg8ApSYTd5f0do/bze7g08pqzCg+DQYIaM0uNjuFg9wmQGufQYgDxhunU+eiR9emq/vVGulPnN0mE6+XV7JPQx0A7wcC3N3RztlpdNHLlZd83p7Xq7jPMdsdQIPoe+Hh0uH9XS+E2DSZit2YysoJLc2su7Rl8mTyjjgiy1UJIYQQ6VNKTSY6AOM5KWZzE73OdQBwuXF/y13ATSMxGJ9R4zxj+5Ppvd7jIXrtbxGwYKQHBhytdY2QFcRf+xQZGvynJ0IIAEouuRAy+ABSiJGkLVY8ny3LdRliiIo//ISKrRP/u6ds2gSsLucIVySEEEKITUV+dTlnvPEvph6y96CXnX3WcWx3qlxAEkIIseUxOkM9FjNpcha+3KQePS/tEWaM0RjnGev7WCmV6gJbUkqpx4heYOq2SGu9YybriqnNA+wfM+mATOozusnFdufKNHwldQkhxChgttn43nUXDcu6d4n59TqcIbMTqEp73n+znof7BNAAbosJ0wCczyT2MLpVfUsnv2cZq/EmDZnlY6aLCC/TSDE25jOFXfv88+IRatmVYnaiiD0p5gSqMWVwO3/fjmupJOqcBVCDPWXIrNtMem/yn0wepTHLrMDLTSzvF+zqS/epN1E3uIECd24szKGQYqz91hfrOKqZTXwwoQALf6eev1HPf2iJe/0CRPgTdWjg+xRylLHPXZhYZ9TZRpgHaeIXrKWVMNOxcyvjKBwgYJdKoi5LrUR6QmbJ9sw+ZBa6uI16ABbTxUms4Pss5ZaYoFgiu5NPE6G4aS7MKBQHUshFMcM2vkYHZUN4PSD6/K+nlstZSyDJ+WIsNv7LVE7uGScCDmus44/trZzW3MBpLdFQV2y4aF04zG/bW5m8cT3fBYM90z8M+Hna24VOI4j0RTDQE//ru+c6jXDXNEv8XnMoxV52BzcWuQGoMZl5yedldn1tzzzuNO9n6D5PdJ99qsxmfppfyCUFRfysoJATnS4gecfIv7lL2NVm4/6SUp71dnF0Uz1e43kH0XwdCsbNf4Izj4dLKwYdMnvd7+t5d60Ihziooa4nZDbGbOa/pRVs16eDW4nJTJHJxD52Bwc6nBmFzOrCYd4JRPfQdGM/fM8eDfw97UvclVEklqugGcAki5X3K3p/n9/flbhD5WgRG2581uclYryn3vT7eNYIoJaZTLxWkf6/UYQQW5aCc+dR/tC/UQ7HwDP3oQoLKbvvHkx5cj+SEEKI3FBKLQCW0xsyW0Q0dLYjMEVrrYBi4+d5RDuadTsHWG6sY7jqO04p9bFR4+VEO6vdBRxvfN1lTLvcqOVjY5DLYTVa6xphTwAn5rqIzYGkZITIkG3KZAqOPTLXZQiR2qw5hJo9ua5CDJEpEGTb5kam7rZDzzSHu5Dddt+O7VasZE9zhMKadHqkCSGEEGJLULPTzJ7vJ+4zF5PFwrRD9xnUOibsM5fD7rg626UJIYQQo54xwt/LI71dI3A0mPm7LwoBLFBKLTQCcgNSSs1RSi0HYi8c3aW1zko4yeiwFruuBUqpA5LNn6C+2G5yADtmY0RFqUsIIXJr5sk/oGLm9IFnHCQrJo4xQmBV2JmGC/swXAJPFFxKJZRk+lyK2J8yrjE6WXUmnTOemWj4ay5uTmUM03DhxMz3qWAc9rh5bZj4AZUcQPmAncD68hPheer5LUu5lRXU9el8lcgcijiaKqr71LEBP20EkyzVS6N7AnMr6OoXPAJYh3eAdST2LR08Rx3NBDCh2C5JiOoIKjmZGhbTxv2s4x7WptzeKe74Y3kBDTyBh6fwcCcNrIo5Xh6hhdUEcGPmbMr5ISVsg4NOIlzNBrqI8CvWcx9NtBNhBg5uZuyQQmYAS1Psu0MpTHjk7YaLrRj8zcQHsoRv8PWbvnaA/f8mHfyiTyjzXib0fL8fBUyI6RTXmCSEORgBNJ/g5UM6k86Th4kzKeMvjMNhMlMXifDnjnZe8yd+Tfe39968fWBjHUc31jOhdh3HNjVwkaeZZ3ypj9/PAgEOa6zv+bmkTxBqlhGc+ntnO6tDvXsuojUv+Lxcb3Qvc5kUP+nTNew/3t4QVEDrpKG37i2uCYW4ptXDPZ3tfB4M0BKJvuYmIxUUTvJmO9yZx6OlFdzR2cH5nmbqYgIyn8WE77a2WFhWWcMtaXRZixXWmrObG/mR0b2t2/JwiGJl4vpCN6+UVzLeMnC4NRGf1nwc8POn9jbOaG5kvqeFU5sa2Ku+lsm169g5Jrw3w2oF4CDjpv114TDrQumdy0Xy8/VIaAqH+bmnpefnH7v6dzccTXazxf9eXRoK4dO6p4shwD9Lyka6LCHEKKby87FMm9bzs2OfvbHUVGPbYfvBrcdhp/z+e7FOm5rtEoUQQogBKaUmK6VaiIbFVgDHa62V1vpArfXNWuvF3ddAtNYe4+e7jIEUDyTasavbOUqpFuPaX7bqcyulFhIdsHIO8DhQbNQ3X2v9uPE137juVmzMMwd4TCn1mFLKna16RntdOfIIMEcpNWHAOUVKmX3KIoQAol3N2p/4L0SGb4REITJmteH5rv+ImWLTZGr2MKF5MWOmjiVcWIi1vhHTB5+CAtXlpXTrrWjbUD/geoQQQgixebO68hiz6w5s+OhLAMbtEb3ffLsfHsHGT7+hbd1GmpetoWX5mqTrKJ0+kRP/cxtmmy3pPEIIIQagkCG+hiIXQ5v3mk/qzmPDYfHAs/SntX5cKbUj0YtGBxDtbraY6AWURcAKrbXHuDA0GdiJ6POLvaC2ApivtX58CPUnqm2RUdvLRF/PhUqp+Vrrm1Mtp5S6iegoit21HW8EsaSuHNQlhBDZZDKb2e+Gn/PwEedlfd3bUch2FPb8/DqNvEpzVrfxWhbWV4aNg6nAHPOPnc/7dOpyYeZMxvEhHloJYUXxOe2EAS8R9qesX4eyMxjPJ7SyGi97MLjwRl8Psp7VRqirnRD/ZSPnkPqeDCsmtqeQ7SnkGpaktZ0G/DxNHWsThJMS2YGiAWsowUqzEWyaRQHr8fEwGwD4jDYuYCLHUM1siniVJqaSx664sWBiPT7upPezkg0D1LXzrK3gzY+TPl5u3IaxGj8PGcfOBVT0hMd+Qw0XsJo1BDiWZT2hrxMp5jRKsQ3xj4lUHdkswP9oS/jYjwY4frqIsBwfM3GiBvmPdjsKjU4Z2XyWqVhinrsLM/9gIj9mJevTCC0Oxh00sMcA3du2wcm9kfG8pTp51xXkk45oQGU6dpbEBPmmWSzsYSviuvZo4OvjYO+zjAB/6WjjBw4nJpX4NTu8qff63kX5BczpEy45z1XAKz4fK8IhLvQ08XhpBW/4ffymzcO6cDQIZgbOdhWwlcXHA129IboL8qPP8VetLfyzq5OjnXmsMsIqky0W7iwu7akT4K2An7cC8YG6/e0OLi2InmNTdTtsj0R4MGbbFuJDtw7gpfLMOi897fPyor/3fTnXZqPGZGacxcJZrnxKTJkHM78NBjmosW7A+caYzZznKuA0I5w0I6Zz2tehIGMzDLltaXLV0eyzQIB5LU1siIRxKcWtRcUc6swb4SoGZ6zFwjeVNcyoi/4uu7G9lT1izg+zrFa2tcpn+EKIXgXnnE3bH/8ERENn1m23BaDoV1fSftfdRFpbCX73HZG6FPcWmUyU3vE37LvsMhIlCyHE0Mn1uKHJ7fW4fowBFbuvkwx4jaSvmGstH9N7rc9N9PrZ/kO9fmIE1hbSe51tnjEwZKqaPMDxSqlzgAVEB4Gco5TacbCDUG5qdeWK1nqxUuoVos/r+7mqQyn1E+PbR7XWiT+MG+Xkkw4hhsA2dQrueWfiufMfuS5FiDiR2bvS8vkKQhI82uxYVq1L+Mu7yqJYOeLVCCGEEGK0sRe6GLf7bD68/V8AFE8ZB0S7oR7xj+sB+O6ZV5Le2OcsdXPKc3fhLHGPSL1CCCGEAKIBoYwYF8WmKKUuB64gOvJgT2czleRmVmObCwZ7kS6D2oqVUguIjjx5k1JqHtELO4voHVVyMtFRJs+h98LfzVrr+VJX7usSQohsmv6D7zHj2IP55okXh20bG/FnPWQ2VA5MbE0+e1ISFzIDOJ2xPMC6nj5NnYS5jVVUYEvYRc2S4A4gE4odcbNjmln5z2jjSTZix8QV9HYp8BPpCZl1K8Tab/lWgiyhEwWMw0llTCezvSjhLZqxophBfsLlAf7O6kH1pqrq0y0tkYuYFPfzN3T0fB9A8w4tHEIFk8hjEr3hggb8/TqY2YxQVN8w1dazt6GmvRP/mx9xHuXcSUO/OnbASSFmImj+TD1BNLvgYh96O+eUYuFqavgl6+kyIj6lmDmDsn7HSCaSDZFaiommPo/eyXg+posCTExL0c0siOZi1rCSAOdRzjEU8wqt/IGBAzoA/hQBpV1xcQzFSbsRHkMx99JIp1H7WKysG2LwrD7NboLlWDlauzm6I/qTNv77Oev42ggk3t/VyVeVNexit3N9WyvvGEGt/e0OPgz4WRoK8T+flx8kCLU87+19z00xW7isoH+ostxs5v6SMg5o2MinwSBTN/YONGoHDnXmcWVBEZVmMwfaHfw0vxCNJk+ZKDK6o/3TCIA9GdPh7JtQkKZwmFKzmVJT8jszX/b7eNkIeaXqRpWvFHvZ7LwZ8DPebKZQmfgy1LufllSPTbF0cn6t+V2bB4BxZjNvlVel+junn/XhEHd1dHCY08lcW/9zya1GQLCvGpOZP7tLKDGZWBcOsbvdgSNmu56YwYgnmOXWq3T1Bs1G7o7WSz3NPGYc+5PNFu4qLmW6NfHvp9HGFfPejH0vAjxRWpGLkoQQo5h9991QC+5Cd3ZiGT8eZY4Gse07zsG+4E4A2u+6G8811yVdR/FNN+L8/sEjUq8QQggRyxg0sTtkdqDWelEm69Far1BKHU80eNXNDbyslJqUaYjKqG9QYa4+dd1l/C27wFjHx9kIdY3WukaBecAypdRZWut7clTDXUT/DF4ESUZ9GuXk0w4hhqjs6ivxffQJvg+Tj1onxEjSO8yl4VUZuHhL43z/E6q2mcbGr5fnuhQhhBBC5FBHbQOtqzegTCYqZk1nykF79ptn7C7bJ1zWbLNy0lN/o2SqdI8XQgix5dJazyN68WGTYgTGbjZGe5xH9GJQ9xdEg2UriHZPe2Qku15precppeYTDUadCNyUZNbubmx3jcQFLKlLCCFGnlKKo/95M03fraT+y/Q6Xw3W31k9LOvN1IVMpJTk3UbG46QEGw19QmWJQmbHUJWVENKTbASiwbIXqGcsdp6ijvH0D8F8SwcN+Ck3gl51+PkHawj2iZtsTyFHUsn+lLE/ZQPW4MRER9I4VLyTqE5rvr4m4ETRG2qoSLIfOhJE3n7B1H4hiKkzp1H+zXL8vmiI6Os+oTwzEDa+/k4DnYT5Ei9OFBdR0W99M3DyLyaxmgBNhJiKPSv7F8CX5LVtSzB9Kg6m4hhwnS/TxkrjuLyTBu7pd9RCIaaE20hmV1z8ljEDzncEbg6jiCZCFGDGgeJpPNyeIOg3GDewgSuoHlTgRRn//YXxrMTHOazBqzWTN65nT6uNnxcU8bC9N8z0x/ZW/tzRzvmeZixKsYPVRm04xH2dHTzliz+GXq1I3u1LAbF9xqzAnnYHNxcVU2nu7eallKLKnLy711mufO7p7IiZP/r/4/NcrAiHcKD4aX4BDqX4IhjknJYmNkZ63yMNkeT7VynFX90lHNJYz5pw97shanGK55bK634fP2puBMCpFNcUugcVMgM4tamRFeEQ93V18GBJGXvae493rTWrja5wVxUU8YLPy0dGR7oNkTC7GvsyUSipLCYA9Irfx1abSHBptBiJmFlbJMJRTfUsC0WDpWNMZp4uq6AwRbByU1FjMscFH4UQAqDtT3/Gsc/eeP/3PIWXXJxwHvsuc5MuX/TLy8k/9eRhqk4IIYQY0N1EA2HHZxoy62Z0NlsEHBAz2W1s4/gMV/syvdfc7hpMmCumrruUUgcS7R42GXiM6MCCQzFa68opI3B4AvCoUqpZa/1krmvaFG36fz0LkWPKbKbytltQzoE/gBdi2E2YQsO7X+e6CpEDSsFWIT/FEwa+ICeEEEKIzds7t9zD/r+/hH2vuZCwv/+Naa6KUvKry/tNP/K+3zN+z51GokQhhBBCDBOt9WKt9Tyt9YFa6ylaa2V8TTGmzR/JkFlMXR6t9c1a6x211gooBnY0voqNGnc05vFIXaOzLiGEyAar08GxD92K2Z48fDUUyToiZZs1jVvkzUBxko5eACE0H+BJENeJN4sC5lBIhRH2iqB5kQYeZD31cdGT9MQGrj7Aw+PUEQJW0JVw/vuNbl8r6OJOVvcLmUG0S9qjbEi7hlThu77aB9X7rFceZo6nmn0o4WdMStrxbRJ57Ey0i5QF+BVT+wW+SqvKGVPbQMTX+3rHduiqwkKVsa+/wMsTtPCCMVDxGZRRkeQ4KMDMTJzsQwFjBvGaDMRF4qBR3x5g11KT1vq8RLi1T+eyREdtopDZrBQhtv0pTGv7AGYUFVhxYkKhOJJiXmAaZUMYW/lVOribxoyXn4SDSTH77a1ggOObG1gT6u2WdqargHwjDHJOSxNz62s5sqmhX8jsJKcr5bZK+gRjriws4v6SsriQWTItMUGx2JBZdL3R5R1KcXWhm/mFRbhMJsxKsYPNxgeV1RwcE8yabkn9epeazVxWUBA37Z/FpZRl0PHrNV9vyAyiQbADHcm77iWzIty7P+a3thDWve/dleEQ3xpd107Ic/F4ycBB2W6TYzrLxXaKE6l1v/rLQ0Gm1q7jx01DC4wm83kgwC71tT0hM4BzXfmbZMjs0ZL+n+Ufn9c/HC6EEP6338E8dgxFV/wS27bboHX/f7dbt9mmN2keI/+sMym48KcjUaYQQgjRjzGI4nHA41rrx7O02gUJph2nlJqcYHpKSqlzgDkxk+ZnXBWcHfP9Aca6MzJa6xotjGPpBOAJpdQNI7ltpVRsy/rmkdx2Nm16f0ELMQrZpkym9IrLcl2GEIRLK9EJbiYWWwbLijXs0LCRWfvIDeJCCCHElszb5GHR/Ft45OgLeObsq1jx8ru8cf2daGPEYR2J4G3yxC2z77UXMuuUw3NQrRBCCCG2REaQarHx5cl1Pd2kLiGEGBkVM6dzwI2XDsu6L2YSP2QM00gd2hiqIJo9KE45Txh4jNqkjz/GBp6nIWlMZhb5TMbJF7SzmDb+zmo0mldp4l1aWEInd7Aa/yA6SAGcHNNBqu+Sp1DDnhRTGFNVBxFepYH/pHguAOvxsQYvOkEQra9DqUy73qYBgnipbEMB36MsZeAP4DAquZppXMV0rAluoZgweSyhPp+lXEE111DDr6nmVsZxC+O4nCrOpozjKeZACjmZEo5IEnAbbseksd3dyU9rXeuHsA++wJf0MT+RpN3X0mFGsRX2gWc07ImLF5kaN+0dOpLMnZ4/Mo5t+4TpDm+s5xUjSOY2mZhfUERhnxu6x8YExHa32bmpyJ1yO/kmE8uqxvC/sgpWVY3hLFdByvljhZO8Jd9Ls8vY3SVlrKwaw41Fbu4qLk05r19rFsSE2R4rKWOfDMJhr/t9nNYSDZmNMZt5tKScH7nSO15j+frcYL82HGaX+lr8xvQSk7nnCFoRCrJjw8aeebexWFkc8LPQ5+Xhrk5u72jj1vZW1oRCHNNYH7fefw8ioLal694l//V5CQCvBPw81tWZ1W3c19HO4U31dPbZ/6dmcAyNBrva7SytGsMl+dFwbpnJxPn56Z8DhBBblo67/kHr72+kdrc9CX75FZ4bb8L32us9j0daWnpPxoa8o47Efe3Vg+4aKoQQQmTRPOP/zUqpy43g2VAl64o2qDCWUspNfGhtSAMAGsvGdh1bYGxjUEZrXaONETbbCThXKbVUKXX0CG36gIFnGf0yH95JCBEnb7994De/y3UZQogtnCkQpOLtD9httx34YPG3CbuYCCGEEGLLMX6vnZiw1448fMR55JW62enck3nt2tsJB3rHsN7x3JPY+9cX5LBKIYQQQgghhBBbmuk/+B4v/vz3WV+vEzNTcTHVCJrdx1pW4x1gqeRswFYUsB4vzYTiHnubFiZgZ3WKrmLf0EEtPqpxoNEoo1NWG0G+I3pjfSjJsl8kCMBcy9J+vdR+zzIAxuLgAMqYSOouJ8VYuZTJrMVLHmbW0sWHtHI24/ESIQ8zBVh4gYaeyNjrtGDps2UT4MaKGUUbQRyYuZe1zMXNoVSkrKESO6cyhn+zPuV8BZjZkxI+pZUybIwlGlh5nnrex8NYHBxFFWVZ6Aam0uhSFysPE3v0CWodOIgOXcPtPCqowMrfjTBjouMsjO7XvS2RwiQd0obqFup4nlb+xLhBv/7dfkYl37KapjQ6371FJ1/0OR8E0dQPIkgXBG6nng0EuZsJ5GPmz4znfFaz1DgXtOgIP25p4rPKaopNZk535XO6K5+g1iwOBihQim2sgz9mbUoxM4PlysxmbneXcFWrB6dSjDWbubrITc0guoyZleKUvIFDOnd2tLPU6CB1Y5GbXezJO9qlsqCjHYB8pfhXSRlTLKnDosmcHNMta5LZzMpwmPpIhGkb13Obu4QjnXkc7szjcW8XR/XprPV1KNhvGsBfjNq6fVJRTWkaneVEVKLc47NeLwc5nCjo/6V6z88JH++ZTxGJRJjnaeZFfzTgaiW+k+ODXZ2ctomGzexKcXFBIRcXjJ7fM0KI0U0VFWHdZgbWZcto+PGZVC18Eeu0qbT85pq4+ZyHfJ+SP/8RtQl2fBRCCLFZ6Q7l9HTRUkrdrLXOuEOX1tqjlPJAv5F4BhsAuqLPz4k6pQ3WAmKeq7GNwT7X0VrXqKO1XqyUmkT0+TyhlGohGqpbqLV+ZZg2O2/gWUY/CZoJkSXWcePAbIbwwB9iCyHEcMv78FN2n7kVH62pZ/w2U7CYFF+98XGuyxJCCCHESFKKSfvtyhcPPkuwy8vS/73OTueezLL/RUcunLDPXPb61blMOXCPHBcqhBBCCCGEEGJLUzS+GovDTsiXPKSVDS1xt5hnQnEs1ayli3tY1+/RVCEzgFIs/IO1hNGYgN0o5m1a4uYpwkIRFhoI4E3S3Wkb8vnaCJ4l6xe2Dh8PsYH5TMGUIrTzLHV8Qhs2FLMowIqJMuwsYA0dKcI6ITRzKMSMogYHM8jHYQSQwmh+y1IAPsDDwZQPGGCahotZ5PcE6g6lgtkU8ix1ODBTho1puPiYVl6lCYBjqeYF6uk06lyHj9tZxQGUsSclKbe3pegkzGK6mIqdMuN2kGRhxnRCZgAP0dxvWgEm2gfZjaxv6APgK3wcxFJOo4T9KGTMIEODxVi4nfE8gYdOwjxPW8r5L+sTbqwnxKmsGtQ2u91CHVdSDcDBFLKU+FDSz/0+bp+7H4XN64isX49VKXaxpd+BLZuOcOZxhDN1CDUbrCoa+tHAw12dzLLamJVBOO6tQPTcur/dkXHI7FWfl4+DvSHCl8sqmVy3oefnCz3NHOxwcnpePo97u/ot71SKMpOJEpOJUpMZr9a8G4g/538sIbNBC+j+541XAz5mxeybbOl7vrFJpx4hxBbEsc/eEAzS+dDDEAjge/11LJMn4Vv0MgD2PfegYN45OPb7nnQyE0IIMRpMTjDtcqXU74fSpQtYAfTtjpZoWwkZHb0uj12f1nrFEOoBeoJPHnpDcJcziEDXaK1rsJRSdw7XulN4HDiO6HO73Ph3kAdoNv4/VG76HGNa69QfVo1iEjQTIktMeU7s28/Cv/jTXJcitmDm4PBekBWbFtuX37Gb2Yx67yO0hqZtp7Pxq2W5LksIIYQQI0EpDvzD5Wz46Eue/slVbHXk/hz9wM0A7DH/bArHVjF21x1yW6MQQgghhBBCiC2W2WZj3B5zWPnyu8O6nf0p4xUaaTWiNi7MnEA19yUIjSUSQHMNSzLeflNMxCcC/UJmACdSQw0O1uPjbtb0e3w+U3BiZgM+HmAdvhThngg6ZcgMol3Wwmi8aD6gNf0nAyymjauZ1q/7VN/AUiTNTlnHUsNkWinEwhSjC93RRnCn21f0dg96mtqE0cHPaRvWoJnH02b0Uhu93qeDq4gPajzJFI7GTSMh9iSfVsLcYYShHkr/virOoZxnY46VCiycSSk3UpfW8uOw8ncmYMPE03h4kCYiaFpijuUHaOYBmnmKKbgG2UGtDCvzKAfgp1QQBl6klb/RvxtVNs2gt1vXIRRxe5/tvepp4cmX3uPQ2dtRaquHwFCDr6PfOa4C1oTCPOTt5NNgkFObGnmjogr3ILqk/LW99/6rTEJq3U5vaer5/pnSCiwJari5vZXfFLp5rLSc5nCEcrOJCmWizGwmL8H8LZEw93d28k0oyDxXPuUSMhu0gx15/MeXeafRTL1TXsVYi9wiJ4TYMli3mUHRJRfTeNbZ+N97H/e1V5N/1plor4/im2/EOm0atlkzc12mEEIIAfSEppLZCVg0hNX3HzlncE7o8/PjQ1xfrEeJ7+B2jtb6rjSXHa11DdY8ko+pNZw0xH1wWWx8iT7kr2ghsqjkZ+dT++N5oHNx3hMCcvM7V4xmyuiyqBTMWLKMiXtsz7J6D41LV+e4MiGEEEIMp32vvZCuhmYWXnYTe//mAva9+qco4+aIbY77fo6rE0KILYBJRb9EZuS1E0IIIbYIe191Hmve/IjwMIYvtqeQqbi4leVEgDkUMYE8ZlPIJ0k6H3V34xkJU8ijxgirjMFBBTbqiXbgKcTCOYzHatz3UIODnzCe22O6Lyngaqb3hOGCaL6hgxnkJ93mRJx8ZXQRS0cRlp6gHsBj1HICNQSJ0EWYIqLdhg6ijFdoYi9KsJJ+qGQ2RUbtESyofiG2Q6jgRRqox5+0P93OPQMtD49IZPRff+sbMgNwYOJ8KuKmHUIRVlTa3cwAnH3257+ZzLxBdAFbSxCbsY4jcHMEbi5lLR68/d5rj9HCjylLe919dW/nSNwDBs1+SAnHUdzvmEvlOJYTNKqeQm93MhsmdiWPj+jiexSykDbsKIow0/jJcjoryhmz80QsK79Bt/QPnG6KvgkGeM3vZ5zZzL52B/kmE1aluMldzM8LCjmmqZ514TBv+H1pd1M7rLGOL4K97/Tj8zLrwvZSTJDpSIeT7W2JA2trQ9FzW7qd5opNZi4uKMyoJhF1iNPJGudYtNaEtUYrhYaeLwCNRmvipsc/HjMfxM3r1xEcKnoeUESvkRcrU8669bRGIoS0ls53QogRYx4zhrL77mHjPvthKnZT8Z/Hse+0IwAqz4nrmKNzXKEQQmSZXI8bmlHw2mmtPX26aMUaalBsqKMSzevz84dDXF+s5X1+Ph5IN9A1WusaLA9QBIP4YCY7Yv/EHE65f4MNkQTNhMii/EMPpuoff2PjvIsgFBp4ASGyTJvktC6SM+kIrvc/YTsN/rmzWOkLsuHz3pFYbQUuiqrLaViyKndFCiGEECIrKrfbirrPvuXYh/7IzJMOy3U5QgghhBBCCCFEPxP33YXTXv4/Hjr8PHyexKGvbDBDT9+kGhy8S3PSkJkZCKdY11yKqMTBM2l2ckrGBGyFiyOpipse26usjRC3sCJl8E0DS/uExh5hA79gMq4ktwIcTRVfsWzAGvMwYUKxP2WUY2OB0W3tazroJMQfWAHAvpSwL2XsTgm7Z3D/znp8/IdamghiRvFLpsQF1SaRRzk2NuJPuPxEnOxkhNWGi82eeVelkbDOCCfGmoYdS4L7WRyDCAF2q+8T8TuEJSS6Em6BhNMn0P/1+5zEHY3+TfOQgmbdFIr9KeDlmI54fX1CF6cPYltP4+kJmQFsR3wI6reMBeA24/wwBTvTjTCat97Dsuc+xWy3MnbvXclrryWyOmZQSLsd09hxRFav2iTuM/g6GOD7jfU9P08xW7i/pIzxRseoKrOZg+xO7u3q4MOAP62g2T87O+JCZq+XV1Jsyiycc5Gn917Ev7qTn5eqzXJtPVeUUliShr/UEG7Hy02gy681L/q8rAmHKDOZ8WnNHR3tbIxE/1VRajLx75IyxpgtrAgFmZ1muFEIIQbLutV0TMXF2GbvQOmCOzGXDf3fVUIIIcQIiOuiZVihtV48xPW6E0xbkc6CRqe1OZksm6a+z+0ApZRba+3ZFOvK0AqizyX2o8+RCGcN9zZG/4hVaZJPTYTIsoIjDiPiaaX+0ityXYoQQiSkFDgWf8EMYNrWEwkUuzEHg1hXrcW0YgWRsRWsHTeWZe9+mutShRBCCJGhkinj2erw/Xq6mAkhhBBCCCGEEKPR+D134pTnFnD/904bts5mkbjvI7xIY9J5B7rL4ANagdYh11SClW/o5BuW8yum9gSr7AlCQAPdmfABrf3CaKYUz6SBAC7MdKaM1EEXEfIw0U4IK4oJOFiND6AnZBbdvoddKMaZ4c39a/DSZASZwmhuZxUXMSmu41YVdr5IEBgqwMwpjBlUR6qMjLLbQzSadQR5jGaeTxKa3IHMOkElci6r435OFoNKNv0cStFoGglRhoXWFMfe/hRkVmQCP6YsLmj2Y0qZiI1rqAWgLe7skFoLIW6jN1h1TJIuenUE+Z9xjjiDsn7HZtgfZPXCzwFN6fbb4nC7CAVCtK2ow/vWBmxFxYzZbRq2z95Ju7ZciA2ZASwPh9izYSMA57kK2MNuj3YR64JPg/2DkIn8vbMdBWxtsfKf0nJcGX6u+Yy3iy4dfdP+qag4ZSer/3g7ua7IndF2xJatIxLhMW8XS0JB3vb7WRVOHRBtikTi3jdXFRRxTn72zndCCNHNMmkSpvx8yh97RK4RCiGE2GRorecZf7udYExaBMzPwqonJ5iWbijrgL4TshB8i/VRkm0+PsByo7WuTMR2rOv+432xMd3D0DvajbQSouHGySQ+9jY5EjQTYhgU/uhkvO9/SPuj/8l1KWJLExn9I9yJ0cWybFW/fwyYNtZTWVmexnimQgghhBhtTFYrh91xNRUzp+e6FCGEEEIIIYQQIi3jdp/DoXdczTM/uWpY1m/HxHicrMHLY2xMOe9wXWVxYsIbE2ppjOkQtR4fE41Q0FFU8TdW9Vt+X0rQwOsJ7q9YSmfcz2cxLmHoqx4/bqx4iTABJ1/36YSWSBcRFsYE8/ajlDd7YmG989zEckqwUo2do6lO2EkrmZ1x8yINPT+3JtgLexjPf1GfkOClTEl7O0PhD6QXlBlOQTRf0MX7dPIenWwgdTDzzCx0BevWmUYg6xTcPIgn4WNuLBzEUgAmYGV9itovojKjGhMpj7kCVomJCVjZgwLOIsA7dHI+5WmtJ0CE01nZ83MZZs6jIuG8/6KJEDCbPLZPGfZTNH22st/UQGsnqxZ9wVbjnWhv4q5vufaiL3Vdd3a2c2dnO383Ool9GQwS1hpzisDXhwE/a8PRAOINRe6MQ2YAF8R0Mzs2z9Xz/bWtnn7ztmnNO34fu9sdGW9PbHkiWnNEUz3LEnQfHGs2E9JgVTDObOHKwiJe9Hm5rSM+LP279lYJmgkhss55xOEUzf8FgITMhBBCbHK01vOAedlan1IqWdDnsTRXsXOfnz2ZV9Of1tqTYGCUnRk40DVa68pEd+hPAcuBnbTWQx/haxRQSj0GHGt8X6i1TjxS1CgnQTMhhoFSioqbr8f/+ZcEvl2S63LEFkQF/bkuQWwm7N8tw2SxEEnwAbkQQgghRq9jH7qVbY49ONdlCCGEEEIIIYQQgzLnrOPZ+Mk3fPi3f2d93WYUP2IMd7GGBgYODI3HQQ0OPsAziH5Hqc2kgG/ooIMwFhShmBZZ7phL9mVYMaPIw0QH4Z653qGFQJ+2WrtRzLu0xE07hHLG4ey3/UU08FafeTPxCk1JH2smSDNBxuChADNv0cyBlDGVfEJougiRj6VftzULiknksZIuIHlXuT0pYU9KhvwcMtHV3jnwTMOghRDv08n7dLKYLrpijsi+XexiPcbkQYX9BnIxlfyHFkqxUIwZ0CzqE1R8EE/CmiZg4wLW9vy8mmCCvn1Rv6aavKSPpk+je4Jt3eqIcC0bmU4z51BBIRbepIOHaaGJEIWYKcFMKRZKsVCChTCa2eTxJV14Y57Z/UxKuN0NBHjJ6DD3Y0ozrz8URk2djv7is4zXMZymWRLfZnRLUTELfV5e9Ec7H/6+PXpvWAQG3KsnNUXDpuPMZuZYbRnX9oaxbYCZFmvcY/d09R6z31TWMKNuAwDXt7fynATNxCB8GQr2hMy2sVjZ1mqlwmTm3PwCihIEO7az2mgJR/iXt/d3yT42+4jVK4TYMrhOPYXim29M2clTCCGE2MLMSTL90TSX79s5bDi6a3kgrmV6sppjjda6Mt0ORD9OWrC5hMwMf8cImm3KJGgmxDAxufKovucO1ux/GNon4R8xQvxyrInsUD4/2+wxly9fT9QJVwghhBCjUdnWk5lxzEG5LkMIIYQQQgghhMjIwX+6go2ffsPatxdnfd1WTBxLNY+ynuYB+pZF0LyX3cGA+ZBW3Fg4kkqW0hnXTewNmjmCKgAUil8zDS8hnqaeDkLsRjFPJejE9i4tHEsVjQRoIsjW5DOTxN1RshEyS8SJCQvgJdLzqr4U053sX2xgIk5WEe2ANBYHJ1FDfp/bFE5jDF/Sznd0UoENcxZDUtng7RyZzlIRNMvwG+GyDr4j/rpfMWZ2xoUJeIHkAyG3EI4LMA7VIRRxCEVx0/Ko42ni7/9JFHxb3SfcWYOFDQnegy5M7J3k+B2s91J061tCgMtYN6j1/Y6anu93xcUGgozrc5yuxs9DNPdEAd0JugoORkNjhFKbDUZBN72+JlusPFFazmNdXTwcE5y5rLWF290lXFFYxL4Ndaw2OpTlKZXypvfOSKSnx90Rjrwh3SD/ebD39fpPWQVaa9aGwyyM6cLmAFwmE3bAD6yRQTfFIL3uiwYaD7Y7uLtk4O6RH/r9POKNDyw3hMNorSUQIoTImqLLLpFzihBCCBEvUXe0x7XWnjSX7xuuWpFwrqFZ0Wc7O6WxzGitKxOxI1oNR8e0XNosbryWoJkQw8g2fRplv76Chl9dk+tShBBi0Cre/pBJc7dj5Qdf5LoUIYQQQqShZOoEuYgkhBBCCCGEEGKTZbZaOfbBW/n7Dkfha8n+ALZV2DmRMdzJ6pTzrWN4BvXzEOK/1HE5k+KCZp/Sxme0cwLVTMOFCYUTCyca4ZYIml0p5o0EAxR/SCtnMi7pNr+jg+V0YUP164iWDVZMtA0Q3OsOmQGsw8edrMaKogwbpzAGEwqFYhaFzKIw6zVmg9bZf+26dRDmc7y8Swdv0UFHnz56pZg5lCJ2IZ9naUkaMJuKnWXGsduZtV58yf2UCvaggCARrmJDWsvsTT7nUc7JrIybvhN5/J6xWattDnlJHzMBVVgZg5Ux2BiDlTIstBOhiRDNhFhPkMVGhz2ANTFhuffo5D06saKYgI1qrCzDR22f98ElrOUPjGMcmXXnaly8HNte21GwYjFEhn9/DtbONjs72+z8urCICz1NfB4M0hiJ8FNPMz/Pj38fjzWnDt25YjpAveL3Mb9PqHEwZlp6X+/t6zZQpExsjITj5vmzO9oZ8ShnHo94u2jVGr/W2OVzVZGm14zOefuk2QnvuOaGnt/A21usLA2H+Doc4lW/j/0c/buQCiHEYKmCAkwVFbkuQwghhBg1lFJu+nf+Apif5vKTE0z2DKGkZPp+2OdWSrmTheFGa11DEBuSG47ObDmjtW6NuX+rBFKMGDWKDdShXggxREVn/gjrtCm5LkNsIdQwXCQUWy6FZtLX37LdPjuhTPJPBiGEEGK0Kt1qEj95/zEm7DuXla++N6w3PwkhhEiTSb6G/CWEEEKILVLR+Br2ufqCYVt/JXamGyGUIkxczTQqMgyCZGp9nyBbBAijeYgNLKKR+j6Pf4gnYcjMgmJqikDNcjp5iA18gGdYQmbAgCGzbodSwQVMBKCTMB5CLKOL56iPm+9bOriGJVzDEpak6Eo10obrs5Zb2cixLOdqNvACbf1CZgDb4OQ0ytgKBy/QnnA9W2GnKKaD1lTsw1JvLIViDnnsQj4vMY0/M47nmMokrEmXeYOOfiEzgC/Ibsc4O2buZkJPbLEAE+dTzn1M5DmmcT+TuIGxXEAFR1HMnhRwCEX8kFIuopIbGUNBzB8ld9EIwARsbIMDJ4qg0X3uTTr6hcwAmghzGWvpJNzvsXRtePNrWsbMwjRhYsbrGG4FJhP/V1LOc2W9N7f/qSP+3qnloRAdA4Tluo/Yb0LBlPMNZF9Hb/DHqzUbI2EsQJVxnbPUZOJQZ/S8eUqeq2fef3aNnvONGN1aIxEWG53z0gma+SKRuN/Aj5dV8CPj2PtLR7t8li+EGBKTu4iK/z1L4WWX4Hv5FcJNm9X92UIIkZ5cX8vaHL42T1ckmDZfa51u9685CaYNxy9aT4JpqbqHjda6hrwdrXVbivlEjmy+pwghRgllsVD6i5/nugyxhdCjb0A7sYlTPj/lb3/A7jvOwJqX3qhsQgghhBhZY+ZuxzNnX8XCy27igf1Op31D/cALCSGEEEIIIYQQo9TO55+Ce1L2uhv1NZHoDd6tRFhII/Ux3YoAzmU81VkOn32fcsbj4Egq+XeK7k/v0MIdrO4JWzXgp5nEwYttyWdvSgEIoXmUDfyXjXQZwRbbKLoVYBwO3qCp3/SPaeUpNvIyjdzGSh6OeW3epYXwCHTmSsswBAE0mhdoIwI4UGydJBxWHRPcOiRJx7ebGUeNMZ8l65VGa01FodgWJzZMrOxzvO6Fi2uN7nzJuEnd8SoTE7HzL6ZyBVX8H5M4mmLGYsPCwF2rFIp7mcjkmH2yNQ7+wFj+wnieYioPMJGrqWYbkl8786OHHPKs/2ApSz5rRW2/45DWM9zyVeLzzXizmRDwhtEBKpls9pH8srKGh0vKeKikjMdLy/mysoYTjGBP7Ptjts3ORHN0ynVtrfgl8CPS8LbfRxiYarYwzpL6jOvTmjn1tT0//zjPhV0pznEVYAc+CQZ4MzA8XVSFEFsG68yZtP/tDlqvvpbG035M15NP5rokIYQQIueMrl+X95m8SGt98yBWU5LFkgZrcorHRmtdGdFavwwcCByU7XWPEgcCB2mtV+W6kEyNnk+XhdiMub5/YK5LEFsIpeQDcDE8HJ98wU7bT8t1GUIIIYRIoGTqeGwFvSPw+jwy0I8QQgghhBBCiE2X2Wpl+uHfG7b1F8ZEDd6hJe6xHSikCgd7ZPm+jRdoYA0+/sfgBof5G6vpStI1zG8EWEJoXqWRr+ngE9p43tjGOJxsjSvhsiNtAWv4Ikk3rk9p402aaeoTUFqJl0U08qjRlW1zcx6re77/AW7GJgk3zsTZ8/35lPWLSZVjIQ8TM4z5QmTvJpAQmp+wioNYygNGV6+B7EtBz/fFmPgl1cxIEcYC+CeThlRnMk5M7EchhRkE2dxY+DvjuZYaLqWSPzKOYuPcYUJRjY09KeCUBOeKcixcRiX/x8SeZYYi7PXz7QtfY5o5a8jryrYlwSDja9exbV1vSHS8Ofp6FysT21ujx/W6cOad3Qar0GRid7uDPewO5trsOJXirx3R80+NOX5/XFVY1PP9JZ7BDwIf1JploSDzWprYqW4Drw8QqBObvteMfRzbPS+ZAxo20mEEGLe3WLmuqBiAcrOZU/PyAfhLe5t0NRNCZMwyaRKm/PyenyOtcn1QCCGEABb0+XkxcPwg1zElwTRPRtWklugPUXeK+UdrXRnTWr9sBM42O5vDcxuOAa2EEH1E2uQPOTEytN058ExCZMjx6Ve4ykvobDD+HakUZVPH4y4rZtm7nyZcxl6Yj7umgoLiQlx2K45g9ELx++98NiwjgAohhBBbotqPv2LsbrOp2mEGy154k/Jtpua6JCGEEEIIIYQQYkj8nsShpGyYgBM3FkDhIchEnATRbEs+uxC9CfzNPgG0bAka4TATpN2rq7tDWV/L6eQWluPCTF1MV7ZAzJqPo5o7Wd0vxDXazKSAjfhp7NNdbjFt+InwNR2Mw0E1DurwU4QFxzB0wUomr8AF7Z1ZW9+btLM85rk+3ud4iz0+rmUDNzGG7XFxOqv79cfa3jh+74gJMQ6lm903eHmIZrbHyd9jwmX/ppnTKBtw+V9RzZVU0UWEPEwoFGtTHH/lmFFpdBnLBYVid/JTzjMTJ1ZUz3sbYAETKMj68an41ddLeaB2HQ+XlLGb3QEWC6YJE9EFbvSnHyVezGLBVFkJ7hIi9jyC2oyvI4Cr0Irp43eHXNWBjXX9pq0xQmUn5uVhV9F9+1bAx090PiY18vv63JgA2ZHO+GvpBzl6f37G5+XcYIBZ1vQ6Wt7c1sodne1x5/IfNTfyeWUNbpOM+b050lrzmj/agWxfe+qg2UNdHT3vBQU8XVYR9/gsa7QL5YfBAB8EA+xiS9zVUgghUglv2ICppAT3TTfimf9LnId+P9clCSGEEDmllFoAHBAzaZHWOpNOMe7sVJSRRGGybu6RKiKBVHWJzZQEzYQYAaGN/T9gFWI4hPOKBp5JiAyZgiF2rHLj3Xoi9vYObCvXoFauhJUrGTN9PM3VVZiVwhEMYPW0Y6mrR7W0oZb1D9vuuPdcPn49yUUvIYQQQgzKd8+8ir3wQ3Y8+wR2u/QMVA5u2BBCCCGEEEIIIbKpfcPgOn8NRgEWLmZy6u0n6SKWLREgDzOVWFlJ6g44y/EmnB5EEyRMR0wQzYHigJgwkAUTFzKJa1iSlbozZQUmkccSuhI+/iXtCaNR/pgIxwLWxD12OmMwofgAD9tRyFYDBIKGYuKksZCFY7KVMB/Rzp9oiJtugbgjzoWJ7vhKGLiM9ZxPGc0JQofNhJjPOjqM+X+SRhgsmVdp4wY2AvAu8cG6rQboShZLoXDFBK2+S3GMH2GEOzdVLsxcQw0dhNmbAhRgHobg3Cr83L8+2gXvxOZoAPA/tq0oWLsB2EDh1KlUbFUBCgK+CN5WL521LXStb4K1LdA3PKtg6+/vlDyglqZtLVa+DCUOEs5zFfBtKMhfaOc1v58zW5r4R3Eplj6fXfpiBqY82pE3pHr60lrzvK/3HHpGXv/zxMKyyp7A3HxPC/8rrxxwvSGtub0zcSD6m2AgGgQUm53l4RAbI2HswNwEwbD6cJi6SJh/dHTwpK/3912JyYRSio3hME95u5hgtvDz1t73ZEAGZxVCZMj3yqugNdZtZpB35BHYZszIdUlCCCFEzhghs3NiJs3XWt+c4er6ty8fOam2PVrrEpspCZoJMQIkaCZGgnY4aP1yRa7LEJs56zfLsCaYblmxhooVa/o/kORamvvtD9ht99l89t1qupo82SxRCCGE2PJojb0wn/1vvBSTeeRG8xZCCCGEEEIIIYZL69ranG4/H3PSTmLZ0kWYlYTZnxL2oJRVdPEA66nBzgb8Ga1zBgWU0//m9xKsNOewq5kVU9KQWbd0O7x1u5/1Pd9/RQc12Dmb8VnvjmU2mylcX5fhHun1OZ1cGlNzrL6xxlC/vmVwR0x3sViLjSCiFZhPNftQkHGN/gTb7XYRFUkfS+RrvDyDh+3JoyBJh7XdcHFUTgfjzo65uIZ1/WE017Ch3/RjAt/xDyYwATttyzbQtqz/PElp+Pb5r5h8yO7Yln6G7sysY9+Rzjy+bG/tN73UZKLUbGYPs5lbi4q5vLWFV/w+nvZ2cUxe/OsV+2nmPvbsdnV6JiZkdl2hO+EAXVtZe698zrAmugraXwiwQ7/zQrnJlDCAJDYPr/ujodntbTYcMceST2umb0x8fge4sqCQgNbMre//b5tSk4m9JJgohMiUEVR1HXcc5nnnDDCzEEIIsflRSk0GjgOuoLfb1yJgntZ6KDdTuwecIzs8g9x2qseyyZPDbYtRRPq1CzECgitX5boEsQWIzJhDsKE512UIkba8Dz5hl0iAGXvtmOtShBBCiE1e29paPrn3iVyXIYQQQgghhBBCDFnIH8Czcl1OaziTcRxFJUdQwRSy22Gnr5dp5rcs5T9Eb0DPNGQGsEuSez6OoBJnDm8N6Bp0jCzehUzkKFJ3GdqAP667W7bsvMds/KuSBwjSodH8ok/IrKTP/jAB5ViYiQN3BuMFT8MxpJAZwMEUciVVlBA/kNEc8piaZkezMJr/4eFnrGUR7dxKHdeRODj6Lp3U5jAAuan4M3WsN16n3fuE2n7Capoy7sCoWPH8p6xuK4I5czNaw09c+cyw9A9nVZp6j6Hj81xclF8IwOPe/oHT+7s6er4fa8nuWNl/7WgDoh2lfuwauOvhLKstrfU6lOKx0grm9VnnBfkFmBOE2cSm79NAgBvaoqHKg+xOAFaHQoyvXZcyZLanzc7xeflMTTDPnjY7b5dXDU/BQogtSuvvrs91CUIIIcSwUUq5lVKXK6VuUkotUEotVEp9rJRqAZYDNwHNwM3AFK31gUMMmUHi7l1NQ1znULad6rHRUJfYTElHMyFGgPetd3NdgtjclZTR/P6Xua5CiEEztXdQ8+6HlM2cSmtpCcu+Wk5XY0uuyxJCCCE2SctfeJMdzz4h12UIIYQQQgghhBBDsubNjwgHchs+cWBmB4oIEeH9hIP4RilI0QMqfRroGGIY6zDKcWCmgxD5WKjFx3p8bEchE8njUqZwF6upJ5CFijOzLS6+YvCdk25jVVrz/Y1V/JKpg15/Mu7yEmyffDPk+Nrv2NBv7zbHTCnCxL1MpNC4feNHpHc/1O+o4Sqj09XX+IZYJSgU36OQXcjnSJYB8ARTKOwTPEvmM7q4mY3UDyL4dA6rWcj0jOrdEnxEJy8QDUsdShEXU8FnePkFvWHck1jBfKo4gMKMtuGt9/Ddcx5KZs2gZHwx1vo1RNalF/Y1K8UDJWXs3KdT09eh+HP40c48/tTRxjsBP3XhMJVmM1pr7u/q5Lq23o5oO6cZ9ErHyz4vS0LRY/GnrvRCmH/uaEsrkAawg83GDjYbF+QX8of2Vvxac5JzeLvbbU601tzT1cFjXV3cW1LKGPPovX2tMxLhfE8TQaDKZOYoZx6/bm3h/q7+v88ucBXwt852AGzAre5izm3pve9zF5uNS/ILmWuzb9GhxKDWXNnawopQiHyTiYvzC5gt3QCFyJh30cu5LkEIIcTmY0qiTtADaNBa1w9HMYYDiIbJUvEY/58DaX6oIkSalFJFwNkJHvIQDTku1lqvGsmaRsro/UtdiM2EDgTokqCZGG4FBURWbsh1FUJkzPbtMsqBkjFVfFU6iYbvVua6JCGEEGKTU7PzrFyXIIQQoptSYNpybxgasi34ZishhBBCwJLnXsvp9iNo3qKZN2gmNECMLNGjeZhwYhpCl6HMPEcD0ABAPuae7l4eguxAIa/SFBcy6+6nNbR42+BkEjIbDB8RNBpFdv49mV9UQLjJM6R1vEk7bwzwvFuJ9ITMAM6nggdpIh8z6wiwMcGx9HvGsBMu3JjxGPs6W889D9Ogw1//w8OfGPx9ZVun2SltS/XfmKBrEWbWEWQH8vg7EziX1T2P3cRG9iYf2xA6FzZ/sZrmL1ZjK3IxZdcdiHz+aVrLndrc0PN9iclEcyR6VvllawsX5xdSZTYz0WJhjtXG4mCAG9tb+UNRMWe1NPGqvzcg+XJZJRnc0NjPvZ3tXBMTXgP44QDhsdlWG58EAz21D4bbZOL6ouJBL7el+2Wrh4e80XPjbvUb+bSymhJTeqHWkfYzTzPrwtHz7MZImJ3q+3dp/HGei+uKijmxKfp+mGS2sCEcYpf6jXHz/dldMqpDdSPli2CAR2I6HH4U8HNvSRm7SNhMiIzYdpyT6xKEECJ35Hrc0PT/G+y/GazlWuCaIdeShNb6cUj8YYdSajIwGTgQOAe43Pi78nHg91rrxcNVlxi9lFKFAFrrtiytcjLRjnnJaOO4Wwgs0Fo/maXt5lzmnzIJIdLiffcDdOfwXjQRgtUrce++Q66rEGLIzOs3MmvZcvbZejyz9tmJwpqKXJckhBBCbDJmHHNgrksQQgghhBBCCCGGREcifPff3I7Iv5ROXqFpwJBZIiVYuZQpHE4Vk3AOOH8x1qSP2VFYMwwNdcT04HqLFu5lLV/RETdPhJENmY2UbIXMANYtW41t99lDWsebfV73ZEIxe2M38rmNCfyesdgT3NJxJVXsRLRzkmfI/dayYzG9gYHiBB3Q8jExK0GozAqEs9IXcPNUERNAfIhmLmMtASJMwc5LTIub924as7LNQGsn37y4hDWMwb/9bphmbJNwMJCI1lzT6unpGgbQGhPUerCrk7n1tUysXcd7fj/n5xeggCe8XUzeuL4nZDbLauXBkjKmWZOfD9N1daunX8jsLFc+jhQBtrDWfBKMhnDzZdCTYdMeiXByUwPja9cxvnZdT8is20eB3HXbHMjnweRdVn9dUMSa6rFcV1TM+34/HwT8AKwMh/D3mffZsgoJmRli//0x1WKhQ2vObG4krOX3gRCZyDvi8FyXIIQQQuSE1nqF1nqR1nq+1roYmGc8dBzwsVLqMaWUO4NVZ7JMJpoSTEu17VSPZdNg6xptFgPNSqn9srEyrfUnWmtT7BdQDEwhGnI8AbgFmAs8oZRaqpT6Xja2nWsSNBNiGIQaGll76DF47r6Ptkcez3U5YgthD2QrfC1EbikFlmWrqHj7A3aq28iuu2+f65KEEEKIUW/aoftQOn1SrssQQgghhBBCCCEGTWvNEydfwiNHX8CyF97Es3JdTuupwUENmXXUaCbIl7Tzf6xjJd6E85iAHzGGy5nChAHCaL9iGmMzrCWWP0WkbHT2j8nMvpTwDHW0EB8KaCFIZ4Yd5pZsGHyXLgAvEYJoXqU95XwWYGvsWJLcurGxz3PZhTy+RyHQf7/m8vb8zphaWmLCb/tRwEKm8yRT+SPjmYotbrkv8NEwwt3/skGP0Kt9PhVcRw2zyQOgmTAfGaE+heJ/MWGzp/Cwul+0JXPe2hZWvfAZ37yyitXBKkxT44Nt7wT83NsVH6RMFHuMACc0N/BhwM91hUVxj/2pqJjnyirZ0z70znYbw2Hui6lnhsXKJxXVXF3oTrncJZ6Wnu9PznMNuQ6R2DVtHt4OJD8+S0yj9/a1vxeX9Hw/yWxhF5uNY515rK4aw9n5BT2P/aurI+49oICXyir5urKGNdVj2c4af/7bUtWGQxzT1NsJ8QcOJxr4TaFbYsdCZMAycQJ5hx2a6zKEEEKIUUFrfRfR8I/HmHQc0KKUOi5nRaVWmusCkhitdQ3GsI4ko7Vu1Vqv1Fq/rLV+wgg7lgAHAauARUqps4azhpEgQ6UIMQw6F76C78OP8X36Oco8ej8QE5uZVcvBbIbw6Bi5UIhsUAry3v+Eym2mUff18lyXI4QQQoxaWx8t3cyEEEIIIYQQQmya6r9cwpcPPwfAylffz3E1UICFsxjP17TzLPU9YZ7puNgNNy/SwEZ6O69YIC4m8yQbU65/KnlMMbpR+VJ0o3Ib3c6Op4Y/sTKj5zIVFwdQhgLuZHXCeXalmLdpSfjYcMnDRNcw9FN7jWYAVhDtlNPSJ8A0ASdl2FiPj5kUsCcl/dbR1/oVa5nqLiTkSX/ARz8RjmAZ0P/4iHUvExnXL3jVxe3UU0eILiL9brqvNI4LjeZaNvRMP4wiTMN7D01Kh1LUE4DqdhLFnEV53DRngmhjcBOKFjQQ5K/UU4yZYyhmYhaCoKmYUexGPruRz1+p4xla+TdNzCYPJyasKMZhZa0RSPyYLiYMQ02+hlaap1bHDV8+w2LFpRSdRgeivW12xlss/KurM+E6FnR2cLjDyWl5Lh7o6uTPRcUck8Vg19Vtnp7vHy8tZ64tvdfhSV/vcXtVQVGKOcVQPObtfZ3zlWJ7q43DnU5+2eoBYOwo7vQ1x2ZnTfXYAefbx+7geZ+3518I57kK2DoLnfo2N/d3Rs8RCjjBmcc9ndGAqFdrLNJVUIhBcx58MMo+vP8eEUIIsUU5EhjsTZoNA88ycrTWK5RS+wMfx0x+TCk1X2t9c67qGgRPrgtIwpPrAjYFWutFRENmNwF3KaVWaK1fzXVdmRq9f6kLsQmzTZyAc7ddiHR04P/iq1yXI7YUwQDOydPxLl2V60qEyCqlYEpBHnW5LkQIIYQYxVpWrKV52Wrqv1zK1kcdkOtyhBBCCCGEEEKItDnchUw+cA+USbH8xbdyXQ4QDXfMopBtKeA6lgKwhE6W0Nmv79SlTKaeIH7CfICHZX3CNrH2opjdY8JNu1LMtyQOZZxADQBFWJmBi2+SzJfKKdRgQvEtHf0em0kBx1Ft/KR5ewTvF6nAjgNT0uc+VH0DZt1W42W10WluI35mU4grjVsmLJPHEVqc/jXf2Ahdql5dZ7IKgKNxcz4VtBHiElJ39Gsy1vgRXXwYc6xdQEXa9Q2HvSjgKaPrVhcRnJjITxAqO4cybqWOVUYUwwL8lg3cxFiKR/HtKyE0N7CBN2OO2a/x8Q8mjlgNJ1LCc7SyBD+/ZB1/YTxP0ExzzFG2vbEPhkPdu99Qss9WRJZ8B0Cp2cxf3CW84PNySp6LnYxg105WGxe39oZXP6qo5uTmBpaGQjzj8/J8WQW/KyrOen3rwr2vw5w0O0cFdHzIUUnIZUR8XTUGgK5IpCdoVhsOUWXetHtsHpfn4khnHj6tKRjFHdpyzWG8zzTwiBFAnGS2cIxz+M5fQmzOgitXEmlvp/PRxyk464xclyOEEGLTt1xrvcnf9K61XqyUmg/cFDP5JqUUm0jYTGzitNbzlVKTgbuAaQPNP1qN3k/qhNiEOXffhbFPP0rbI09Q99NLcl2O2II4KkskaCY2S46PPqNk8gSaV6zNdSlCCCHEqNS0ZBVv3vB3gp1eCZoJIYQQQgghhNikFI2r5kcv3Uugo5PfF8zJdTlxTCiOoJKnY4ZCiw0R/ZxJOLEwwbjsHg2ZJQ+avUkL21HU09VpAk7G4WAtvrj5zmY8pTGdrrwZdv/q7nCVqMvazhQRIMJqvMyleESDZidQw59YMWLb62ZG4cBEp9FJ7l7WciGTBlwukD+4m99/G9NpLB0v0koBZkxoKrBQnyKetjUOwmiuZH3PtO9TiDWH3cy6uYzj2pUgYAbRLmwTsHM3E3mHdq6mlhCwkgDzWM0CJozKsNnndHEDtTT16UA4HF35UqnEyvEU8wgtfG2cM+6nCW9MR7hzWc1Cpg9TBYpmvyuuq9lBDicHOZxxcx2T56I5EuG69lYAPgj4WRrqPaYtGR6rXwcDrAuHsSVZvtJk5gujs9vfOtrT2sqb/t5z73NluQ1rbonyYsJYr/n9zE6zC91oZlUKqwQWUzo5z8U/OttpM4KeJmBBcSmFEs4TIiOhZcvoevoZWq+/QYJmQgghRAyt9c1KqXnA5JjJNxkdph4fYHFPgmmlWSsuc54E00ZDXSKx3wMfKqV20Fp/mutiMjH6PqUTYjNimz411yWILYytvR5LcRGhltZclyJEVikF48dVStBMCCGESGLdu59wwE2XsWLRu7kuRQghhBBCCCGEyIgt34V74hg8q9YPPPMImkMRM8hnCZ28ShMhIuxFCTvj7glydfP2CaL0VYI1LhCkUJzJOIJo2gnyPq3MpIAxOOKWs/frozawKTGdjSqxsaZPmA00N7Cs5ycHCh+a4bIvJcymiHwsfEIrQWNb8xjPAtZkbTupnsdVTEWh+CsraSaILc3X9eslq9h+Qg3+1ekFyOpigmL3MZGx2DicpUnr6kLzAE0AmKEnKHQIS/pFzvaggG9i9uWhFPFzKtOqK9d+zQbsKHbExZ7kU4SZVuM900KYP1LHbxkzIrVoNM/Sio8Ix8d0GYzVQoi7aWQhbUD05hpLzPHVTIgIut95YDjtRyGPEO0W9hGd7EMBLxj1jYS6976hZFYZkcbGlPP9JL+ADwJ+XvD7ON/THPfYJ8EA48zmuJDRQBb5vJzZ0pT2/Ld2DP41mWmxDnqZTUFQa37d5mGs2cxPXAU93aRGko7pHFcas99XxQQQPwz4R7QmkTuVZjPPl1XyYFcnL/q9XJZfyNbWzfP9J8RICK1chXWrrVBO58AzCyGEEFuem4AFfabdrZRapLX25KCedDQPPEtOjNa6Ri2js54CdgI+zXE5GZHhQIQYRrZpU8EieU4xglavoLRYY62QkLrYvGgNtXXyb1UhhBAimfYN9RTUVOBwF+S6FCGEEBD91FW+hvYlhBBCiC1S1Q4zcl1CQk7MbE8hFzOJy5jCLhQnDJeUxMTItsLF0VRRjBUHJmZRwInU4Cb+ZmqFwoaJUuwcSgXj6X+T6BFUMjHB9L62IZ8zGMtFTOQEanqmH05Vv3k3EH9T/3CGzMbgYAeKKMKKGdUTMgPSDpkluuLat4uXG0vK57ESLy/RQLPR9Wgi6XUqa9rYwNv1zTi22yqt+a+kGqdR29PGYNPPMI2TKR5w2TBwPRs4imUJ+5qZoCeUBnAghWnVNBp0EWEuLtYSoBAzp/cZdPs9OrmCdQSGsVNYPUH+Ryvnsoa/Us9dNPJQn3ulwmiexsMZrGIhbShgDFb2poBdcXGqEUwLA20DhEuzbTJ2jjWOo/tp4lKquI1xcfMcHRMgzbay2VMHDJl1u66oOOGfdpe3trBz3QZOaKpnj/paHuvqHHBdsSGzmRZrwq/pZktPLz1Hml+x1GbaherbUJAHuzq5ub2N7zfU8Z4/t4Gupkj0/X1EYx17N/R22zzYsekGJBrDYdojI9vhcFM3zmJhfmERr5RXcahzcF1DhRB9aE2kuRnLVBkMXwixhcr1tazN4Wvz9miCaW7gigGWG6kbVd0JpnlSzD9a6xIJKKUmGd+6c1nHUEgCRohhZMp34dp/XzpfXJTrUsSWpLkR1zZz8dSnP6qbEKOZ1tC451zqXv8o16UIIYQQo1LNTjMZu/tsuhpbmHrI3rkuRwghhBBCCCGEyNjMU37At09tetfVAkTwE2Y2hTgxM4U8yrEDsH0WgkAuLPyYcSylk3+TvOPb0VRhTXCXUDk2XJjojAnw1DNyYYMJOOICdrMo4EUaBrWOENFuX92xnum4OJ5qXqWJd4wOT54E0aztKOBz2gF4gHU90+2Y2Jf0B270e310FBWkdYPFFOxcRhW/pZYn8VCDlaMo5kzKOZNyHqaJB2nGmyQU9xodSdf9G9azxgjKQTR4tKn4DdUsx8/eRAdKOoQiluHnf7T2zPMRXTxFCycMYt+k6zt8/IK1/V73e2nEDPwAN6vx80fqWEUAgGnYuYgKtu4T9HyOVjyEaSKMe4RvuzkKN0/Qwrf42ECArXHyEJM4mZUAdAxTUC9/QgXlqinttVeZzdxXXMrpMSGx0/Nc3N/VSTvwXiD6Gt/Y3spxzry0g17/K89eB7/xtesGnikL3vb7uKm9lZCGSwsK2X8EQ1WTzL3H54pwiBOaGzjJmceVhW7cg+gqNxRKKSzQc4a+s6OdT4PBuHlOzHMNuB5PJEJIa8rM5n6PvebzcVpLI7e7SzhiBIJLnZEI//N5ecLbxTsBP2PNZl4vr8K6mQYWhRCjk2X6dGzbb4e5uhrHHrvluhwhhBBi1NFae5RSi4AD+jx0uVLq9ym6miWbPhJShck8I1VEAtIlYvDmABpYketCMrX5Z1GFyLGC44/JdQliC2S1y+ldbD6CW0/lcwmZCSGEEEnNPPkH7PObC3jjd3cyab9dc12OEEIIIYQQQgiRsa2O2B9nqTvXZQzKSrq4gWXcykr+zCpeoIG3jOBTtk3DxVH0D1lUYuVMxiUMmUG0Q9M+fYI7nxjhq5HwTp/7YPKxcB4T2IFCZpDfb34FjMXOiVTHTe8OmZlRnEQNVky0EOy3fKyx/foWdddgwj7I2yXW16YfjtubAo40Biy+h0bejgmPnUQpdzJhUNvuFhsyu5mx5G0Ct3zcRQMHsoTjWcEbtOM0arag+DmVlBIfGkl2HA/VP2lKGu67m0aOZBkXsbYnZAbwR8b1C5kBlBjhsqaEfeeGVxVWtjWO63uJdhcr69MpcTiMm5ZPpHbDoJYZY7Zgi/n5/gTdyxoiEdaGk3eGG4lOUfvbE58nsuVxbxefBoN8GQryf13Jg6TDIT9BmOxhbxf7NWzkbb9v0Otrj0RoSrG/kplu6T1Gf9/eGy5dXjWGNdVjcQwQ0GoIh9mubgNz6mv5KhiIe8ynNae1RN8LP/U0E9TD16HzxrZWxteuY059LZe2tvBOIBraXhcOD2NfUCGESMy53/coufUPtFz1G5yHHJLrcoQQQojRanGS6SekWCZRqMo99FLS4knx2GitSyR2k/F/CZoJIRJzHbw/eQd8L9dliC2MuaU+1yUIkTXe0uJclyCEEEKMal88+AxPn3klk/bbFbN1+G8qEUIIIYQQQgghhovFbuP7f/kVFufw3vQ/VF/SzkOs5x2aedUIesT6jDZW0sl6fASy3F1oB4q4mmmcxTiKsTCVPM5mIuMThGEAWghyOyv53yA7iGVb39ehEjtHUcWJ1PBrpvFDxnAyNRxMOVcxlZ8wgRkUcBVT45a7mIn8iqmYiIYSxiUJkkG0k9t7SUN/ikYC6EFEA9YtW425qCDt+c+jnD3Ix4fmGjZwE7UsIRrsGION2xg36HjQ8bj5AUVcRTWzGf6uPel6nXbmsZp7aORWNvKmEWRcRBuPxeyDd+gfNGoiPrTSxuBDLOn4HvH7rjgm4JYs4vJn6hJO7w7HNecgaAbwUyowAa/TwftGiHEPejtCHcgSIlmNvWj0qpVpzx3QmqtbWzigsY7AwLNTlKKz1qsxYag/FGXvmuG/YwJfu9uGtzNgpan3WDszr3+4drhNs/R2NbvdXcJUi4XGSIQLPc14BhHk80QiHNxYx5z6Wg5o2MiFLU3c3tHGO34feoBw13EJuozNtFjT7gB2QlPv77BDGuv5WUtzT+Bs+sb4Tp8XGc/Lq7P3+3d5KMjPPM3c0Rk9t3m1jusWt5fNjk26mQkhRpj3xRdpueJX6IAf26yZuS5HCCGEGK0+TDL9+BTLeIahjkRKEkxbnmJ+zzDV0ddg6xIxlFKFSqkXgcnGJAmaCSESMzkc1PzrHgpPTvU7SYgsyS+Arbcl6O4/mqUQmypH+8iO7CeEEEJsamo//orvnn6FrY7YL9elCCGEEEIIIYQQQ7bdqUdw+iv3j+rOZq/TxETyaCXE5CRhn/tZz92s4T9szPr2FYpxOPkZk/khY7EkjcnAe7TQkqMwTKwbWMY1LOFF6ukgRDAmeGZGMRUXW5HPbhRjjrmNwYTq6do1h0Lc2HpCZgBzKeYgyqiM65sU1UAgaRCoiSC3s4p/s37AsJnd6WDqzGnstvdOKHP6t1iYUfyKao4lGo5ZRDsXsoZ3jGDQ1jj5HWNS7L3+jqaYn1HJPqQfeBtOGs0LtPI7almBn4dp5gXauI5afs16vqArbv5rqem3DmufV2AhbXxMZ1YDZ1/QxY0x78ULqcAfs981kJdgT7xOO6/RFjeti0hPJ7P2YQrFDWQqDo4xjqv7aUKjuYSquHluJ5sDkyrUmLFpz31HRzv3Jehelshsq5VCpXjP7+fBrg4e6eqkIaZj1l87el//RGGlTPy1vY0rWj0AFCrFWa7hDX+d7crn8oJCri908z1H4lDwcPpvaUXP9z/1NHO4I/o6NkYibFe3gSfS2Ff1Rkex7s5dS0Ih/uvzcnN7Gyc1N/L9xno6UoTWTnW5KI0JFB7ucPJcWUXS+WO94vOyPBx/Ln/S18UhjfXsUV/bb/7nfF62q9vAYY31dA6xI15bJML42nV8r6GOJ72957OrCop4rbySHYyB38aYzclWIYQQwya0chWd/36QvEMPzXUpQgghxGiWLORzQIplEoXTEoWvhsqdYFqirmXdRmtdgp6A2WXASqLHlwYe11q3pV5y9LIMPIsQYqiU2UzFLTfQ/tQzaK9v4AWEyIQrn4YmRWTd0lxXIkRW2ZYsx2SxEAnl/kK4EEIIMZoVjq0aeCYhhBBCCCGEEGITMHbXHdjrynN56dIbc11KP34ijMfJp7RyMmNwY+W1FPdafEsHLQQpHnTvquyoTtHxKxfexUMdftoI81MmDji/CcUFTGI9XqbGdGzqZkGxOyWE0dTRNOh6ltFFMwFKSdzRSCnFLjYr4S+j198Ge6XCiuJcytmLfB6kmQ/o5HfU8jfGMwk7c3DxJFO4jXpeNrqApfI2HRxF9ro6ZcpLhMdp4YEUr/l7dHIR5T0/3854tkpwPBZhpjHmla0jxC9ZTzFm7mIC7izc1nI98WGUidhwoOJicF1oTsbNQzEDhIeA69lIIyGOo4ROwlzJelYQwIWJ3Rj57lTdTqKEZ/GwFD8f0sVcXLzANL5P9Fh9hlYuInuDk4YKStMeybosSYeyea58FnRGg5ZHOZw85fOyLBTihvbWnukQ7XT1v/Jo7Utirg92aE3RELtG1YXD3BITXnutvArTMHeiKjWb+Wl+4bBuI5V8k4lyk4kGI3T1p474e9xuam/j2Lz+59dYO8UEun5TUMQki4VvQ0G+CQZ52uflm1CQR7ydnOVKHIJ1KhOLK6pZHw7ToiPMtFhRabzuWmt+5on+jnUrE14dwR/z+NqYUOILZRV8v7E3YLksFOIvHW1cWegecDvJtj2zbkO/6ee48jknP/o8Z1ptfBoM8ozPy80ZbUUIIYbOPKZ/kF8IIYQQPTzJHlBKubXWiR5PFE5zZ6meWIlCYotTzD9a68oqpdR+wIFDWMVkoiGveUqpoawnHW5jezvRuy+6/9jVwPxh3v6wkqCZECNE2Ww4d9mZrtfezHUpYnNlMhGRIKPYDCl/gPGzt2fVh1/kuhQhhBBiVCuoSW8EWCGEEEIIIYQQYlMw+YDdcl1CP9/QwSNEbzqvxI7bCI8dRBkv0Zh0ueGNMKQ2k3y+II/lfTpL2VDUYGcVI39taQVeHJiIoOO6kyXjwsz0AQI9n8V0nTqGqkF1knuFZo6nOuFjWmvCrQMHwAayLU6uo4arWM9HdHE9tdzGeJyYcGHml1TzFV42DhBl+5CunAfNluLj16ynKY1uXlNw8BRTaCbMuARd5wDmUd4vCAbQQpj/o4mLsxCWOpES7qCh5+eHaeZiKnmJVt6it5vTQ0nuP/sHjRxIAb+mlm/wkY+JGxnL2CTPaSQUYeYQingSDy/RylxcmPu8n+6lkTMpy8r2Gle2UGEyQRodok7Kc3Flm6ff9L3sjp5A2YfBAADtWseFzAC+DAUZX7uu3/L7Nmzkk8qh3Uz/c09vMPiZ0grKtpBOVG+UV3FcUwNfh4LsbLMx12qnQ0fwazgmL3WnuLCO7/r4uLeL58sq2N/ozjans51r2lq5tq2Vwxx5VCV5TZVSjLVYSL83HiwPh2g1tv9sWQX5JsXqUIjHvV380+jEtqPVxj9Lysg3mfigopq5MaG4piF0NHvB1/v78WhnHn9x97/X8kxXPv/q6qRTa74OBtjGmrtzghBiy2WuSfzvWCGEEGJToJRaAJxANKSzGJivtV6UxU2k6sRVQoIgmtZ6cYKBMUakc5jWOlkHtlFb1zDYkcQBLZ1gWjIKOC475aS9vW7ddZ6rtV41gjVkXboDDgkhsqDwlBNzXYLYjGmvF5Mj8WiLQmzqJjQ1oJKMfiiEEEIIcLgLseWnHnVWCCGEEEIIIYTYlFTM2opxe8zJdRkABIiwiMaekBlAHX58RtBmd0o4kRom4oxbzoriJ4zDjZUgEToI8Q4tPE0dr9JILT7Cg7pHIt5trOQalvAXVvIwG7iHNTxPPf+hlpdpJILGgolTGcM5jO9Zrhgzu1OSk5DZVJxUYqMEa1ohs3RoNE0EASjEMqiQGcBXtBMkjE6yLyyl7qGWCIAZxS+oogQzqwnwBzbGbbMijXGCfxrTISxX/kVTWiEzgK1x4MKcNGQGsDPJQy7P04qXzIMi3Y6mmONiAno+NLuRT32aPerCwI9YxTf4KMDEzYxN2J1tpO1NtKvSp3h7ziWXxQTzHqKZQBZeP4CWr1bDDnPTmteiFG+UVzHV0ntMv11exfYxIZz1Rieqfex2LnSl1xluKKEhrTUrQ0HeCkT7YZ3jymeSxcKz3i4awukdz5syl8nE/8oqWF41hsdLK7i8sIjrioq5yV3MLrbU9xiYleKUmI5nX4eCTNi4nuOa6hlfu45r2lp7HjuvZfCdJVOxxPyecChFicnMbJud3xa6eau8iu+qaniyrIJ84zpyldnMfcWlPcu0DeGYmW3rPV6nWfqfnyNac11MoLJIrmULIXLEMmZMrksQQgghMqKUegw4h95g0xxgoVJq8giV4E7xmKfPz8NRU991phPm8gywjmzIpK6s0Vr/QWttAoqBKUS7m80H7gZWEg11dX/R52dFb9Cr7/Th+sLYZux2f6m1vjs7r0juSEczIUZQ/hGHkvfYfnQtfCXXpYjNkCoowGJ1EqhtGHhmITYxljUbmLLLHJa9+2muSxFCCCFGpdLpE3NdghBCiFgmFf0SmZHXTgghhBBEO58cevtv+OdBZ9LVkGrw4eETQfM6TbxDC8E+ISQ7JhxEu7Z0EqIeP9tQwOmMRaHwEcaGCROKVXTxf/TvzvM6zcyhiCMy7NjUHa5qIUiL8f3amPDYNFxGzyxFDQ4uYzLf0sG25HPTyN4jwjgcHEw5NkyswcsMIyCTDSE0VhQBNG1pBodiKeBPrMSBme0oZCYFlBnBKFdhAWZ3IaEmT1ZqLcHC1dRwKWt5kw7+TTM/JBqKuJYafsLqpCGuAykgRPT5xoYvRtoG41hL5XCKOJ/ytDvWJWNG4SOCMwtjKM+jnFoCvE0ns41Q6FoCaS/vRWMDbmYsU0dByAxgKxyYgFbCLKKNgyniYIoIoPkr9QCcwSr+naX7ztYuXsc4mw0CA79uEy0WXimv6jf9k4pq/uvrYmM4zGGOPLa32fBpTWNE85C3M8GahqYtEuH+zg7+r6uDhpjQUUM4zC71tXRqTZnJxEcV1Zj6jwy/WVFKZXyT2I1FxVyWX8icmG5hHyQ4Drp05uHpRO7p7O0o2R6JUGF0SzMpxfgE4S+AfNV7vphutWa87SqzmdPzXNzf1clf2tsYZ7bgVIq97Q4awmHeC/h5zR8NLlaaTFSZtozueEKI0UU5HJglaCaE2JLJ9bihyf1rl6zj1HxgXpa2karjV6oPxz4CDoj52Z2VagxKqUTrW5zGoqO1rqzTWrcCrUTDZS93T1dKFQEnEg0pzqF/p7PY8Ndwiw2bASwC5mmtV47AtoedBM2EGEHKbKb6vr9T+8Of0PXaG7kuR2xG1NjxNLdoArV1uS5FiGEzpqmJZbkuQgghhBilSrealOsShBBCCCGEEEKIrKvaYQY/fu2f3L/f6XTWNY7otkNoHmAda/D2TDucSl6iAT8RSui9ef0dWmglRAlWavFTg6MnhAbwDR1Jt9OVQTCqWzk2GlIEZfreLpSPhZ1w4x3CNjPVTogxOFAoKkjdPWewrJg4lbH8m/UEiLAnJazHx0q60lpeA11E6CLCazRRi4+TGcOYyeOYHgzhX74ma7UuxcfztDIGK6sJcj9N3E8TP6KE0yjjQSZxcJKrIQtpZyHtHIOb86jIWk0AXiJ8ThelWDCjuJ06NhJiLnmcSwX2mKDXOZRxPRvp7NMp6x9MYEKG+3Y/CniFaKCke+jp/SngLMoozuJtLQXG+/IBmukiEnfHUTUWagd4bxyLe9SEzCDaNfEQiniOVv5BIwdRiEJxOO6eoFk9IZbhy0rdXbXN6B/siPr43YzXUWo2c6YrPmjqUIpLCwrjgma/L3RzqtHpbHxt/6DuQFaHQvyrq4OHujppM8JPdmBbq41dbXbuiAkwNUYivBfws7t99Ozb0ajMbOap0nIe7urkYW//8+vP8gu4JL8wa9s7tamBN40OdAAHNtaxonpsymWe93qZ5+ntqnbRIOrRWvOXjnZWhII4lYkvggG+DEWDtX7gQk/y0PvdxWWYN/OgohBidLJMnYqSjopCCCE2QUqpOSkezmaXLneyB7TWnhTLLSQ+0IVSarLWOlsjNyV6jgvTWG601jVijADaXcBdxnF0NzCb+GCZJhpSG+7RyzxEA4sLgUeN2jYbEjQTYoSZ7Haq77+LtYccReDrb3NdjtgcbD2Thq/WE27P/ghvQowmlhWrmbjzdqz68MtclyKEEEKMOhI0E0IIIYQQQgixuSrfZio/fu0B/r7DUYT96XcfGqqldMSFzADepwW/Ea45ld7OAVPI4y1a0EBhgkvw1SnCN0fSv+NPus5iHDeyPOnjfQNdGs0bNPMaTUmWGD4eQlzLUg6hnF0ozvr6J+DkCqYQIdoF6wlqB1wmme/oZOLs6YxbspZAp3fgBdIURvM7ahN2BPsnzTxMM5f3OR6qsLCxT/jpP3hoJcwvqMKchc5mXUQ4Mkm47VnaaCbMtTHH+87k8yCTuYS1LCcaAjmX8oxDZgDHU8wrtHMWZfyAImwobFnoYtbXdjh5gTYAHscDgAmoxMpfGMtSfKwgwL00cR7l3EMj/pj7lM6gPOs1DdUPKeFFWvEQ5gu8bEceEO0q9wzR+5vOYw1/ZRwzjE5uQ7H2wzWMd9rB7x945kHo7lTVbTd7ZsfT+nCIOzva+VdXbxRymsXChfmFHOpwYlOKkNZxQTOAr0NBCZqlYY7NzhybnZPzXNSGw+xmt1M8DJ283vD74kJmACFgodfLgc7Ex/HnwUBcyOwfxaXYBxH+esTbxR872vpNH2s2U20y82Gw998gNqDMZKbGbOaaIjezLJl3ThNCiKGwTp+W6xKEEEKITHlSPJat0BQkD60NtI3HgZsSrGs4A12PprHcaK0rJ7TWi4EdlVKXAzcSHzY7Tmv9Sm4q2zzIcAZC5IApz4n7Jz/OdRliczBrR+o/XiEhM7HFGBscuZsIhBBCiE1JmQTNhBBCCCGEEEJsxsq2nsLMEw8d0W1OIo/JRmCjW73RPUwR7dDVbTIuTmMsx1NNfoKg2Q4UcRbjmNCno9B+lOIk8xv0g3H3ThAXOirCEteFah1eHmAdr9LUZ6mR9TpN6GGqQKF6XoMjqGR/SjNe168+eZFIFkNmAAtpYwNBijBzKZVczxh+QFHP40HgejbGLXMUbk5JEMx7mXb+TN2Qa3qSlqQhs27emP0VRhNCsxp/T8gM4JmY+8OW4+di1vDQIAaNnoqDhUznJErIxzwsITOAfenf3WgiNkJEOIGVXMdGdiOfGxnDW3TEhcx+SSUqC8G+bCvDyi64APgHjT3vr5MoiZvvItZm5b3nrWuBmbOHvJ5Etrb0nj8Pbqjjbx1tdEV6O+cle/W7IhH+r6Odwxvq2KN+Iw8YIbN97HbuKS5lYVklRznzsBmhI4tSnG10S+v2eUCuQQ7GbJudQ515wxIy+22bhx8293YxPcLRGyw7y9PENrXrGG987VEXDRW3RMI80NnbPXRxRTUHOdIPVv6mtYXLW1vipt3mLuH9iireqajme47e399zrDa+rhrDe5XV/Kesgu2sNpR0MxNC5Ih12tRclyCEEEJkZIAOXH2DVEOxc5Lpj6dayKivb40HZqWiqL51LR6gwxoweuvKNa31zcC5JP/oQGRAgmZC5EjB0Ueg8vIGnlGIJPQOu1D31pfoYGjgmYXYTNi++JZyuZFeCCGE6GfMLtvnugQhhBBCCCGEEGJY7XT+KSO6PQdmTmMsv2IqlzMl7rHtKOzXLWwg43ByAjVMiOko1M7QrvF0Eo77ORwTItmGAgACRFhIA/9gLSvJbnAqE11EWI9v2LdjxcRelHIUlexFCT9j4qCWz8vyrRQ+ItxFAxANNu1FPnNx8TMq+XGKQNzfaeRBesMPsTHG7s5cmVqCjzuMmgAOoZC/MZ6fU9kzbRw2rqMGgGX4OJkVHMJS7oxZDuAYIwyn0ZzLar7Cx7004hniMZ5tVhS3MDZu2goCNBjvJT+aq1jHfNbzOV4UsCsubmQM+8eEAgfjLdp5nfaBZxyCE41Q2Tf4es4KJQlCr/4shTzXf74RzNkPGD1bWsFZeS52strwAze1t3FcU++xpoGd6zZwQMNGzmpu5BJPMz/3NLNr/UZ+097KZ6EgEWB7i5WHSsr4Z0k5BzqcmBKEgC7IL4j7+Smfl86YUJvIDa01d8cExm4qKuY2dwknOHvvremImX9tJMz42nVsX1fLo94uAGZarJQN8vj8v67+A/te6GlmQziM1pp3Yjr4LQ4GWBrq35lSCCFywbZzsnvnhRBCiE1Cd2DKY/x/MbDjACG0wTogyfRH0li2bxgt2boy0XddCwax7GitK6e01ncBf8h1HZuT/p8sCSFGhCnfhX2brfB99EmuSxGbIDVxMnWvybEjtjxKweSyIhq+y3UlQgghxOhRvu00isZV57oMIYQQQgghhBBiWI3ZeRZmm5VwYGRv7rZiwgr8kimswkspVsoHGTLr9h82sjom7NU6xBBOFXaOoYr/xHTBOoFqIsDWuPiKdh6jdkjbyLZq7IMO6Q3FDjHhoPOZwF2sIZRG2OawDENFydxJPe1EQyyf4eUolgNQipmdcVGEiVYGDrlcSRXXxezvT+liBzIb3PSdmLiGGajCwvXUsoHoe2wyNm5hHHYUXYS5hLU93c2+wcdhFOFAsS1O9iSfLiK82if8VjSEjn0DaSPMf/HgJcIPKY0LB2o0EaCOIE/TylxczDFep+3J4zRKeCBJx7WNMQFOJyaW4eev1GNHYceEDdXzvR1FLUEcmJiCPW4eG4p2ItxLtDNTAyGOS9CdLhusMQN2h9FYUFhQ3Ml4zmNNz2Of0cUu5CdaxaB0rKlHHTIb/elHGS3/4+ZGvggGuLO4lLm23vOBzWTi6qJitNY87u3iujYPX/YJ9NRFItRFIiwJxZ8/zdCz537vLmam1ZayhhKTGTvE9OWDxkgEl0nG686lb2L2968KiqgwmTi8qZ7Pg+n/7v9l4eDP3391l3CRp/854eimBuYXFPJWoPdIOczhZIbFOuhtCCFEtqmiIuw775TrMoQQQoihWEC0e9l8IyQ0HOYkmLZCa704jWUfAS6PXZdSyj3UDl9KKXeCuh4dxCpGa105p7Wer5T6Ra7r2FxI0EyIHLJtM0OCZiIjkaJSYF2uyxAiJ5zrR9dFcSGEECLXxu+Z6HMxIYQQQgghhBBi86JMJqp2mMH6Dz7PyfYdmNl6iAGNvp28Shj6jerbUUgHIV4ywizdncwAnowJJOVaNTbOZDzWLHcKG4wK7JzLBN6mmY346SBEJ+G4eNeO5HEF1VkPSP0vSfexJsJpdyYrwsS25MWF0q5kPfcwkepBHksr8PNQTNAqDNzXJ3j1W8bQRYRLWMsqAnGPTcbGxVRSS5AFNHAPjawnPghiAhT9O0lly6mswGcE3x6L6frmRPUE4ro9QQuPMhkXJr7B1+/5JNNFhK40AoAAi+lK+fgCGijAxMFZDjECfGWcWyZgwx7zHpuKg0eZzAnGIPFXsYGFTM/KNr1hK44MlmsKh3jFH633uKYG9rM7mGW1ckF+IQ6j85hSiuPzXMy22divoS5u+WsL3Uy2WFgTCtGuIwQ0bG21UgDc1tnBHKttwJAZQEjruJDZbwqKmGCRW6hybUVMgPAxb2dPoNCpFKfnuTjc4eT9QIA7O9tpiOlAt7PVxo9c+Uy1WNLa/30d5czjKGcenkgEC7BN3Yaex25qj56OOjrtAAEAAElEQVSj85TiP6XlbJPB+oUQYjjYd94JZZXgqxBCiE3aXRhBM+P7rFJKnZPkoXnpLK+1XqyUWkR8l68D6N9RbLD6dg17fDAhsdFa1yjyB+CyXBexOZBPSYTIoYobrwOlaLv/37kuRWxiwib5oEBsuVRn6gt1QgghxBZHDd8NO0IIITKkFJjk/Jwx+d0mhBBCiCR+tPA+njp9Pt8+tSjXpWTEjZWNMdGG7SjMynp3o5gaHJQSf/N7Op27RkoDAa5nGecxgcoR7GjWVxk2jqSq52cfYe5gNW1Gd7np2AkSgTSDZp2EWUwXfjSTsTO5z3Nbjp//xoSgABSwLQ6+w08wyT7aExdv0Rk37VdUU4KFx5nKCvzMYzVBNHdQzzXUYE4z1NVFhPNZ3S8+5UAxGTtnUcYsnCgUD9KUMJS1ggBv0M4N1Mb0/4pXhoVmQpRgoYsI6wlQhZWCLIT4bqK2J2TWV9+QWbf5rGNlkoBZCWa2wsExuJmOEz8R/Gj8RAig8aMJEMGHNn7unb4aP+1EqMJKwJgeiJn/45gA2h+pIw8Te8UEQrNhhXFeqUwQOCyMeb1PpSRr2wwHku355D4I+DmuqSFu2it+H6/4ffylo51HS8rZ1d77HppqsTLLYuULo8vV/PxCznAZgd+Yt5pXR/hRcyPfBINMMFtYEQoyeYCOUxaluN1dwr2dHfzA6eQnruzuE5GZ79kd2IAAsCQUwqkUp+W5ONdVQKk5eizPstk505XPnzraWB0KcWyei71tdlQWPktwGx3tVlaN4dTmRt4xOpnVmMw8XlrOWAkjCiFGFfkMVQgh5HrcEOX4epzW2qOUuhm4XCm1QGudVgBsEOYnmLZIaz2YDxbnAx/H/HwiQw90XZFgG4M1WusaDT7IdQGbC/kLWIgcUlYrFX+4Hsf2s2i89gYiremNVie2cJOn0fzmp7muQojc6egceB4hhBBiC+JtbBl4JiGEEEIIIYQQYjNgL8znhCdu44Pb/8Wrv/kr/tb2XJc0KDtRxLPUA1CNnaosBa4UionkpTVvPmY6kkaDhk93j5o7Wc1vmIZplNwY68DM2YznflstlkCQh2jhIVq4mAr2oxBnig5sb9DOb6mNm3YixUzGzid04UPzBu39Al0a+BIfY7FyH5OSrv9AlvR8vxU2ZuPq+XkydhYwgXNZzXt08jDNnErpgM9Xozmdlf2OgPMp5yjc/TqQ7UI+99HUbz3FmPs9977qCfEUHqZj59qYef/JJKqG0M1vGT4Wkfq9/3fjtYkVGzLblwJm42R78qjB2u9552Wp894rtMUFzSLADdRyCxa2xZmVbQA9Xdc+oJOrWE8BJvIxU4iZ/Jjnsk8WA26hQGjgmWK87PNyRkv8sXSeq4DGSJinvV34gROaG3iurIJZMR2jniuvHHDdt7S38UEgun8f8nbySTDAS2ksd4QzjyOc6Z07xchwmUw8UlrONW0edrHZOddVQJm5fzjVpBSXFmS/O2A3s1I8XFrOG34fnRHNPnY7eabcdeQUQohEIi3NA88khBBCjHJa6/lKqeOAc5RSH2uts9LZzOhmNrnPZA9w/CDrW6yUehw4zph0nFJqstZ6RYZ1zQHmxEy6K5N1jda6RokVSCI/K+SvYCFyTClF0Y9OZsK7r1Jw4nEDLyC2aHr7nWhe14EODe6DeyE2JyoQwmSVrLwQQgjRrb22YeCZhBBCCCGEEEKIzYQymdjlotO4cOlL7HjuSahN6MbvHSniRGo4nAp+yJhhD1slCknlImTW1+jpswZ2p4Mj9tyFIwMuNtJ7/e3P1PcLKvX1Hb5+056ghd+zkRdo4zUjZDaHPP7IWF5iGv/HxJ556wgR6BdDS+wsyvtNm4ydA4yueOsJprWel/Dg6XMMHEYBR1PcL2wFMAU711MTN80KtKR5HD1Ec1zIDOB0VtKYZr2JFKcxnnI45iizoaiIWaYAE7+imkNxMwZbwuedLc/Q2m9aCPgkJnyWDa6Y9/r7dLKIdp7CwwM0cQe9nx2mu9/SEfIObh+WmfqHha4oLOJWdwnPlvWGwg5rrOerYOLOc+n6NpT58SVyb0ebnWfKKrmq0J0wZDaS9rY7OMTplJCZEGJUCtduzHUJQgghRLYcSDQEtkApddNQV6aUmgwsSPDQ/lprTwarPJtofd0SrTtdd8d8v2KIXdxGa105pbX+BCjWWr+S61o2dfKXsBCjhKW8jKrbb2Xs049h22brXJcjRqnmL1YTrO8/aqAQWxKlwJ4vowsKIYQQ3TZ89CVt6+tyXYYQQgghhBBCCDGiXOUl/ODOa5n36VNMPnCPXJeTFoViBvnsiBtXGmGZobqk38DNg1OGlR2y2AGpe53mUTSo8Nbbb8Xnb73FvTQCcBCF7EM+ABsI0kjywR9/SCmXUsnhFDHW6NAVO/dEbPycCm5gDLPIYwPBuPDaSRRjS3LLRluf7cZ2M4vV3a1qIW1cTy3f4k1aby1BbiF+wKJxWDmbirhpK/BRFxMEm2u8Ht2GGuGJwIDd0FLxpxHOu5x1AFhRPMc0/h3zXqgcQje1wfLF1Fpg7CsTcKAREMyWC6jgVsbyG6q5hErOpoyTKOEwitiHfOaQx74UMANH1rYZ7PIPav7tbTZ+mBd/HP+pPRrE28pq5XBHb4e3Rb7+Ic5UfllQxDHSmUyk0BWJcH2bh3OaG2mJ5D5w3R6JML52HRe1NKH1aIpfCyE2JeENG/Av/iTXZQghhBBDZnTO2pFoaOpypdRCIyw2aMZyHyd46ECt9eIM6/MA+8dMOsDomDbY2i4nvmvYgZnUM9rrGg201v1H/skCpdRspVREKRVO8LVUKXWHUmr74dh2LkjQTIhRxrnbXMa//BzlN/8Oc0X/kenElkubLYSah+V3nxCbHJtLLhYJIYQQ3cL+AGveSvQ5mRBCCCGEEEIIsfmrnLUVP3zxHk59/m7G7LLZXMfPCismjqSSfSnlRKrZnkIKBxFw8xCiacixonhD6WQ1HJw2Kzeysaf/1c+pZCcj1FWFhRKSd9NxYuL7FHERldzHJG6I6fw1j3LuZiKH4u4J1p3PGnzGli6mgtMoS7jeTsKcGRNI25nk10SqYkJTr9HOz1mbcL5FtHEaK/tNX0uQo1jOUqM72700MI81XMwa3qSdR2lmJX7uYyInUZy0jsEaM4SwVw02fteny1pfnUbAa48+ITmA0ylNuez7dPAW7RnXFyt2+z+lgiosnEBx1sNuVhTbkcdeFHAIRZxACWdRxsVUchU13MRYfkV1wi6HmQp2Di4MBnBFQRHVMZ3N/tTRzrJQkP0aNvKMrzckubfdPqj1WpXij0XFnGIE2S7Kz25ANhOfBwOc39LEj5ob+DQQwKvT614ohsctHW0s6OzgBb+Pc1uac10Ov271APCUz8uzvuQBYSGEGIjvtddzXYIQQgiRFTFhs8XAAcBypdRjSqk5qZfsZYSsPgbcMZNXAFO01ouGWN9i4gNYC5RSBwyituOA2G5tOxrPeUhGa12bsRXAPODcmK9fEu0ItxI4CFislLojZxVmkQTNhBiFlMWC+4wfMeGtRTh2nJ3rcsQooUpKcl2CEKOG1Tm4C0xCCCHE5m79+5/lugQhhBBCCCGEECJnlFJM/f7enPXuI+x77YW5LmdUmU0R+1LKDAo4miqqSP35eiU2io0wWgjNWgYfJtmU2JWiKCZMtoAG/kY9ADNxYkqz+9pzeLiSDQBMwc4xcfc0RYWMkNk4rByW4PFur9JOK9GOO4dQyA2MTTrv/7N33/GR1PUfx1/f7em9Xe+FfnfA0UHgqIIgXVBQpCgiIB2xoCgCgggiAmLjp3REVEQOECnSjuPocCXXL7n0Xnf3+/sjm9ym181skvfTx5rs7OzMO5tcuNuZ93yO67KdnuavFdHKzRT3mf+eyNf9EJUAlBHiRxRxP2X8gu1Mwce55JDeR/FuMGb183PYn6Uk91kYO4Y0riGf68jv9th9lHIzRRTR0u2x69nC9WzjBoq4L/JzMBwb2DH1aylJPMgszmV8XGy2taZh0M9Jcbl4PTefW1LTSTFtf7YOLd3O2mDbT+40t5t/ZOeyyDf4nw+XMfwsLYNNBVO4IiVt0M8fSUFr+XxZCY3W8t/mZo4vL2F+8TYurix3NNdE9VlrK3+sr+u4/3pLM++0DG4i30hb1brj909aHE35FJGxp2XFCqcjiIiIjBhrbaG1dgltRZ4q4GTgHWPMOmPMvcaY840xh7dPOzPGpBtjFhtjrjLGrAPupXPJ7D5GsDgVKau1T14DWB6ZBtYnY8zNwGORu4WRTEOarjaWco1H1tpqa+39XW63WmsvtNYeYa2dA5wGnG6MedjpvMM18MuVicioc2ekk3/vnWw86Ahsg65iNOElJLLj7wEiE5vHq7/CiIiIRNv61vtORxARERERERFxnDGGg753EcWrPuXTvy53Ok5ccvdwQns6HqoIYoAvkM99bIrZ/kd2jtPwuUJhbmQyZ1BIM5anoo7FHcjApiK9RwN3RJWSXEAdYVK7lLIWEuA9GtlMK99nKz+kAFeXawPXE+Ihdkzb+XwfhTRom2R1N9O4KPI9u62HUtpf6Lnc4oeOGtQHNPIBPR+P/oQmagjhx3A9BVzBlj4zDcSiPqa0DdRpZJKAizeoo4ogGyLT8vLw8G1yu/2sp+CiljCbaWUzrTxPLfcznRmR0ttqGnmTHeWpWoY/gSoU9fmDlHf8TJge/hzajrl67fe7Pt7z8tn42a+HyW2xFmxoJjL8b1BcxnB6UjIbQyHuru88Oe7V3IIRSuescyOFsheaOxd1/9bUyF1OBJrgHmus7zZL888N9SwZQqFxpNyUls4V1ZXkGDcHJSQ4lkNExr7md1Ziw2GMS/MmRERk/LDW3gfcF5lQdjUwCzg/eh1j+rxgw+PA1bGYzBUpYmUYY+6NZLrZGHMBbSW359lxkvcs2iaNnc+O8tst1tqrRzpTPOeaiKy1jxtjqoB/G2NustaO2SuH6yxtkTjnnT6NrGuvoOx7P3Y6ijjMbtxA2tI9qX5TJxGLuL3xdihaRETEWZXrNjsdQURERERERCQuGGP4/G9uYNMrK2goq3Q6Ttz5Ivm8Rw3/iBSjsvBSF6nDzCIRT4wnqxzfw4QpJ324YSsLU1K5oDaHO6PKYl7MgMpQFtuteLWGZk5iHcuZ12n5dyngIjZRSpDXqecM1nMHUynAB8BGmvk6Gzs950aKuI0p5PRR0UuJKqvdRDEPMavT4x/3UiAbzDyfMynEAs3dak5DM2OYE82g7Xt0EhmcRAYAT1LJK9RxITk9Fiqn4uPjLhP6fkwRDzADgNyo19iH4Vyy2UAzz1GNB8MJZJA5yFNsvkcBR7IGgCdidEFRAzzCrI5JhKPFBoPgckF4aIW8LyUm8UxTI+tDbdPM7krPHMl4jvpPc8+TIPfy+kY5iVhr+VdT2+/AExMSqQ6Heam5iaoh/tyOlH39AV6LcbFyZUszLgy7e739nYQrImOYra0lXFaGOzfX6SgiIiIjLqpwNgs4nLaC1KzILT2yWiFtJaoVwGOR6V6jke0CY8zVtBW2TgNu7mXVlcAjwH3W2qqJmmuisdY+b9r+IXYzcJTTeYZKRTORMSD9vK9S++TTNL87ZkutMgKMgcC21TTkZdO6vczpOCKOcnvc/a8kIiIygYRaul6TVUREHOWK3GRo9NqJiIjIMCXlZvH5e3/Eoydd7HSUuOPB8GpkYpYHqCVIS6Q8tIQ03oxRGabdFprYldSY7mMwSrcUU7B0N/Z9s4o/4aYqMrnrVDJIGMBfTEPADHxsoIULyKEVy+9oO473B8o4m6yO6VUZePg/ZvATinmZOioI8VU28B3yOIK0biUzgCJaOYcN/JKpzCHQY4boglQZQYLYjsLgU1Syqdssn8FrivyMpGNopPfC2ZGk8m9qui3/DnkcRWqPk7xGyhfJ4IuR0llPLiCHS+h8saZGwnxKIxaYj59LyaWIVr5CFj5cnEEhwci6r1HfUUobKBcGDxAEUnGxP8mDquoZOk8/M10ee4EaGrGUERz1ohkYjN+Pbey5yNifqR4P/83NZ1soSJpxkTROJrHMLOp94t/jWTmjmEQAbqytZnOorUx9bCCBwmCQF5ubKAwG+3nm2LYxGOTsijK+kZzC2mArJycOYfygiIwZVscIRWQi0/G44Rkjr11kMtl9kVvciBS0boncMMakQ8fVfwqdKnDFa64Jai+nAwyHimYiY4Bxu8n75a1sPelLhEpVMJrQamvInFNAWVMzoepap9OIxFQ4LZWWWdOwLhfW7SZsDAaLCVuaKvTzLyIiEq21YWgndIiIiIiIiIiMVwu/eARLLz2bN+/4o9NR4koYqIpUZ9r+v632Mp8kdiKFFxj8scj9yWAzTWzqZXJWtI+p5Wjia+LC+2++z/4H7cfDL3uwMKipbh4M90fKR2EszVhepYbVtPBnKniUSk4knQZCfEITm2llKl6+RCaPUEEIuJXtrImatJWIiwZ2TNtpwXIRm/gxk9mb7mUBN4brKeBGigB4miq+SAZlBLmb0h5zL2ceLYS5gxIqCfJDCvgS66mh9yk/p5LBZlp4nfoeH19EIpeQx4vU0orlIWaS3cckttG2EwlcTA53Rb0mpQS5OFI+y8bNQ8zu9BwXhvY/I9WRyX+D5cUQxPI5UvgWeUML34sPaWQDLdQOMVv/LDl7zcPj82A8LlxuF8aADYO1Ydj4wbD3MMk9vk5b6uk7kWAMn+VPHvUsE5m1lptra7i/vg6Ao/wBjggksCUY5JbaagpDQT5tbWWBN35+R42kO+tqqLaWn9XWcGda7wVcERkfbGOD0xFERESEjoLXSqdzdBWvucYzY8xNkU/TncwxXOPrHRuRccy/cD7T/vMvii+6jMb/vup0HHHS2s/InjKNqpQkmrcUO51GJHZq69gUgs1vf+h0EhERkbgXbGomHAzi8uif+SIiIiIiIiLtjvrFdcw4ZG/+ft73aCitcDpOXKjqYbrVAWRwODkU00x5D4+n4+kop7WbQyK7kMJ0EsnAywYa+AO9T/JpV0uIKlpJj6MCEsBrL7/NrnvtRsYn6wjVDe5kXYvlbRr4NSVspRUvBjdthZNWLI9S2Wn9dbSwjgqycVMWqaU8RTXQNqXqBgq4kq2dnhMGrmcrl5DLsT2co3IQyR2f30Mp79HA/3ophC0jBQAfLq4iv2P5Y8xiEy2cxyYATiaNC7oUo67r43tcRAtBLM8wt9d1nHY8GXxGM8/1MHWtjBD1hEjC3bFsbxJ5NfI6VhPifRrYjcR+9xMm3FHZi+UF4lMjWfsqCA6PIZASIPGTN3t8dDDT2SaKf2fncmRZCQA5Lhc/S8vgYH/P0wgnupC1/KWhnjXBIAu8Hr6YkETAjMzUw5dbmvl1fduFSy9ISuaalDQApng8HOoP8FxzE7fWVvNAZvaI7C/eJJkdv3mm6ZiByLgXrqtzOoKIiIjIhGeMmUHb5LirgcNpe9tkTBf89K9JkTHEk5fL5EcfpPTaH1D9uz85HUectHUT6ZlZVBbk0lJU4nQakZhwhcPMKSykcc50ytZudDqOiIhI3GupayCQnup0DBEREREREZG4suALhzNl6e78+ejzKF71idNxHOfvofZyODlU0spvaHsvPoCLpkhx5fPksiup3MTajvXPYjJzukzWmkEiJ5LP61TiwVBBS6epXDvWSyA5qsgTTz54+wOmz5/F9K3FfZbNPqWRV6ljNc2EsWyihUpCHa9sK5Zp+MjAzQaaqY56Hby0FbzqCXeUzKItIZFdeykyWeAOSighyFfpXI4wGI4gtaNAtYrO+e9mGvl4SO3jFBEXLn7MjotcHkT395kuJZcz2dDj84sJ8hOKuJH4ntx0BXlspYWPoqbItQt1qU6VdClYDqRo9jGNXMrmbiWssi7bGgkpkT9LsZtoBptf/ICZR+2L773XY7aP8WSh18emgik0WYsPcI1QcWo8urSqgr817ZiEeU11FZsKpgx7u9XhMN+paiuXn56QxHdT0zs9flZiMs81N7G8uYnbaqu5PFJCG0+uSEklYOC4hER28cRXsVtERp6t6/niAiIiIiLSmTHmi8BetBXCZkUWpw9zs5k9bMPQ9lbevcPctqNUNBMZY4zLRc5NNxAs3k79M/92Oo44qaKcjJlz2F7kdBCR2HHVNbBLch1v52ZSX6KrzYqIiPRFRTMRERERERGRniXn5/Dl5b/jvj1Ppnrj1v6fMI4l4yEND9WR0st+kfMg3olM1AL4MpN5i2p2Jpl5kUlZFzKdj6hlKoFuJbN2u5PK7pFy0g9Z3bE8Hx8XMiMGX83I2/hZIWl770bKW+/3+Pi7NHBVD1O9/Bh2JoGPaKQ5Uj7bBOxMgMeYyjlsYButzMLPkaRRS4gHKe+oHgUw/JHpZOLjUxq7bT/aX2g7XhJdNjuddZRHlY2OIZ3HI5PU/sxMcgcwQe55athES8f9hSR0WycXX5/beKuXKWrxxGC4g2kczxoao+pg+Xh4mwYOiyrYraa503P7Kuq1e5XaHid9NcZg6lhqpN5YE8OiGcD6Z99j7uf3w/XO/2K6n/FkpCZzjVfrgq2dSmbt3mhuZh+/f8jbtdZydNl2SsNhfMBVKd3fLz8ksGPC3KrWlm6PjwepLhfXdSnYicj4pYlmIiIiIr0zxqQCNwPnd30oRrtsf1topbX2tzHax6jofrkyEYl7xuUi9+c/xZ2V6XQUcdKCXWhJyXE6hUjMuYtLWZKdhicw9IMKIiIiE0FTda3TEURERERERETiVmJ2Jic+eAvGpUPkCyPlMYD3qSWM5dVIeWkRqUwmgRPJ7yiZAeTj5zCyOy3ryyXMBCAFD+czfQTTx9bi/RaR3cfPSG+To5qxrKSB5i4VozKCGAxHRspLn9HMnZTwe8pJjZrs1oTlNDbwNJU8z473eP7BnB739xcq+FukSLaGpk4ls+9SwPFRF1J+kHJsj9Wnzu5ge8fny5nX8fk2WvgmG/kZRR2T7nozlqo13yS30/1igvyMYpaxuuO1+FyXn/d7KOELrGVtD9PQukrA8AdmkBY5LScQg9NzttAKwAZiX5ZZ8493YfHeMd+PTAyfK93x+ya6BrslNLzJf58EW9kSavt92AK4evmltL+v7bizZ0z91hIR6Zmt1fFBERERkZ4YY/YA1tNWMjNdbjYGNyLbfhw4PMZfXszpXXSRMcqTk03OTTc4HUOcsusSSlYUUvnyO04nERkV3tXr2GvRfKdjiIiIxLXqTducjiAiIiIiIiIS16YfuCf7X9P14rUTzzJy2Is0AOoI8XKkZAawlIwR2UcGXq5mNpcwA9cYOZH/4AP3JOF/79L8xqpe18kewESraKfRduHQM8jkDqbyFbI6HquIlMOiT9q4i9KOqWJT8OLHxf29FPV+RSn3UMI32dRp+UOUU4CXHzMJF/Bvavgj5X3mfI6qjpLc7uy48N9tFHM2G1hDMy9Qy4OUk9THaSbeMfK9BvgcKWRGlf2i/ZNqvsVGXu0yoS0INBDmoag/M70xGCbjIzmyj5YBlP0GayfaJjO9RC2hGGy/M8PqZz/GtcvuMd6PjHdbu5TJprt3/F59sbn/EmdvQtayIdh5258vK+m2Xk04zOpgW0nzheYmXuxhspqIyFgS3Nx92q6IiIjIRGeMOQl4B8igc7GsY5Uebr0t7+3WdVvPA8ustadaa6tj8oWNosG9CyoicSX5hONI/MujNLz0itNRZDTl5lPy5qfY4PCu5iUy1iS+vYpFhyzl3ZfedjqKiIhIXKos1IEkEZG4YUzvl82W/hm9diIiIhI7h/zgIj598jnKPi10Oooj1tPAc5RSRHPHspciJaS9SSc/qmQ0XAm9lHji0Z77Lyb4yooeH3udOn5HGYeSynGkkYyLui6TvWbjJxEXXyKTPUkCwGIxkXNODIadSWA+Af4UVfqahq+jWNbuXRoA2DuynRl9fE+epKrj82NJ459Uc2KkLLgPyXyDHO6mlD9TwUz8HExKt23UEeR+Sjvun0IWNYS4mE1soxUvhlYsLuBJKmk/QhnA0NSl3PQTJveaNd74cXEzU/gVJbxHI34M8wnwPm2lk8+i/ox0NT9S8BqI9vJdcz/T4IbiWNJ5JDLZ7k3q2W+AEweHyobCrH51E/P2mkd4zeqY7kvGr6cbdxS7Ps2bxIvNTXyzqq28+Y+mRn49hG2GreUL5SW839raaXmztfyhvo6/NTaQ5nLhoa3MFn2mxVONDRwaSBjCXkVE4kNwwwanI4iIOEfH44ZHx+NknDLGzAQei9y1dC6GrQQqgEKIemOtzVW0TSPr643jdCAz8nHPyMflwAXW2g3DjB5XVDQTGcOMMWT/6Hts+tzREAo5HUdGSXPudOzqd52OIeKIjFfeZO5+S1jzP/0ZEBER6apqvYpmIiIiIiIiIv1x+3wcc/f3+dNh5zgdxRGvU9mpZNZuCgGWke1AIuclJCeS9GkhvV3i8fu0TZH/HWWcQSZ/ZQ5BLD+nmI20cDNTSO2hVGfofsLW+5ESWbtzyOJHFPW4X0/U8w8lhRep7fPrWECAS8nrtOwEMviUJl6glhspIhsPO7OjUFFPiFNZT2tUYWwn/HyRdR33TyODs8jierayggaScFFPmAAu/FiqowpUuzCwskYjYRL6mIw2Wmbg52amdHxtJQT5PdP5Ghv7nA92P2U8QBk+DH5cXEouM/HzPg2sjBTVLJYSWghHtjSciWb/oYa7KGF3EriSAgKAC1enn7r/UBvzohlAqLGZwo+qmTVrCuEtej9SBq996tj+Pj+JLhf/iZpidnZi0qC29WJTIx+1tvJUUwNrulyo96hAgGebmvh+TVW352W6XBwfSGBTKMR5yd0LuCIiY4mKZiIiIiLddC2ZrQRuAp7va9KYMeYq4DfW2hcHuiNjzCLgWmCdMeZma+11Q48dX5x/505EhsW/cD65t93kdAwZLVOnU/XaKqdTiDjGGJi68j0KdpnrdBQREZG4U1m42ekIIiIiIiIiImPCzEP35cg7xs0x/0HJxNvx+deY2vH5qUzCO0FPH9hr8c4Ey6t6fMxGlYNSol4fD4ZrKOAepvdYMutJE2GejyqLPcIsDuijGLSVHZN5rqWA5cxj5y6TtPaPev5tbO9xO1eSz6TI9/1qtnRMTANwR6aVRfsi6zs+X0YqXyYLN4bjSAdgEl6uI5+ryOtUMmvfXn820cLxrGUZq7mBbSxjNRewkYYYTPwaCDeGaymgAC/FtHI3pfyFmexL34WXMNCEpZoQN1DEOWzgdkpYFylyNmI5kw1sinwf6+h+4dgHKecIVnM1W6jv4fF2v2A7tYR5lXq+wFqOYS1VBNkSNQ3v8B6m1cVKc3ktm0s8uLKyRm2fMj5Ya3mysR6AxT4fAJ8F2/6MpBrDj9MyBryt/zY3cU5lObfW1XQrmQE827SjwHZJcgpXJKdS4HJzYkIi7+QW8KO0DP6Qmc2uXt9wviQREccFN2x0OoKIiIhI3DDGnAcspq1kVg0ss9buaa19oq+S2VBZa9+11p4KzAVONca8NdL7cMrEfKdYZJxJO/M0pjzzJKlnnoYJ+J2OIzHUkpYPduhXuxMZD0wwyPztxU7HEBERiTsqmomIiIiIiIgM3D6XnM3X/vcwSy48HV/K4CaojGWToopKv2PHewkpAyxLjTdJaSnYdz7s9XGD4cdM4kwy+T0zh7Wvp6hiOTVAW2ntJWq5vZdyGMCSLtPB/k4VH9HUadkPKOAb5ABwOj0XNNwYfsQkdiZAM5bvsZX3ImWzAC6+Q27Huou67PMq8nFFymOByOklrVg+RyrXRSa9DdZLkdcA4FXqACikmV/08VrEWipufsAk/BhW0MDTVPMjJo9oeWtrDzPzHqQcC6ykgfPZyAc00NJD4W7nLt+XELCVlo4/t9l4WDoK08yi1W0soSJ52qjuU8a+91pbO2ZqHhNo+7luL6jmugb336F/NjZ2fP6FQAI3p2VwX0b38uNVKalcnpLGt1NSeTOvgF+mZ+I2/ZdiRUTGinB5OeGamv5XFBEREZkYrqatZFYIzLTWvjCI51YBs4ayU2ttobV2DlA9XspmKpqJjBMJey0h745bmPHOa2RcchGulNG7YpmMkqwcqt74wOkUInHBXVlNIE2/50RERKJVFm7G6qIEIiIiIiIiIgM2dd9FfP6eG/jOlpc58hfXkjZ9stORYm4WiSR3KZXtTTpmAJOoxqPFeywgXN/Y5zr7kMw5ZJM2zDLeviSRgweAWsLcQynP0vtJwbuS2On+mi4lsweZicHwRTJYzjzOjRTOuvoz5dxLKeeQzV4k0ozlerbyQaRsdjTpHYWqd+n9tfBFfkbaJ6AtI7XT40d3ud+T5dTwIBU9PvZS1LQ3J8zGz3fIA+AhKljG6k4T6AbrS2TwFLN7ffxjGjvNkishyHfYwplRE+XandhDiXAhARIjp/yUEaQoagLeaKndUj7q+5SxrTLcNrlvsttNfqRYluFq+zlun3A2EDXhMA9HJqMdF0jgrowszkhM4prqyk7rnRBI4FvJ/f9uEhEZ64IbNjgdQURERMRxxpjDaCuKVQFLhjDBrAL6eDNnAKy1y4BMY8xPh7OdeKCimcg448nNIfv6q5j+5kukfvkMcOmP+XgRnDoXG+x+pTuRiSohXQcFREREorXU1tNYUeV0DBEREREREZExx5+azD6XnsPFq5/lyDuuIzG758lQ40EyHk6iAAPk4OMQsjiyl4LSeJeQnIh595NR2990/NzLdA6Nmh/nw7CMVB5nNsuZx0WR74UfQ1KX0zkuI49vks1l5PIcc8nHO6D9PkcNb9PAlWwhBTe7kUATluvYyoeRYtnVFDCly/YmdbnviXxsL5rtT+dJgOtp6TPHVlq4heIBZXbKoaRyRD+Fub6Ovp9IOj9hMn9lFl8lhyTcTKetPOPrUub8Bz2f61RFiB+xpdOyzB6KoC3QqTR6qwOvbXPpYM/XkomuMXKhtK2hEItKijinoowp7raf4+6z/Hp3WOmOn/czE9t+F1lrqQi3bWU3r5eP8yZxZw8TzkRExqPgho1ORxARERGJB8tom2Z2nrV2KCNfCxniRLMuTgWuNsaM6ZOc1UARGac8Odnk3f4zpr34DImHHOh0HBkma1xUvTN6B7pExoJAalL/K4mIiEwwlYWbnY4gIiIiIiIiMma5fT72ueRsvl34PAf/8GJ8KePzfeiZJHItc7iIGRxCFu4JOs1s90U7EaqpG9V9puDmWgr4J3NZzjz+xhyuIr9jWtoJZPAcc/k7c8jpUvQyGE4kk2MGOYHu86R1fP4itbxPI5m4I2WzLXwUKZvdxVQCUdvtOrHMGzm9pL1o9kOKOj3+aZeJa9HW08yljI33rc4ks8/HeyrDfJ40LieXb5LL3iSR3FHLg7n4AQhGzS8LEqakjwlkr9DAsazmXDZQR5BpBLqt8xXWczLrOu4XOzDRLNTcikkan78nJTb+19Lc6f6LzU0sb+r9d0dvov+7tZO3rcz5WtS2v5GUQrIuyiwiE0hwffeJqCIiIiIT0OFAobX2ySE+vzCyjWGx1q4EngCuGe62nKR/VYuMc/6dFzL5sf9jyr/+SvJxx4Db3f+TJO4YGyYwbZLTMUTiSiDB73QEERGRuFO+eoPTEURERERERETGPH9KMof84Ft8Z8vLHHnHdWQvGIkL2cYXn04VoLyq1rF9t5ckPD0Uxkzkf0NVTpAmwmyJTBg7mQx2JaHTOhWEAGiMTDb7mEaS8fBzpnTMyKroUlzyRjK1F6YG+hP0Pg2cz0aqIvvsTQbxcRx7UmQC2UAZ4BLyOIr0Hh/3R16pAIbbKOYqNvMF1vFepODnw/T4lbcAm2jhRAq5heJOJUCAyi6vZynBju/5aDLp6aO+Txm7Tk5IYlevt9Pvj6Jw28/y440NNFnb8xO7+EX6jsmjf2tsYEVLM1+qKOtYlqvzYkRkgmldu67/lURERETGv1nA48N4/jog3RgzYwSy3AdcPQLbcYzePRaZIBL2XEzB7+5h5rv/I/M7F+NKTnY6kgxSUm6K0xFE4orf5+1/JRERkQlm/YtvOB1BRESg7V1X3YZ3ExEREYkD/tRk9rnkbL758TN89dW/sMsZnwczMad/jUdrPvgM//TxdaHHd6jndAo5jrV8lQ28QA0Gw4XkdKxzAJ0nUDUQ5mq28AmNzCeBb5MHwDPUsJyajvXai2btE83O6jL5606mdsuzhRYuZ0vH/a5lqWjfJnegX2bMzWPgFzucg58r2MzvKOvx8favuQHLs9TwLo20RF7DRFw8zRyeZR7LmcfdTOUrZETNQ2vzX+poov8Czpo+psrFTJLOO5CB28Pn45/ZeazPn8zK3AJSu/w3tS7c08zA7vb175jy972aKr5YXtpx/3cZWezl0wVLRWRiaXrlVewAf4eKiIwrTh/LGg83kfElHXh7GM8vpO2aQocNN4i19nnAjFBpzRH6FSEywXgK8sm69gomPfwHHQgbY8zajzHerocVRCYun0dXohMREelqzT//S6i1tf8VRURERERERGTAjDFM238JJ/3lNpbdcqXTcWQENU+f7HSEEVNHiGvY2mnZzyjmVop5m/qOk0NepZ4nmc3XyCYhUoJqwnIZm3mdWo4hjdPJIATcR2nHBLP2olkLlnU08yiVHfu5nnzScbOe5o5lb1LHN9jYcX8+/j7LUvMI9Lg8hKWB0Ttx+naKWR35Oqbg6XiNerOGZt6jkYeo4DV2TMmrJ8S32MgTVPX63Ln4O6bbNREmCy9/opLgELMX4MBFGgMJ/a8j0oUxhmy3m99mZHcs28vrI3sQk8huTcvotuzCpGQO18+kiExA4ZISmt96y+kYIiIiIvGgahjPfT7y8YIRyAFtWWaN0LZGnYpmIhNUwtK9SDz8c07HkMGorSFl0UKnU4jEDa/t/8qNIiIiE0399jI+fer5/lcUERERERERkSFZeslXSJ1a4HQMGSEffbIOXOPjtInno6aPAewfmVz2HDX8gfJOVa27KOEMMvkjMzmaVABCwPcp4l9UcTbZpOOmihArqAd2FM3CwIVspAmLj7bpXzdSzFfYwPls5BEquIzNXM82mrDsSgJ/YSafRZXQusrFTW4PJanNtHAy6ziRtayK5IilV6nhX1Gv4ylkcg35A37+nZREtlPLWazv82sGWEQir1DLF1jLcazldAqHlPswUvgnc1jA6Bdswh5NjpKh28fvZ3l2HtenpHFvRtagnntaYhK/Ss9kZ4+Xi5JSuDs9kytS0mKUVEQk/tU98HunI4iIiIg4rYphFLustdW0TTVbYozZfQTyVACLR2A7jhgf75iKyJAU3PcrMi77FiYpyekoMkABv8aci7TzBId6PUcREZHxbcvrq5yOICIiIiIiIjJuub1eznvrMfa66Ew8ARUsxrqq0goCS3ZyOsaIWErnY76v9VDMSo2cIvIStQQJk4GH75DPnUztmNz1S0qoJcRhkQLavyPFq2Rc5OPp2JYbaIGO6V/tfksZH9IIwMEkcytT+DFFveb2Yvgl07st/yuVfI0N1BEmDPyO8r5fgBHwU4o7Pj+TTJ6gkh9EZd+fJJYzj38zh9uZwl1MZTnzOkp4FYRYxmpuoIi6PqaweYAlJPAnyvkRRQOa2BZ9ck9K1L1UXHyZLHwOnf4TNgOfQCXSk/leL+cnpwxqmlm74xMS+VdOHlenpnFcQiI+0/cEQhGR8az5jTexumCziIiITGyFwJJhbuN5wADXDj8OsxjehDVHefpfRUTGK1dyEtnXXUnmdy6m6e13aPjPK9Q9+xyta9Y5HU1688mHuNNSCVXXOp1ExHGelhanI4iIiMSluuIypyOIiIiIiIiIjGvJ+Tkc86vvs+yWK9nyxirWv/gGa555meJ3P3Y6mgxBCSZSqRrbCvDxR2ZwDVsporXHdWoihSYLvE0D+5IMwEISuJ/pfIUNhIAr2cJ1FPAElbxBHTWE8GE4glQeopJWLCFgMl62dtlXAMNXyGJPkpiBD4PhE5r6zO6jczmkgSC/prTTsk9oIozFxfCKJBbLJloIAYm4SMFFAi5epa7jKzmNDM4ikz9T0em5xZE1XLjYlcSO5a0M7qTuIPBOpIzXkz8xgxKCbKWVA0gmFXfkeZYwFh8uGgmziRYK8HY87oRgCHyO7V1ERETahauqoLkZAgGno4iIiIg45VHgauAbw9jGcuB84BRjzL3W2v8MZSPGmEWRTyv6XDGOaaKZiOAKBEg8cH+yv38NM/73IpP/+hD+3XZxOpb0wARbSd19ntMxROKCu773A3AiIiIT2ZyjD3Q6goiIiIiIiMiE4E1MYOah+3LojZdxwcq/8o0P/8HCLx7hdCwZpI/e+QhvTqbTMUbEJHz8gqnM6FL98QHZXcpI/6Ou0/08fJxLNgAbaeF16piDnyDwM4o4k0L+RAWtWHLwcBl5PMAMljOPp5nDEhLZi0TuYhp5eDmfjXyF9QA9VsOuIJdZ+GnF8jI7LrK5jRZOoLDHr28jw78I4b+p4ets5AI28mXWczvbuYXiTlPXFhDgDkq6PTcfb4/b7KvmlTfIEthy5lGAj91J5BjSOpXIPJiOyWUJuJhPwNGSGUBrc8jR/YuIiEibwCEHY1QyExERkYntMSDDGHPiUDdgrX2CtilkBnjMGJMyxE2dRtu1nnp+k2sMUNFMRLpJPGA/pi7/O7l33AJmeFeEk5Hnaxyz5WaREeWq1WQ/ERGRrtw+L/OPP8zpGCIiIiIiIiITUu7Oczn1ibv4+luPkTF7mtNxZIDC4TDhhbOcjjFisvBwO1NJiKp3tQBldC4EvUAtTZEJZ+1OJZNZkZLaHyhnLc1A2/SzGsLk4+EicvgDMziGNNyRfSTg4mdM4adMYQZ+bqSIRFwUE6SBMOeS1Wk/DzCVI0knHw8AYXZMGrucLb3OB/u4jylgA1XRZQLby9TxAp2POf2Tap6npttzu05va3cJuT0uNzDoCWzFvewjXrXU9T2tri/loRBFoeAIphEREZm4Ek88wekIIiIiIo6y1q4HngBu6W0dY8wexpibjDFXGGP26GW1n0U+ZgLvDLZsZoyZCVwVuauimYiML8blIu3M08j49jedjiJd2NWf4Z9a4HQMEce5qrof4BMREZnoZh9xAIG0oV5MR0RERowLcBndhnxz+hsoIiIiMjyT99qNU5+4C0/A73QUGaA1m7Y5HWFEpeDmAJL7XKcVyw10/7pvZgreHspR11PAH5jJCWR0TNXqTQ4eGiIltkRcnEYWP6CARAypuLiAzYQJd5SqMnFzBGs4lw2UEex16w9SPuyyWX7UtLfPk9rjOitooKc5XV0nxbU7mnSWM4/ELq+bBYoYXJHqAUoHtb7TWmqGVjS7p66WRSVFLC0pZlrRFn5XX0ujDff/RBEREenGJCSQcKQmK4vIBKTjcToeJ9Ld1cBsY8zDXR8wxpwEvENbCexm2kpkn+thG/dGPlpgDrC+l/W6McakAcsjdwuttWP2RGf9ihCRPmVdeznp53/N6RgSxRhImTPZ6Rgizmto0kF6ERGRLhaefKTTEUREREREREQEyN99AV9e/juScrP6X1kcV7RhG4Fd5zkdY0Ql4+74/JBeSmcraOA96jstS8fDn5jJwSTjAfLw8AxzOJiUjglm/bmHaZxHNo+wY1LcAaTQiKWeMEFgIy0UR0pYN1DUsV4BXn7BFM4kkyeY3Wm75YS4nM38gypsr3PP+paLt+Pz6fg5sJ9CXrSz6PvP83SGf9wqPyrfWNBcWTfo5zzX1MhNtdWdlv2wppqrqypHKpaIiMiEknDkEbiSkpyOISIiIuI4a20hcARwag9ls5tpG0Affbu5h21UA7dGHre0TTZ73hjz6z6moBF5bAUwK/K854f55ThKRTMR6ZNxu8n5yQ/I/flPweNxOo5EuIs3Oh1BxHHGQEJmmtMxRERE4obL42H+8Yc6HUNEREREREREIqYdsCfnr/wrU/Zd5HQUGYCqlIEXjsaC6JNBTiWTC8nuuD8DH0mRNX5KcbfnZuPheibxL+bxf8zCO8hTS1LxcCqZZNL5+PKXySKAi+NJIwtvx9SzaH9kBjuRyDlkk4q723S1IPBLSriMzTQNcloYwDR8HVu8m1JeoQ4PDKhCdwfb+3z8S2QOOk9X7w9zYttoayytGtT6Ldby9cryHh97qqmRkB1agVDiw/pgK9OKtjCtaAvfq1ZxUERktCQef5zTEURERETihrX2eeBU2spmZcaYEyMPtRfA2m9Al6sc7djG1cD69ru0vXV0AW1T0NYYY+4xxlxhjPm6MeYmY8zbtE1LmxW1mW4ltrFERTMRGZC0s89k8uP/hztbV12MC0VbSdplrtMpRByXkKIrMomIiLSb8bmlJGSohC0iIiIiIiIST1In53HOS39i74u/3HYFNYlbH777Me5xdNzhONI7ymQXs4mTyOSfzOEWJnMv07iafAAqCLF2lMpNXyaLp5jDxeSxnVaAqNoX3MFUTJfK10FRE8cSopZ/RBNXs3XQGRJwMbnL1LAgDGg+2oc08UO2UkeQlh5KchlRxTp/D9W1M8jodx8f00Q1oQGkiRNhi0lPH/DqDV2KZBvyJ5MQ9bvxttqakUomDvh7447fJX9sqO9jTRERGSkmJYXAIQc7HUNEREQkrlhrHwf2BKqBx40x5XR/+8fSNoGsN8vYcW2i9rKZoa2cdj5tRbJ7gauAJVGPW+B5a+2GkfhanKKimYgMWOL++zLj3f+R/8CvSTrycHC7nY40oSWHqvFm938wQmQ8CyQnOh1BREQkbiw48XCnI4iIiIiIiIhID9w+H0ffeT3f2fJfjvzFtUzeezenI0kPmhub2D57Gq6A3+koI2IyPi4iFxcQAjbSjA8Xi0jChYtg1Lk1/6Vu1HKV0soXWMs32QRASyRHDh527lQla1MfVbrqOlntE5oHtW+L5U62syVScms/2p2JmyNJJW0Ap9B8RBMnUsixrKU0sh1oe31X0dBx/3amMgUvKbjYlyT+zmy+Rg7PMZebmcK3yeWHTGI23X/eWnsoscUzkzrwi1+lu1yck7ij0HlSeSn/zs7ruP9c89ia6CaddS0SiohI7CUceQQmEHA6hoiIiEjcsdautNbOBr4BbGBHEaz9Vk3blLLenl9IW1mt/ao40dPQum6r/fF2vW53rPD0v4qIyA6uQICU448l5fhjCZaWUff0P6l//j80vPQKBINOx5tYiraQmVeA3XURJhiE1R9gMrMpLwvTWlrhdDqRUeH3e/tfSUREZIKYf/xhTkcQERERERERkT6kTMpjn0vPYZ9Lz6Fi3SY+efI5Cpf/j/UvvoENjaEJRuPYZ6s+oW72NCYV5NASDPLRyo9JTEliz8w0mtdsdDreoB1EMndiaMLyD6q5iFygrRT1Y4pwAWHgESqpI8zXyCaF2F5s9GEqaOihSFVKkGWs5vsUcCApHcv3JIk3IgWuGsK4oaN6ZoEQFncP08N68i6NPMuOiVnt26kgxL/pfZJWEuDC4MFQGVV8u5CNTMNPC2FWdym9+TD8npndtmUwLCaRxbRdTHH/qIltW2nBhyGbMXb8K3FwkwC/n5rOHyLTrt5pbeGg0uKOx05LGD9TBSeiMxKT+HV9bcf9FmvxaZqniEhMJR73eacjiIiIiMQ1a+19wH3GmDRgVuRWaK19dwDPXWmMmQm8ACxiR5mspyuttE8zO2KsTzMDFc1EZBg8Odmkn3s26eeeTaiikrq/P0PtE3+j8fU3nY42cWwvwmwv6rhri7aROWUaNRkzaFy9wblcIqNkUlk52fvtTtjtJmRM2w0IWQiFwwRDYUKhEMHWIMGWIK0tLQSbWmhtam671TdiwyN/VciceTPw+LwUfbhmxLctIiLSk8lLdyd1cl7/K4qIiIiIiIhIXMicPY39r/w6+1/5dRrKK/ns6Rf5+NF/sW75/1Q6c9jWdZvYum5Tx/2a8ireDofZe89daH73kzH1/THAJLwU0sJTVPFlskjFzf9RgQXmEyAfLy9Ryz+o5n/U8QMmsVMPk8VGyic0dbofXRwD+BFFLI8qmv2K0k7rhwAX4MdwHjkDLpkBTMHLTgSoIEgrliBEPlpasT2eIQTQVolqv2D1DjWE+ZDuE7gm4WUqvgHnajd5CM+JByXlkDB/b9xeF8btwuUCl7G4DBgsJhyCcAgTCkGwFV+wlRWTCthz5YpO2zkukMB5ySm97GXoXDm5MGky4Y8+0MVzY2y6x8O3klL4VX0t+/h8Y60yKSIy5piUFAIHHeh0DBEREZExwVpbDbwbuQ3meVXAEmPMVcD5tBXVelIIXGCtfWE4OeOFimYiMiLcmRmknX0maWefScvqNZT//E7q/vq007Empi2bSAWSP7cvpf95x+k0IjHlKdyIp3DoVxC1BkjwYBMSsAl+rN+P9fuwPh9hjwfr9RB2uQi7PYRdO4psYWsJhS2hULit0BZsK7OFgyECSQFmrF5L68xpFPUXQEREZITMPGxfpyOIiIiIiIiIyBAlZmWw6KsnseirJ1FXXMrrv/gDb9/9F1rrG5yOJhG1lTW8sOJDcqbkM29Lcf9PiBM+XNzKVL7OBioJ8R4NHEgKL9E2cSgVN9+lgM+Txi/ZzmZauZItXEU+B9N34aeZMO/SQCpuFhLADLDwdQDJrIlM//IAf2QGZ7Khx3V/xfYel/+TuXgGUTBrl4uXXzKtx8csljCdi2fBjs87L99OK1UEmYSPIJYQsIAAuXhoxpKAa9DZxrLy9zcM6XlXksffqGJXEpmMh+ND2axvTMCT4MOd4Mcd8ODx+3D53Li9HtxeFy63C5fb4HIZjKutdGiMxdgwxoYjhbYghEIQCoLLTfH2MJXPfsaCnVOxFRUj+rVLd1elpnFFSiouTTITEYm5wH77Yvx+p2OIiIiITAjW2luAW4wxhwGLgdlAJm0Fs7ettU84mW+kqWgmIiPON28uBffdReO5X2HbV84jXFHpdKQJx8yYRVOVDj6K9McYoDWIaa2FmtqR3bYd+UlpIiIivZm63yKnI4iISDQTucnQ6LUTERGRCSw5P4dlN1/Jflecy+OnXcqG/7zpdCSJyMzLYqdZUwiOoaIZtJXJknFRSYgiWjs9loYbgN1J5G6m8xOKeJN6bqSIIlo5jYweC2Q1hLiUzWymBYB8vBxLGseRRlJkm73xRm3vLDK7lcyeYy4AH9HA36ju9vwTSB9Syaw/BoMbBjQhbZc+Jr4l6B80A3YEaRxBWsd92xqipaqOlqrY7M+43b1OrZORpZKZiMjo8O+z1OkIIiLO0vG44dFrJzIkkYll42JqWV8m1mWURGRUJSzdi6nPPIl/l52cjjJx7LQ79dN3o3jVFmrf/cTpNCITWtitPr+IiIyeKfvs7nQEERERERERERlBSTmZnPXvB9j721/G7fM6HWdCm7vrPA5buhs7lVURfHmF03GGpJQgAK9S12n5Opo6Pk/AxQ1M4gTSAXiAMm5nO609VHOepJLNtODDEMBQTCsPUMaXWc+DlFNLqMcc/6GG+ygD4Fyy+RJZnR6/n+lYLNezhUvZ0uM2duuj5DWetBBmA8200PnChltp4TmqWUk9l7GZ41nDTyhyKOVYYrHNzU6HEBERGVEqmomIiIhIrOgMaBGJKd/sWUx98RkaX/0flff8loblLzodadyyu+9JyX/fdzqGiEQ0JSc5HUFERCaIrPkzSczKcDqGiIiIiIiIiIwwt9fL0b+8noO++w1WPvA47/zmYao3bXM61oSyy567krbig6g61tg0CS+FtHRcrPxa8rmJYmoJU0GQzMipI24MF5HLZLzcQynPUkMxrXyfSaRETSp7NjJp7BQyOJ1MXqaWh6lgM638iXIep5JzyOILpOOK7PUd6rmV7UDbVLLTyGBjZCJauzCW41lHcx9zp3aaAEWzd6jjGnb8WT+RdIpo5QMaqO/htXmJWs4gk1n4RzPmmJI4JQdbs8npGHEnaC2fBlvJd7m5rrqSZ5ub2MXjZaHXyw2p6SS7er9+eWU4xDXVVWwOBvlyUjJnJOrYqIjIaDKJiXh33tnpGCIiIiIyTmmimYjEnDGGxAP3Z/Jffs/0/71A2jlnYRITnY417tRurXY6gohEqW4JOh1BREQmiClLNc1MREREREREZDxLys3iwGsv4NuFz3P6337NnKMOBGP6f6IMW15dvdMRRkR7kezjSGXuAJKBtklnXcteACeQwY+YRAKGVTTyLTbxZtQ0tPYpZwm4CODiCNK4nxl8lwJm4KOBML+mlGvZyjqaeZcGfsA2WrEcSDIXkgPAeWzs2OYZZHIBmzqVzKbTfZpf1gS4nvK1dC6U/pUq3qC+W8lsVxJIiBT51o75OmRspc/OczpCXDq3spxjykpYXFLEs81tP0MfBlt5rLGBu+tqsbb30ueD9fX8q6mRD4OtXF1dybSiLSxvahyt6CIiE55v8SKMZ/z/vUhEREREnKGimYiMKt/cOeTe+hNmfvgWubfdhG/nnZyONG4Eq2qcjiAiEfVLF7HurQ+cjiEiIhNE/mL9nVpERERERERkInC53cw//jDO/NdvuXTjfzjspsvJmDXV6VjjWmicHH87mJSOz5exmvso67jvp+fS4lKS+QXTyMHDNlq5nm08SSXQNvkMIDuq9OXGcAgp3Mt0LiIHP4aVNHAhG7mKLTRj2YtErqUAN4YjWNNpfw9R0fH5aWSwnHmUE+q0zl1MjJ93Tw/fk2+T2+n+oaTwQyZ1FPN2ngCT3oYqfeFU0mo2Ox0jLv23ufeC4t31tZxcXtrr47U23G3Zz2vHx+9MEZGxwLe7LkQpIiIiIrGjopmIOMKdkkLaV77EtOVPk3bOWU7HGRfcqclORxARoH7vRbzx2nvYUKj/lUVEREZA1rwZTkcQERERERERkVGWNrWAA645n2988Hd2/dLnnY4zbrnTUvpfaQw4klQWk9hx/2mqOj7f0sNEs3az8XM/0zmCVADuoZS7KWG/yES0O9jOh3SeYOTCcAIZ/JrpLCUJb6Q0tYhEfsAkvBjup/fyCsDXySFMmDp2FFkycLNggpSpvkpWp/s3UMCfKO+07GVquYPthIF8PEzGN4oJx470BVPJb9lMuLjY6Shx6QCfv8/H327t/ffDyQlJ3ZZ9KbH7MhERiQ3vnNlORxAREREZk4wxexhjvm6MecQY87YxZo0xptwYs9oYM2MAz78y8twTjTGpoxDZESqaiYijjNdLzi03knn5t3GlpzkdZ0xLnp7ndASRCS+Ukcaqj9c7HUNERCaYlEn6e6CIiIiIiIjIROVNTOCEP93Cgd+9kMTsDKfjjDsNedlORxgRBsN3Kei4b6MeW0lDn89Nws1l5HUU1Z6iiiw8LCGRJizXsYV/Ud3tedPwcSOT+QdzeIAZ/IzJ+COnqDwamYzWk9uYzDJWcyLrOi3fn4lz0c1aOk+KepU6qrpMdwsCr1AHQDFBNvVRGHRKC2FWUO/Y/o3HTUFmK7ah75/xiewLCYn9r9SL+V4vH+dN4lfpmVyTksrrufmcnTRx/pyKiDjNXVDQ/0oiIiIiAoAxZoYx5iZjTDnwDnAvcDKwBJgNZEQ+pg9gcysjz3sCqDTGXB6T0A7zOB1ARMQYQ9Y1l5N5+bdpXb+BUFkFoaoqGt94i/p/v0BroUob/bGBAMGmoNMxRCa8uoXzaHr5HadjiIjIBOJJCJCzk65YKCISd4wBl3E6xdhl9NqJiIiIDIbL7ebQGy/jkBu+TeW6TdSXlNNcW8/29z5j3b9fYdOrKwkHdRxpsHwBPwmhEM1OBxkhqbi5hFx+SUmn5bsOYEqYB8PNTOFnFPECtfyJck4gnTDwLg3cznYK8LIH3UsrLgzToqZthTvV3Dq7gylcxhYAGrqsN1H+lWCxvEptp2XLqSWAoamP1+5JKrmU+LkgVRjLZWxmNc3k4uE3TCcF96hmyF0ym/D6VaO6z7Hm5IREmqxlezjEPj4/v6mr5eWWHb/1TuqniJbscnH8MMpqIiIyRC4Xvj12dzqFiIjzdDxueHQ8TiaAyMSxm4Hz2xd1WcX2srxX1toXgDnGmMXAtcCtxpgLgGXW2o3DjBw3VDQTkbhhvF588+bCvLb7ycccSc6Pvkfjm29T9sOf0LTiXWcDxim7+15UfryZ1tdXOR1FZMILGg2LFRGR0bXghMNxe71OxxARERERERGROOByu8maN5OseTMBmHv0wRxwzfk0lFfyxh1/5PXbfk+wscnhlGPD3gcuIeHjdTS/ttLpKCPqGNKYg590PLxNPQFcHEbKgJ9/NfksIMDdlPIUVexLUsdjN7CNs8jiGNJIoPfjJWv7qO79mtJeq1SuCVI120gLm2nFDXgj5bLdCHATU/g52wkT5nomA20Tw16nnhsp4p9U8xp1WKCZMPuTzNXkYxx63WoJszryvS4hSLCPklyseAK+/lea4IwxfDlqCtkB/gBrWlt5tLGemR4PX0rUhDIRkXgUOOxQXKmpTscQERERiWvGmEOBx2ibUtb+Bkn0GxSGYVzbyFq7EjglUjh7DCg0xiy21r431G3GE50NLSJxL2HpXkz555Pk/vJWjE9vBrezGIJ77EfJf9+jtbTC6TgiAngcOEgmIiIT217fPMPpCCIiIiIiIiIS5xKzMjj0x5dy8ZrnWHDC4U7HiWv+hACH7rMH3lfeIVhe5XScEefCsIAEPqWJV6ljLv5BFbgMhhPI4CtkAfA69R2P1RHmN5TyD6r63EZKH6eprO6jhDYxambwCnUALCTAV8jkIJK5gXx+RQkpuDpKZgA+XBxEMvPwA1BFiGpCNGFZQYMj+dt1nVznduA7GGppHfV9xkpxKMR9dbW82NTIipZmrI3dMcm5Xi/fTU1XyUxEJI6lnH+e0xFERERE4pox5jBgOZARWRQ9uaz9thJ4HngcuG+o+7LWrrTWzgZeBFYaY8bF6FlNNBORMcG4XKR96VQIhSj5zjVOx4kLwd33oeKlFU7HEJEo7mDQ6QgiIjLBtF+hXERERERERESkP6mT8zjlsV/yp8POYePLbzsdJ+64PR4OmDeDpjdWOR1l0BoJU0mQSQzsop0/oQiA89jIj5jEvgyuUPJlstibJN6gjjepZ01UQexz9D1dowAfJ5PB41R2LPNjaO7nYn4T5SrKL1IDwIc08SFtEwhfjpTPAJ6mmmn4eIAZQFv573amsoVWnqKSZyPPP5UMx6aZAd2+m24HMrQ2tDiw19j4RmU577Tu+Hq+mZTCNalpDiYSEREneWfPcjqCiIiISNyKlMyei9y17Lh+0fPAvcBKa+36Hp53/nD2a61dZox5B3jBGDPLWlsznO05TUUzERlTUs86ncY33qL20SedjuIou8feVLz0jtMxRKQLd+v4uTKiiIiMEWaiXMtZREREREREREaCy+PhpIdv5/cHfInKws1Ox4krB++9K03/e9fpGIP2JQoppe1CeDcyiaUDKI0lYGiMVIG+zzaeZg4Jg6xyzSfAfAKcTTblBGkkzJQBFt0uIIf5BPgF28nCw/4kczDJ/IoSQsBqmgh3eU4J4/9ifw9Qyhb6P9a0iRa+yxZ+whQAWrHcxXY+ihTTcvDwBdJjGbVHFksVIQxtE+6iDWZy3khpqXZ2qttAfdzawu/r216xgDEs9fk5PiGx4/FPWls6lcwA3HpbWERkYnNNlAq+iIiIyJDcC53eiLgFuMlaWz0K+z4MKKRtQtrpo7C/mFHRTETGFGMMeb+8FdvSSt1Tf3c6jjPmzqf0tQ+dTiEiPXA3Nfe/koiIyAhqqasnKSfT6RgiIiIiIiIiMoakFORyzst/5sFlX6Xsk3VOx4kLBx60F81jdMpbaVQBaxMtLB3Acy4lj5so7rj/OnUc2s8ksr5kDeHUk0NI4RBSOi27g2lAW2FpK62cx4aOry57Apze8nDUlDcP9Fmt20Bb8egRKvgtZR3LAxiuIh+/AzPg7qKEv9PzOVtOTDRrrqyDxP7Xc9KWYJCjyko6LXuwoZ7D/AGSIiWChxq6F+auTNE0MxGRiSxcV4871+kUIiIiIvHHGHMT0D7+9XnglFEqmAFgra2KTEZ7xBhzk7X2vdHa90jTpQ1EZMwxHg/5995J5jXfmXATHGxCIhUbqrGt4/+KfSJjkWfzNjwBv9MxRERkgvAmJpA2bZLTMURERERERERkDEqdnMfX33yU3b9ygtNRHLfrXrsSHqMlM4DLyOVZ5vILpnISGQN6zudIYVlUsayYVr7DZpaxmgcojVXUATMYpuDj78zlh0ziZ0zmQnKcjjWq+jsaXEKQY1jTqWSWgZsnmM0eo9iuaptiFqSOEO/T2Ot6bkcmmtXhmjJ11Pc7GL+sq+lxeWLUeRDbw6FOj/0+IyummUREJL6ZQADP9GlOxxARERGJV1cDFrjXWnvEaJbM2llrHwfWAxeM9r5HkopmIjImGZeLrMsvYdKjD+LOmziXaAkv3IPW0gqnY4hIL1y1dczZc2enY4iIyAQxdb9FuNxOXAtYRERERERERMYDf0oyJ/zxZk78v1tJyEx3Oo4jjDHklIztY2/HkI4bwy4k4BpgmcdguII8ziKTnQjwe8r5IFISephKvslGmgjHMvaAeDDsTzJLSHKkqDTaLiZ7UOu3YvFimIufr5HNw8zCN0qnATUS5jEqOJcNnEIhJ7KOjZEpazcwiWWkkhD1PXPm5CRDQ8YUR/Y8UKmunl+Zu+pqOz7/QWoaJyckcl5SMu/nTeKwQMJoxRMRkTjkX7o3RscHRURERLoxxpwU+XSltfYbjoaB+1DRTETEOUmHHMj0154n7atnYXw+p+PElA0kUPXuaqdjiEg/MrpcVVBERCRWZnxuqdMRRESkNy6j23BvIiIiIjJqdjvzeL61+lmWXHg6noDf6Tijasn+i2jeuNXpGI5wYTibbG6n+8SnNTTzBJUOpJrYjieT3zMD7yCecxOT+TXTOYPMARcNhyuE5dts4j7K2Exrp8cScZGIi+XU0IjtWH4Ea/g7VaOSL1r5p0Wjvs/BuDQ5tcfldXZH0XOS28Pt6Zl8LzWd9F6KaSIiMnH4DzrQ6QgiIvHD6WNZ4+EmMr6cRts0s1OcDgIsB4wxZg+ngwyV3oEQkTHPnZZG7i0/YcbK10g57WSn48SG30frvN0JVtY4nURE+uEtr3I6goiITBCzjzzA6QgiIiIiIiIiMk4kZmXw+Xtu4LLNL7Hv5V8DM/5PNpo2bwbJqzc4HWNELWM1y1jNbRQP+Dm9TQpLQZMynDAFH88wjweZyYEkk4yLBQRI7HJ6TxZuLiaX3UkctWwf0MAP2crZrGdDZHrZV8jiKWbzDHN5itk8xiwm9VKV+z1l2Kjy2Wio27Qdkzh6r9FgpbhcfDs5pdOy29IyuDYlzaFEIiIS7xIOP9zpCCIiIiLxahbwvLV2g9NBgMLIx1mOphgGj9MBRERGiicvl/xf3YZ3cgEVt9/ldJwRYQMBwgsXU7VqNcGXVzodR0QGwLNlYl75VERERlfK5DwKFu/sdAwRERERERERGWcSszM54udXM3npbjx+6qVOx4mJ+XssZIq1NL33aZdZTGPfVHxspoVnqeFy8gf8vMUkspKGjvs7EeDzqOjipHy8fJ9J3Za3EMaLwYzS9LJ2a2niO2zptGw+fr5MVsd9b6ScuDbqZ6ldMi5uYsqo5waDKZiEXbd2lPc7cJckp7IlFKIuHOaujEwSjK4ZLiIiPfPMm4d37hynY4iIiIjEq1nAw06HALDWVpu2C3llOp1lqFQ0E5FxJ+OSi2h47Q2a3nzb6SjDk5VDTTiFpv+scDqJiAxGcyuM+kEyERGZaOYeczBmAlxZXEREREREREScsfMpR7PxWyt4+1f/53SUEWOM4ZD9F9Py6js0OR0mRqJPALmBbfygh6JST37GZIpopSBSYZL45cOZElL7BLNocwj0uG44amrZE8wm1enpeJ74PjXKawx3pI/Z885ERGQUJRy5zOkIIiIiIvEsnR2TxBxljJkZ+TTdyRzDocvgiMi440pMYMpTD5Pz0x+SuOxQPAUDv1pf3EhNo6o1iab1W/pfV0Tii8fhg2UiIjIhZMye6nQEERERERERERnnjrnre5z17wfY7azjydttPm6f1+lIw3Lo0t1pefUdp2PEVDCq4PMqdQN+nsEwCZ9KZtKrvUliNxI4iOSOZeUEe1zXG/k5movf+ZIZQDjsdAIREZER4Zk5s/+VRERERCa2KqcDRMyKfIyL4ttQxPdle0REhsh4PKSf91XSz/sqAMHi7dQ8/DjVv3+Q4LYih9P1r3XmTjT/d3wf6BIZr0wwSM68WZSu3uB0FBERGcd8yUlORxARERERERGRCWD2EQcw+4gDAAi1trLplRWsvP8xPn7iOcKtrQ6nG7hF++xB0xurnI4RcyeTSQjLnZRwKhlOx5FxJBU3t9F28atnqeY2trONVp6iEgAXBhewhKSOollrVPHRSaHULFUoRURkXHAlJ/e/koiIiMjEVUVbwetFh3MALAMsKpqJiMQ3T34emZdeRMa3LqD2yacp++FPCZWWOh2rR9a4CLeE8GSlEyyvcjqOiAzBTq4wW/bZnW2fraexssbpOCIiMg55E/xORxARERERERGRCcbt9TLz0H2Zeei+HFVSzuu3/57Xb//DmCicJfu8eGdNoblwi9NRYuoY0gDYj2SydDqIxEgCLgA20cLddD/mvjdtF8kKxknRbMMra5lxwD64K4oJb9jgdBwREZEhM4GA0xFERERE4lkhcArwW6eDAOdHPqpoJiIyFhiPh9RTv4jx+Sg+7yKn4/TI2DD+T97Cn5tPVUI+zVuKnY4kIoPkWbuBGWxgelIiRQcu4ZNXNKFQRERGVjgUdjqCiIj0xRW5ydDotRMRERGJe0m5WRz+sytoqWvg7bv/7HScfr3y8tu4XC4O2XcPml9f5XScmFPJTGJpb5I4iXTKCWGxWGAjLWykBYC3qAfAFydzxFqq61n9z/cBS8EBe5Jes4lwaYnTsURERAYvFHI6gYhIfNHxuOHRayfjzzvA140x0621G50KYYw5D0gHlltrx+ykCr27KCITUsoJnydcV0fJ5ddCOE5P0i0pJj0nl/LMdIIVVU6nEZEhMPUNTHr9bTL23pV3122lUVMKRURkhDTX1DkdQURERERERESEo++8Hrffxxu3/97pKP0Kh8O8+PoqDt1vEc3/e9fpOCJjVgIuLiS30zKLZQUNbKaFJsK0YNmXZIcS9sZQ9OrHlKUmMvvAvbEr33I6kIiIyKCEa8bsecoiIiIio+Fe4DzgZuB0JwIYY2ZGcljgMScyjBR1UUVkwko763Rybvy+0zH6VlqCLz/L6RQiMkwJKz9gqRfSpxU4HUVERMaJhtIKpyOIiIiIiIiIiGBcLo687Rr2uewcp6MMWI2JjylLo6mFMA3E6cU3ZVwwGPYiiS+SwZfI4hyymU/A6Vg9aq1p4NN/fkjd/L2djiIiIjIoobIypyOIiIiIxC1r7UpgPXCKMeZyh2Isj/r8UYcyjAgVzURkQks8+ACnI/TLGP2qFhkP3GUV7JqaQPr0SR3LCnaZiy850cFUIiIyVtUV60CSiIiIiIiIiMSPOUcd6HSEAQtb63SEUXUvpRzLWr7AWv5LDSEm1tcv0putL31I6x77YRJ3HKtzLdwZ/H4HU4mIiPQuVFLidAQRERGReHc1YIBbjDHnjtZOjTGpxpi3gVm0TTO70Fo7psfRqr0gIhOad+4cXCkpTsfondcLbrfTKURkhPg+XcuikmKWHrAHByyaz8JPPmOfydkk52U7HU1ERMaYuuJSpyOIiIiIiIiIiHSYut8ipyMMWCAjzekIo6qeUMfnN1LMUazhExodTCQSPwr/tYqNdRk0774v29Pn88mL6ylNnoUrJ9fpaCIiIt2ES3R8UERERKQv1trHgRdoK5vdZ4x52BiTGst9GmMOpW2S2mLaSmaF1tr7Y7nP0aCimYhMaMYYvLNmOB2jRyYxgdqpO+mKaSLjjKs1SPIbK/F/8AnGgHfdBvb0hMmaPdXpaCIiMobUFelAkoiIiIiIiIjED19yEqlT8p2O0a+ll57Nom+d5XSMUdFCmH9RzVKSup0Y8m02U0KrI7lE4k3j9ko2PPseVZ9sBqDiw41s2O7FNWeuw8lEREQ6CxUXOx1BREREZCy4IOrzU4BKY8xPR7pwZow51Bjzb2A5kEFbua19n2OeimYiMuF5p09zOkI3rvR0KtKms/2tz8DndTqOiMSYe3sZuzbV4/b7nI4iIiJjRMW6zYRadTKQiIiIiIiIiMSPzDnxd8ytnXG5OPqu73HUL64jMCXP6TgxtZlmlrGaY1nL7WznhxQR7mG9X6ATlUV607i9krWrKjAZGU5HERER6dC6dh023NPf7ERERESknbW2EDiCHcUvA1xNW+HsbWPMFcaYPQa7XWNMaqRcdpMxZg1tBbPDo/ZjgSOstauG+zXEAxXNRGTCSzxof6cjdCqTufPyKLYZlH+wAYBQUG8QiEwEdbNnEmpucTqGiIiMEa31Daz87WNOxxARERERERER6TD7qAOdjtDBHXXszZuUyOl/+zV7RyaZBaZPIjB9slPRYu5rbBzQeito5Do209hjDU1EcpfMxlZWOh1DRESkQ7i0lPpHdXxQREREpD/W2ufZUTazkY8GWALcDLxjjAkZY8oj5bN/R9a7NlIkuydyeyTy+BqgkrZy2VXAbHYUzNqdaq19YXS+wtjzOB1ARMRpqWeeRtUDf6Tlk8+cCeB2s90/hYbyMgLZabRuaaSluqjj4dLXVpFzwBKa3l4FoZAzGUUk5hK3l4IxYK3TUUREZIz492U3sdtZx+NPSXY6ioiIdGUMuLq+rywDZvTaiYiIiIxF+1x6Dqt+/yTln613NIfb7+Nbn/6L5Pwc6ksrcHs9JOfndDzuSUlmrzcf5b0vfJOaN99zMGlszMXPWpoZyNGGt2nkJxRxI+O3eCcyVJWfbSPZ74fmZqejiIiIdKi89rskHnM0rtRUp6OIiDhPx+OGR8fjZJyz1j5vjNkTeAyYCR1vl0X/8GfQVj5rL6Od3MOmevrDEr2tKuAwa+27IxA7bmiimYhMeMbjIf/eu/Av2t2R/XtmzaR2fRGh5lbqt5bRUl3fbZ3SV9/Fu+tOmIDfgYQiMhq86zaw+KAlTscQEZExZO9vnaWSmYiIiIiIiIjEDY/fx6mP38nU/Rc7mmPa/otJnzEFT8BP2tSCTiWzdv68bJb850/knXq0Awlj6y6m8SAzeYKZHEdav+u/SfdjkyICDUUV1Ezd1ekYIiIinaSc/3WVzEREREQGyFq70lo7G7ifHVPNbJcb7CiTmR5u9PCc9seeB2aOt5IZqGgmIgKAf+F8pj77FDm3/gQ8ozvsMVxeQSA3o9/1KlZ8RMKS3UYhkYg4JaFeB3NFRGRgJu+9G4f99DKnY4iIiIiIiIiIdJK7yzy++spfOPnROwikO3MCbMXaTdSXlPe7njshwC5/uY3kXeeNQqrR48aQh5dUvHybPM4lu9Pj8/ETfTT0X8wd3YAiY0j1+hKnI4iIiHTwH3ggaVdd6XQMERERkTHHWnsBsCfwAp0LZNC9RNbTrV10wWyJtfYIa211zL8AB6hoJiISYVwu0s85i+wfXAeu0fv1GK6oYNqSaQNat/SND3AlBGKcSEQcY/tfRURExJ+azEkP3Y7b53M6ioiIiIiIiIhIN8YYdj7laE7448/wpSSN+v6rN23j5RvvGdC6xu1m+tXnxTiRs04ns9P9z2jmX8xjeeTm6XRejYiIiIjEI/fkyWT9+lcYt9vpKCIiIiJjUmS62TJgNnArsJ6eJ5j1dlsP3MeOgtm4m2IWTUUzEZEuMi48lyl/fZjAXkvAjM6BFVO8bUDrhZtbcCUlxDiNiDjFW14xar93RERk7Dru/h+TMWuq0zFERERERERERPo0//jD+MYHf2fnU4/Gl5w4qvte88x/B7yuPz8nhkniwwL8ne6X08r/qOMKNvNF1hLSlfCkFyEsK2ngGar5jCan44y65rIaTFqa0zFERGSCMwE/Wff/BndWZv8ri4iIiEifrLXrrbVXW2vnABnAKcAttJXIHqdtWtnzkfu3ABcAs621c6y1F473glk7j9MBRETiUcJ+S5n6zJMEi7dT/tNbqXnosZjuL7R5M0mTp1C/tSym+xGR+ObeUsTcfZew5n8T4u+hIiIyCJlzZzD3mIPY/SsnULB4Z6fjiIiIiIiIiIgMSPr0yZz8yB0Em1v48KF/8MJ1t1NXVBrz/Vau20T5mg1kzZ0R833FuxCWT2nutOxcNlAfVS47ijXcwCT2I3m040mcu49SnqSq4/7PmcLujG5x1EmhphaaZ+6Bb9X/nI4iIiITjTH499sX/377knTKKXimTHY6kYiIiMi4Y62tBp6I3CSKJpqJiPTBk59H3p0/J+/uX8R8X1nzJw1oPf90vXEgMp5NLtqGcbudjiEiInHkgOsu5Fuf/ouj7viuSmYiIiIiIiIiMiZ5/D72OOeLfOP9p5m0166jss/C5a8NaL2URQsxnvF7jd4w3U8Mqe9hgtkP2MY71I9KpvGshTAWy1qaWMZqjmQ1P2Iba2niDep4hmpax9AEuTVdSop/ohyAViwf0UgjYSdijaqNz3+Iq6DA6RgiIjKBuDIyyP3n0+Q+9ghpl12qkpmIiIiIjLrx+26piMgISj31izR/+BFV9/w2ZvsItYQGtF5taQ0p+yym6aPPCNXqYI/IeOPeXMT8fffi01ffcTqKiIjEgfnHH8qhN16KMcbpKCIiMgjG1XaTodFrJyIiIjJ+JWZncsqjd/DHz32Fqg1bY7ovf+rApnN5M9PZ5aHb2Pbbx6h48U1sa2tMc422OkKk4aaStmORC/FzAhnsSzKNhDmNwo51N9LCEpIIYnmRGpqxzMTPLiQ4FT+uWCz/pJq1NPMJTRRGSli7kcD7NPb4nDDwCnW8Ql3Hsl+wnUl4acGSjIsfMIlMPHgAX6QWWE6QZ6mmCcveJLKrA1PELJYygp2WtX+df6KMh6kkFw/3MJ1Uxu9FFMOtQWrTp5FUVOR0FBERmQhcLrJ+82v8e+zhdBIRkbin43HDo9dORPqiopmIyABl33A9ruRkKm69Y8S37UpLpfjt1QNat75wC/WFWzAeDxmLd8OX6Kd1/SZatm4f8Vwi4oyCDRtZ7fUQbg32v7KIiIxbyfk5HP+7n6pkJiIiIiIiIiLjSvqMKZz7+iM8dNyFbFvxYUz24U9LYcEJhw94/byTjyLv5KMIVtdS9sx/qfrfu5Q9/SJNm7bFJN9oupViKgmRjps7mUYBXloI8wp1PE1Vx3ou4HjSAfg9ZTxKZbdt/YACDiBlyFksFsPYfa/rfRr5JSU9Lh+sbbQVGsuAq9hCaaTQ5QVcGJqjpp49Tw2/YTqvUMtBpIxaqeu/1FFEK14MKbioiJQVg1iKI3lLCHIS63iWubjH8Pe2P1tefJ+FB8whvG6t01FERGScS73iOwQOPMDpGCIiIiIywamLKiIyQMYYsq66jJyf/nDEtx2etzOh5sFdHdEGg1S89SHFL63Ak5s94plExDmu4hIW7LuH0zFERMRhn7/3BhKzMpyOISIiIiIiIiIy4pLzczj7pQeZf/yhMdn+vpd/FV9y0qCf50lLIf+MzzP/l98lYdaUGCQbfe0Fpjw8rKOJX1PC2WzgZxTzMU0AXE4e/2YenkhRqC5SKOrqBgY+0amWEL+jjGWs7rgdwRpOZR2hqBLVWFLby+syC9+wtlsaNTWsFTqVzADKCHIdW/glJVzFFup7yTGS/kMNP4l8v1uxHSUzgA9o5GjSOq3fMka/pwNnKGse/O8UERGRwfDtvRepF3/L6RgiIiIiMgzGmJOMMf82xjzrdJbhUNFMRGSQ0s/7Knn33AGekRkKaZKS2PT6miE91+XzkrfXTjS8+9GIZBGR+JG7Zh2ehIDTMURExCG7nXU8848/zOkYIiIiIiIiIiIx40tK5NQnf8XeF395RLebmJ3BPpecPeTnt5RVsGL/M6h86a0RTOWcU8kE4DOauYEi/koVZQTxYtiTRO5jOkdFlYa+x1aeoabX7dkBFopuo5iHqOi2vJIQd/UwFWwsWEpyx+f7k8Ry5vE1sthICz0d0RnJWtJqmgFYRzMnso5/UT2CW+9uJQ0AJOLi8KgpdseRxgICLCaRc8jiZDJ4hFkkTIDTj0rfXoNr192djiEiIuOUSUkh61d3YtyjM7lURERERGJmL2BZ5DZmjf93ekREYiD15BOZ9H8PYBIThrcht5u6SfNoqaob0tN9Wek0rPp4eBlEJC65S8tZuPcuTscQEREHJOfncNQvv+t0DBERERERERGRmHO53Rx95/Ucdef1GNfwT1/wJiZw2l9/hT81uf+Ve9Hw2Xqq31g17CzxYgkJpLPjhOUpeLiEXJ5iNjcxhZn4Ox57lmpWUN/rtlJxYyJTz/rzWh/bWR8pTY0lYSwro76mksgUsiUkEIbIbLjOen8FhubQSOHLAr9gO+VRk9BG2iZaALiMPE4io2P5KWR0lMrOJIsLyCGTkblA61iwtbAeVAAQEZEYyLjpJ3imjI+JuiIiIiITXLrTAUaCimYiIkOUdNghTP3HE6R99cu4s7OGtI2mhYspev2TIWdoKiolcb89h/x8EYlvmduKnI4gIiIOOORH3yYhM93pGCIiIiIiIiIio2bpxV/mKy/+kcXnn0Zidkb/T+iBJyHAl/55L9MOGN6xs/T9lzDjuguHtY148gRVVBHquL+FIL+ihGNZy5co5HXqKKGVa9nCbWzvs7pUE7WdvlREbWUSXpYzj2vJ71g2lopJ/6WWZazmSNZwPds6lvtx8QmNfI8i8rqU79L7ORUnEUPBIF4DAxxCMp6o/VggOMDpcoNlsWyIFM2m4+uYQJeCi1QmdsmqZu02XHPnOx1DRETGGf8B+5P0xROdjiEiIiIiI2OW0wFGgopmIiLD4N91Z3JvuZHpr/+HpKOPGPgTfV5ad1/Klpc+GHaG7f9dgQn4+19RRMacLVnZTkcQEZFRZtxudj3jWKdjiIiIiIiIiIiMuhkH781x9/6Ib63+N7uc8flBPTc5P4czn7mPGYcsHZEss264GMzAJnfFu51J6LasvS5WSpDvs40zWc8KGvrd1g0UDGif0a9cKUGCWH7O9o5l55MzoO047QVquJHuFwWcjJdryecJKqkgRHGXwlcV4T6324ClaBDTyP7ADD6lieeo6bS8LEYTzcoJ0kAYF9BImI8j89puYgpJE7xolrfvAsKffux0DBERGWeSTj/N6QgiIiIiMgKMMWnA4U7nGAlj5zJRIiJxzJ2eRsHvf0Pp9T+i+rd/6H296dNozZ7MtpXraXrhvRHau8GblU7L1u39ryoiY0Y4OYn1Kz5yOoaIiIyy/D0W4EtOcjqGiIiIiIiIiIhjEjLS+OKff07urvN48brbe13P5fEw5+gD2e2s45l33KF4EwIjlsHl8eDNzqC1tGLEtumUfUniMFJ4gdphb2spyQNaLwMPF5LDbyilFctjVJKGi7JIxS1nDJyq8j4N/Izibst9GK6ngFy8nEwG79JAK5bGGE0XC2D4JdspjiqVBYDvkN9jiXAkbIxMMwsDl7C5U5aJLjPV9lMjFBERGTz/vvs4HUFERERkVBljUp3OMMJmRW7XOh1kpMT/u3ciImOEcbvJ+ekP8UydzJZHnqN6UwmBtGT8qQGMMdQVV1H1zmagZMT37U5PBRXNRMaVxp3nEX5tpAqpIiIyVsz43MhcdVtERBzmMm03GRq9diIiIiITnjGGA6+9gOwFs6jZXMTcYw6mpa6Bmq3baa6pIyEzjUl77kJiVkbMMvgn542LopnB8B3yuhXN8vCwfRATsfyAexBFo5PI4CmqKKaV31HW6bFPaWQXEge8LSfUdqkT7UECq2ikBUsCLgAWkMATzOEnbOMl6kZs3252TJ37Gtkk42IljQCk4eYuplKAb8T211V70SzaiaQzHX/M9jkWeJIChD/VRSJFRGRkeebOxVMwsKmxIiLShY7HDY9eO3FWFcToqj3OszD2r9ajopmIyAgyxpD5zfOxC3ej+LhvULeha/krNv/dcCVp6oXIeFMa6n8dEREZf3Y+9WinI4iIiIiIiIiIxI2FJy7rdD9/j4Wjtu/AtALqVn0yavuLJS8GF3RUp/YmgbcixaWBmkP3iXE2cj6Q6eUY6C1M5ttsporOBz2ScQ9q305o6FI0W0Qil5JHBh4SI0UzgFpCAyqZJcCAX/H2V+tAkjmQFG5gW8dj36UgpiUz6F40+zMzycUb032OBfl7z4FP33I6hoiIjDNJXzzB6QgiIiIiThnzZaxejIsCnav/VUREZLCyPrcPC38xetMv6ytqMR51h0XGC+vxsPnDNU7HEBGRUZaYk8mkJbs4HUNERERERERERIBZ378I4xsf5RqDYXJUUWgwJbNDSOYoUmnCcj+lNEcKWJ/QyOkUcgRreIf6Hp9bgI/fM4Nvk4s/6tyhljFwvs2KqK8pAcNBpDAZX6eSGcDz1Axoe11f8UA/51J9nSy+SAYXsZFPaSIZFz9lMotGYRLcBpo73VfJrE2yf+ATAEVERAYqcMSy/lcSERERGX8KaStkjcfbuKCimYhIjPhyM0dtX7WfridRJyWLjBvNu8ynpa7B6RgiIjLKZn5uKcalf6aLiIiIiIiIiMSD1CW7kH/G552OMWJOY+DHLqdHFYteoo5nqWEdzTxKJb+nDIC/UUUFIU4lgyeo7HVbybg5jnQuJheAC8nBG+cXrF5DEy9S23H/W+R2SryRZn7Jdt6ill9TOqR9NHU576jrjLe/UsUVbKaCEDPwcTfT2IukIe1rMCy200SzXUmI+T7HAneCHz772OkYIiIyzrjz8/AuWOB0DBEREREnVNF5opmJ4S2W++ht22Oext+IiMRIzapPR3eHrq6HH0RkrKpIiP3VKEVEJP5M2mtXpyOIiIiIiIiIiEgUd/L4eb/+CFJ5lEo20cI0vBxKKn+gvMd1N9La63ZKaJvqdA7Z/Ida/koVP2Vyv/tfRiqT8TGfQFwXzd6mnuvY2nE/HRfraGY+AQDChLmYjTQCz1Ld6bluIDTI/e1CgFPJ5O9U8nbU3LPyyJYOIpkryCdhlK4jHaTzxLljSRuV/ca7vL3nYFe/7XQMEREZZ3yLF2NM/P69SERERCSGCoHFtJWyLHAfsDyyvGqE9pEO3B/ZTyFwb+Qjw9xHOpAJLAFOjdx/B7gJurxZNIapaCYiEiO1qz4Z1f3ZpqZR3Z+IxIa1sHn1RqdjiIiIA7Lmz3Q6goiIiIiIiIiIRGnaXOR0hBFjMNzFNKoJUYCXLbR0FM38GJq7TNhqNwcfayMTrvYniUvIAyAfL/9iLkEsvgGUoFwYdhkD07HcXUpwl5HLfqTyKY0cwepOr1Iw6vNEXBxGMs9TixfDBeSQhItU3KTi5i9U0EiIE0ljIUkEol6zF6npKJldTh4Hk8ITVJKBm2NIw4xiMc+L4QYm8TGNTMLHoaSM2r7jWWqi7eVPiIiIyNB55sx2OoKIiIiIUyoiHy1wn7X2GyO5cWNMKvAobSWz8621vx3J7UfcD1xojLkK+FlkP0fFYD+OUNFMRCRGaj9YPar7M+7RuYqdiMRWcP5s6j5e73QMERFxQOqUfKcjiIiIiIiIiIhIFHfA73SEEZWIi8RIwSkDd8fys8niPsp6fM5aWjiPbE4ls9tjLgy+AZSg/kolf6aCakLsRIA7mDqq5anBWBCpgIUj9z+mGUMdj1DRa9HoMvI4JjL569v0/B7ftRT0uHw9zfyC7QCcQSZHRbZzFllD/RKGbS+S2Iskx/Yfb9x+L6z+2OkYIiIyDnkm9z8VVkRERGScWhf1+WMx2P6LwCxgibX23Rhsv4O19hZjzOPACmPMs+OlbKaimYhIjDRt3T66O/T5Rnd/IhITVTlZgIpmIiITUerkPKcjiIjISDEwgAv6S2/i83xTEREREZmAfPnZTkeImYvY1PF5+2QzgFzclBDqtO5qmoa8n5eo5deUdtz/mCaeoooTyRjyNmMpERcBXDREqmYvUM3fqGI6PhIxNHSpmy0jtaNk1p9HqaCQZs4miwJ81BHih2yjCctiEjnbwXKZ9C53rznYde84HUNERMYh96RJTkcQERnbdDxueHQ8TpxVFfX5ipHcsDHmOWAmMNNaWz2S2+6NtbbQGLMnbWWzh621p4/GfmNJv15FRGLEnZQwqvsL6299IuPCtq2l/a8kIiLjjsvrJTE7Pk+uERERERERERGZqNL22cPpCDHRSJittHbcb4kqT3UtmQG8R8OQ9/UTirotC/Y6Gyw+zGDHBT6rCLOYRL5DHt/tMpVsGalc1csEs66KaOF+yniBWr7CBi5nEyeyjm20koeH6yjAreO9cSktVadWiYhIbLgLep54KiIiIjIBFLZ/Yq2tGamNGmNOAg4HDhutklk7a21hZN+nGmPOHc19x4LeDRERiRFPctKo7q923dZR3Z+IjLzQ5HzK1m50OoaIiDjA4/diXPonuoiIiIiIiIhIPMk8Yn+M2+10jBEXwJDJwL+uBQz9ApsPMavbsvso63S/jFYuZzNXspmWyCQxJ30cmeAWwPA5kglieZIqvsu2jnXcwOXkDXibpQQ73X8/akrc95lE2iC+HzJ6XF4PrP3U6RgiIjJOmYSA0xFEREREnFIIvBu5jaSbgZuttatGeLsDYq1dCVwD3OLE/keSzmITEYkRd8roFs0at24ncY+dRnWfIjKy6mZMczqCiIg4JBxy/gQaERERERERERHpzJeVQd4ZxzodY8QZDH/pUgBbgL/X9d+gnpoeJp0NRDaeHpfbqKlmL1PH+zSyikaOZS2vUzekfY20Jiwf0sj7NPJvOl9c+2nmDGoCWUsvU9y+QDrz0Enm8Sp377nY2lqnY4iIyHgVHNrfr0RERETGOmvtemvtEmvtniO1zcg0s5nATSO1zaGw1t7SFsdc7mSO4VLRTEQkRrxpyaO+zxarX+siY1lxdXwcOBURkdEXbGrG2p5PNhEREREREREREefMuOZ8pyPERNeS1G1MJa+XUlgGbhKGcXrJo11KbctIxUTt/whSOz3+/ajJYU7Yhx0XFC0iRFOkJBb9CvgG+Xq09lI0+zKZg84noyctXZPmREQkdmxTU/8riYiIiMhALQOet9bW9Ltm7N0PXOh0iOFQI0FEJEayjth/1PdZ+c5HBObMGPX9isjwhVNT2PrBGqdjiIiIU6yltaHR6RQiIiIiIiIiItJF8s5zyT3pSKdjxMS3yO34/GaKOYgdF9I0wDlk8QSz+T9m4h3E9K6uMvDwNHP4FrnczTSuIr/T48m4Semy/UqCQ97fUFksRbRwEundHjuBNFIjp9icTMagt91b0ax10FuS0WLcLsy6z5yOISIi41i4XhcjFhERERlBhwMrnQ4R8Qgwyxgzw+kgQ6WimYhIjGTsv8SR/dqWFkf2KyLDY9OSmbZogdMxRETEQS219U5HEBERERERERGRHoTG6QWC5uLv+Pxl6iiPKnedSjrLSCUJ16Cnd/UkARdfIJ15BHp8/H5mdLqfyuhPkrqd7XyFDVzJ1m6PPUU1VYSBoZXguhbN2ot74V4KaOK8QFYqzJrrdAwRERnHbJ2ODYqIiIiMoFnA206HALDWrqTtOk6Lnc4yVB6nA4iIjFcpu80f/X0umEXz2nWjvl8RGT735iJmeDxsdDqIiIg4prGyhuT8HKdjiIiIiIiIiIhIlJayCsr/9bLTMWJiE50vYPkiO6ZqPEIVj1AFwHPMxQxjotlAZOHlaeawmiZ2IQF3jPfXVTNhnqVmQOu+QT0/Yhsf0kgOHnLw8AXSWUQSq2nih2yjiTCtWFqxTMXXqdQHbdPTAD6kkUPxjvjXI8PXWFLFp89WM7/ABeGw03FERGQcCldWOh1BRERERGKnEMh0OsRQqWgmIhIj/pxMfHnZtGwvG7V91n5aSO6uc2j8ZO2o7VNERo6rtMLpCCIi4qD67WXkLJztdAwRERkJLtN2k6HRayciIiIiccSXnUn+WcdT/H9POx1lxB1CCutoZistvE1Dr+u1YvGNQvErARe7kxjz/aylibeo51jSSYtMTmti4EWiesK8EinlVRJiNc28Rj2ZuKkg1G39DbSwoUupr30m2oOUcyipQ/tCJPbCFldWNuHSEqeTiIjIOBQqKXU6gojI2KbjccOj107Gp1lOB4iSCaQ7HWKoVDQTEYmhlN3mU7589IpmYGiJHAwRkbGldfYMmrMzMa+/j9VVEUVEJqSardudjiAiIiIiIiIiIj2Ye8uVlD71PKG63stYY1EAFxeRC8BfqeR+SmkFpuBlAQG8GBYQwIfL2aAjqIRWvsEmAKbho5xW7qWc1siEseHoqWTWn+AI7FdiI3V2AWkzsqF8o9NRRERknApt2+Z0BBEREZHxpBCIpyt8p9OWaUxS0UxEJIZSd5tP+fLXRnWfVR+sIWf/xbR89BnhuvpR3beIDE3YuHi/oZWq11Y5HUVERBxUsUYnLIiIiIiIiIiIxCN/QS6LnvsdH3/1Who+W+90nJg4kQxOJMPpGDGXGnXRzhsoGpFtXkYuFvg9ZVT3MhntDDJ4iMpuy8sIUk+IJF1MNM5YJudZwh+/OYhZdyIiIoPTunad0xFERERExpNC4FTgG04HMcYcBligyuEoQzZ+LjslIhKHkned58h+S19bRUtSKgm7zHdk/yIyOE177UbV5pE5mCkiImNXyQernY4gIiIiIiIiIiK9SN93EUtX/Y3pV58HxjgdR4YogIuTR7BQNwc/x5DOsaTzUyZjAC+G6J8QL5DVy3Wgg8Br1I1YHhkZBQfsRHj9mL3ouIiIjBGtH3/sdAQRERGR8eR5IN0Yc6LTQYALIh9XOJpiGFQ0ExGJIX9elmP7bty6ndIPC0naew/HMohI/6yFdRU6gCgiIlC5fovTEUREREREREREpA/ugJ+5P7uC3f76K4zP63QcGaKzyBzW8xOjamTJUcvnkcAvmcpMfEzFRzYuEjGcQgY+OpcTo0/WeXrsXtx6nLKkU+10CBERmQDC5eWEa2udjiEiIiIyXjwGGOBmJ0MYY2YCJwMrrbU1TmYZDhXNRERiqHrFh47u3wZDbH/rIxJ3W+hoDhHpXctuCyn5VFdEFBERqN64zekIIiIiIiIiIiIyALlfOJxdH/4FuHTKxViUhJuThjHVrAHb8fkqmjs99gBlrKaZTbRQRpgGLE9Qyb2UdVpvFwJcRx4An9FMDaEh55GRlb/vAsLr1jodQ0REJojgZl2IUkRERGQkWGvXA+8Cs40xv3YwynLAAvc6mGHY9K6niEgMtVY6X0S2wRDla7finzXN6Sgi0oNNxu10BBERiRONFVWEWludjiEiIiIiIiIiIgOQe+IyFt7/YzCm/5Ul7lxIDldHil4jIUyYSoLsT1K3x5qBesKdlr1PEz9lO5m0HSfa0KWwJk6xZPganA4hIiITSLikxOkIIiIiIuPJ1bRNNbvAGPPT0d65MeYRYBZQBTw62vsfSR6nA4iIjGcJ0wqcjgBAsKaOymCIrP32JLytmOYNuhqOjCeWtJ1mkD4jCzchrHERxhAKWkKtYULNrbQ2tBCsb6SlppFgVR2hpmba/i7prNbZM9i08mOnY4iISBxprKgmOS/b6RgiIjJcLsDl/L85xixdHk1ERERExojJXzuZ1CW7UPTg39h678OE6lRQGUsK8A57G4kYjmcNjVFTzgYjFHle8xCfH0+Sd5tP9rGHkDBrKqH6BoJVtQSra2mtqun4fMfHGoLVddhg0OnYneQtXUB49btOxxARkQkkVFHhdAQRkbFLx+OGR8fjZByy1j5vjHkBOAy42hgzy1p7eqz3a4xJBV4AltA2zexqa63z02qGQUUzEZEYmnr+aaz/+e9o2lLsdBRCDY2UvLwSV8BP7pJdqX/nA6cjiQyZLzuVrF1nkBiwsKkQW7kaVrU9ZgB35NaNC8gEvF5MchImIRESEsHvx3p8WLcHi4uwNTRUNVH6v4+IZSFtW2YmsClm2xcRkbHHmxhwOoKIiIiIiIiIiAxCyu4LSNl9AZPPPZlVx11I4zq97z9WmBE4BpSIoazLtLKusnBT0VEp6yw07ATOSZg1lYxD9yHzsH3JPHQffLlZg3q+tZZwY1Nb8aymjmB1XdTntR33W4pKKf7z3wnVx7rIaclMaOrnuykiIjKyTIKODYqIiIiMsAuAtZHPTzHGLAOustY+EIudGWOuAK4F0mkrma201v42FvsaTSqaiYjEkDshwORzTmTdjfc4HaVDuKmZ7Ss+IXvhbJo+Xed0HJGBcbvI3GM2qfkpeKpLCBeug89Kh35tx9ZWbGUltrKy20PtRbUUIO3g+ZTXeKh8d2239YYrNCmPdW+p8CkiIju4PB58yUlOxxARERERERERkSFIWjibJS/+kTf2OIFgZbXTcaQPj1HBc9SwBwnD3lZ0yewgknmZum7rVPVQMvMAh5DCapqoIxzDyx6OHF9u1o5i2WH7kDBz6rC2Z4zBnZiAOzEBf0Fun+vOvvFSNv78ATb/6s+EGxqHtd/e5Ow5j/Bn78Vk2yIiIr1xZWQ4HUFERERkXLHWFhpjjgCeo634lQHcZ4y5BrgXeN5au2o4+zDG7AGcBlzVvijysZK2aWpjnopmIiIxln3EAXFVNAOwoTA2JcXpGCJ9sCTNmkTGnHwCNGELV2OLPoQiRvUqguE1n5EBZB2xOyWb6qn5dPOIbbtkxjTsptIR256IiIx9+YsWYsxYOKVERERERERERER6Epg2icnnncLGW8b8RYvHtfsoA2ADLUN6vovux6uScfFKDyWz3p7/L+YBcAEbhpRhNHjSU8k4eC8yPreUzMP2JWnnuY69f+nLyWTuzVcy/fKvsfHW37L57r8Qbmwa0X1kpwYJbx3RTYqIiPTN78e3YIHTKURERETGHWvt88aYC4Hf0FY2M8Bs4GYAY0wV8DzwNlAIVAEVUR8BMmmbUtb+cS9gMXB41K6i3yipBPa01taM+BfkABXNRERiLH2f3XEnJxKqa3A6SofkOdMIril0OoYIAMbjJmX2JJImZRBI8uBursMWb8OWb4APN4xqsaw34Q/fI9sYco5eQtGHxTRsHl5BLJyRxuq3PxqhdCIiMl7sddGZTkcQEREREREREZFhKPrz02z8+e+cjiH9OJY0nqG625SxgbiKPHJxcwXbOpYl4aKujyNap5POn6nquB8GwoRx4epY5uTlp4zXS+K8GSTvPIekXeaSvPNcknaeQ+Kc6Ri328Fk3flys5h769VMu+JcNt76AFt+PTKFs+zFswl/8sEIJBQRERm4pFNPwZWe7nQMERERkXHJWntf5II57WUz2PEWTAZwcuQ2WNFv47SX2KqAw62164cUNg6paCYiEmMur5fURTtR+coKp6MAkDh9Et66aoJV46IwLWOKJXFqLsnTcgikBfDaFkxlOeFtW6B2LXzWtlY8FMt6ZC32vRXke73YY5ew9Y1CWsqrh7Spip3mE/xvfPxOEBGR+JCcn8Mupx/rdAwRERERERERERmibX96io/PuQbsUOpLMpouJY+TSOdrbBz0c29hO9eQO6jnrKCx27LXqedV6thOEBidopnxeUmaP5OkneeStNNsknaaQ/LOc0iYPQ2X1zsKCUaOPy+beT+/mulXfI2Nt/yWLfc8RLipecjby8mEcNEIBhQREemPy0XqNy90OoWIiIjIuBYpm60AHgNmQqfrDg317Ziu23gcOM9aO7QTiuOUimYiIqMgdY+FcVE0c/l9JPoMzVsrnY4i45w3PZmU2QUkZifjc4dx1Vdjt23B1m+B9VuAtr9pjclDra2tmHffYGpmEsGli9ny0seEGgZ+pUQb8LP6/dUxDCgiImPR3hefhcfvczqGiIiIiIiIiIgMQeXLb/PJ165TyWyMeJIK7qFsyM//GSWd7tcTxg2Eell/Nd0LUD+kc6spfQRP33H5fSRGCmXJO88haac5JO00u61Q5hlfpwn583OYd/u1TL/yXDbcfD9bf/Mw4eaWQW0je49ZhD/SNDMRERldiV84Hs/06U7HEBERERn3rLUrjTGLgeuAK9sXM7xTmA1QCFxtrX1imBHj0vh6B0lEJE6l7D7f6QgA5O2zC3WvOV94k/HDnZRAypwCEnNS8fsN7uY6bEkxtqwMisppP0YWt1PKhsHW1+Ne9TozZmbSPGURW194Hxvs7RDiDjVLdqdR08xERCSKPzWZJRec5nQMEREREREREREZgubiUj488wpsqP9jBBIfhlMy681TzOE41vb4mKH3M5f8GG5gErPwD3qf7pSkthLZwtkkLZzV9nGnOSTMmIxxuwe9vbHMX5DL/Du+y4yrvs6Gn93P1vseGXDhLCfbEN4e44AiIiLR3G5SL7nY6RQiIiIiE0Zk2tjVxpif0rlwBgMrnEVPPxvXBbN2KpqJiIyClF3mOR2B3IMWq2QmI2ba0YvxFa8nvL0YSqugtG35eCyU9cdWVuCrfIPZu0+iPnUKRf9ZRW8TdcMuF5+t2TSq+UREJL7lL9qJI267msSsDKejiIjISDKAy+kQY1jP/6QSEREREYk7wdo6Vh17Ac1bip2OIoOwED+f9DBlrCf3MZ0r2ExNH0fB5uAn0Mc/Avs6fvYF0llC0oCytNv5TzeTcei++CflYoz+ARXNPymP+Xdez/Srz2Pjzf0XzrJ2n6lpZiIiMqo88+eRdtWVeOc5fy6ZiMiYp+Nxw6N/TsoE1F44o610dhiwDDgZmNXH06qAFcBjwPPW2vWxzhkPVDQTERkFCTOnOLr/lIUzaXzzXUczyPhhvB68Gz4mXF3tdJS4Ei7aRkLRNubsO5MaVzolr31E13+N1e+9iNpX9WdRRERg2gFLOPiHFzPz0H10MoiIiIiIiIiIyBj10dnXULvyI6djyCAdSiqftF9FsYs03FSzYzrdTPwcRzp/pqLH9Q8nhW+RC7Sd3zjYizIO5JLZ0ZL3WEj+WV/Qe4r9CExuK5zNuOY8Ntx8P1vv7blwlpvjIlziQEAREZlwAoccTMpF38S/377677iIiIhIHLDWvgC8AFwDYIxJAzKB9MgqhZFi2oSkHq+IyCjw5WTiSgg4tn+3349x6U0KGRm5+yzAqmTWq/DG9SSvf5c5B88kc8ncTo+VNLc6lEpEROLJ5268lHNe/jOzDtOBJBERERERERGRsSxYXet0BBmCE8jo9bHokhmAxfJfev8+X00BSbgBeLiPi1/vTWKn+1PxAoMvpk05/1S9pzgI/kl5zP/l9exf+DxTL/kKroC/47GE3HTCaz51MJ2IiEwUWffcTc5f/o/A/vvpv+MiIiIiccpaW22tXW+tfTdym9AnSqtoJiIyCowxJMyY7Nj+q1Z9ip0+Hd+kPMcyyPiRkhDqfyUhvOYz0os+ZM4RC0ic3vZnb+b6Df/P3l3HyVXf+x9/f8fW3ZJsdONGPBDBCQ4tEmhpgbaUBOpKSttbue1tC5XbW/1B9fbWsAp1pIUiAULcbeO2STbrPvP9/bEb3yS7O/IdeT0fj3nszsyZc167SDZ75nO+6jduuOMyAIBLpRNG6cIHF3ISCQAAAAAAIAlM+cdPVPHFD0r8ricuLVWj7tN2bVDzSY8393C8a4D8OqQO7daZLyR4vTbrPdqmX+uQNqhZNyjvtG0+qlLNVfZJj3nV+e+M7cWaZp6MdPW744Yeb4/j0gaUafS3P6M5lc+pfMHtkjFqrqpRdclYmdxc13kAgCSWefNNynzLja4zAAAAgF5h0AwAYiSzYpDT49dv2Kb6pg6lORx4Q+ILFOUptGGN64yEElqzUv28VSq7cII8NXUat3OnBk8b7zoLAODIRZ97n4yHv4oDAAAAAAAkA4/Pp4rPfUCT/vgDhs3i0Ke0R1vVpg9q10mPZ/TwrTKnrm7WnVZZ7VK7fqZqfVH7NFRpuviUobJrla9nVHfSY9vVJkmqVGuPWiSp7LZr5MvL6fH2OF1a/1KNfeQ/NfONJ+TNytTBN7doT3uxPOWcQwcARIHPp7xPftx1BQAAANBrvLsNAGLE9aCZJLUdOiJbVOw6AwmsdEaF1NHhOiPxtLQoK9crSTItrRqxZp1Gzp7iOAoAEGsl40dq3C1Xuc4AAAAAAABAhJXccJn63XG96wz0wkXKOuc2jQrpDm3r8T6Dkv6mGk1XpgKSfJKuUedg2PXKP8Nrer6iWfm983u8Lc4ud/pEZY4aKkmqr9yvysoOeUaPdRsFAEg62e+4Q74hQ1xnAAAAAL3GoBkAxEhW1y+qXTv8+ip5c8594gToTnrDIdcJCcvT2nzscxMMatDrSzX+4ukOiwAAsXbx59/PamYAAAAAAABJqnzh21wnoBcWqX9U9rtFbfqmqvQXjdLfNEof6zrO5crVsxqlSco4afueXt4xc0yF8mZPjXBtaksfenwVs9bqem18ZY/MFM7dAQAiw2RkKPcjH3KdAQAAAPQJ73ADgBjJnTrOdYIkKXf8SAXrG11nIAHljCpXqHKL64zEVV970l1jpLKX39Bkhs0AICUUjhzKamYAkEo8hlu4NwAAACDBHPrLC64T0AuBPrxdZrTS9KxGaYB83T7vPeHzXWrrdptTVzAbpbQeHbv8nltlDH9XiqSMYQNPuh9q79CGv65VaOpsR0UAgGSSfded8paVuc4AgOTm+lxWMtwA4AwYNAOAGPEX5LlOkCRlFee6TkCCKhrJL8DCYZu6H/Csa+n+RCMAILmMuuFSVjMDAAAAAABIUqG2Nu372e9cZ6CXevvbuu9piGrUob3drEOWJaP/1RBJkpGUJY/2qk2f0x7dqi1aosau505+I9+QHgyaGZ9P/e96ay9rcS6+/JzTHjM+n3xt9Q5qAADJJuO6a10nAAAAAH3W/WWWAAARF2pvd3Zsf0GuckcPlTfgV/Pq9c46kMCM5NuzVSHXHQnMeE/+satj6EBtzc7V7tdXOSoCAMTS0ItnuE4AAAAAAABABNlgUHXL1qphxQY1rNuitqrDrpNwFr/WYV2tPBWe8DaZ3p73alCH3q3t3T6XK5/KlKanVKGQJCuru0/Y9tPao99puIYqoNVqVqG8ultFulb55zxu8Y2XKVBa1MtanIttP3lgsHjqcJVkNiu0ZrWjIgBAsjBZWQpMnuQ6AwAAAOgzBs0AIEZadu6L+TFzx49QmjrUsrFSbW+uiPnxkTz6XzpJoQ1vuM5IbGmdV6S0aQEdmj5Za15doVD7XsdRAIBYGThriusEAAAAAAAARIANBrXqto/oyPOL1VHLykeJokQ+/UBV+oz6H1tVbJD82qWeXyz0VTWqVbbb51q6xtZyu96G8ydVn/T8dGUoWx7lyCtJukg5PRoyMz6fhj24oMeN6LlgQ5MkKbO8WIPPK5Vd8SYX3QQARETajOkyPt6aCwAAgMTFT7MAECN7f/3nmB+zrbpWqjsS8+MiuWQMKFLm7vVnOG2GngoV9VPT9H5au6tKdS++6ToHABBDJeNHKquk0HUGAAAAAAAAIsHjkW1vZ8gswXxbB1Qqv76u/XpW5/5n55M0Uen6sgbo7dquOoX0hhr1aw3TP1SrjWpVmoz2ql3r1KJaBdWmkALySJK2nzLAdo3yjw249caIr31cudMn9vp1ODtrreqXrNSI6ybLu3ap7IqdrpMAAEkk7cK5rhMAAACAsHhcBwBAqqhftTHmx2zZd1BZ0zjxgHBYlY8tkG3gZGm4trR4tfi11arbc8B1CgAgxkZed7HrBAAAAAAAAESIMUbDPvs+1xnopTZJu9V+xiEz7yn3OyTNVpbeVIsGKyBJ2qJW5cun21Wkz2mAFqm/7lSRJCkk6UZtUdMZ1sRqULDXzUXXXKTBH31Xr1+HcwsePqzS3W/Ku+xVqbXVdQ4AIMlkXHWV6wQAAAAgLKxoBgAxYjy9v0JdJDQcrHFyXCSHgVdNVWj1a64zkoLfw5pwAJBK+k8dr6q1myVrNfP973CdAwAAAAAAgAjKm3me8uZMVe0ry1yn4CxK5NNBdUiSsuRR4xmGwCR1Owb2fR2WpGPrkB1UhzapRU+qWiOUrtFK11AFlC6jFlkFJf1AVRqmNL2hxpP21aKTzxP9QTV6WQ2ysrKSrKSgrBoVUlDSV/LH6OM//5qMh+tHR4MnK0vq6HCdAQBIEr6hQ2RbWxXct18Z118nf8Uw10kAAABAWBg0A4AY6f/261W/+lsxP279+krl5aYr1NQS82MjseWMKFdg03LXGUmjXE2uEwAAMVIyfqQWLP2dqtZu1pa/v6S8wQNcJwEAAAAAACDCCi+fxaBZnDtx0Gy00rRMzX3az9ERsTZZvV87JUn/UsOx5wvlVUvXqNo/VNftPn6og3pB9Vqv4+dsD+nMg06frtmgj+Zm9akX5+bJyFD65Zep5ZlnXacAAJJA4Q++p8DEiar75n8r67ZbXecAAAAAYWPQDABipP1wjaMjG6UNLlfzhq2Ojo+E5PWorJ9HocpW1yVJw7dulSbPOE8rlmx2nQIAiDLjMdq3fJ36Txmn0vEjXecAAFzwdN3QN3zvAAAAkACyJ/B7n3i37oShrlV9HDI7m1L5VKUOVXcNmXkkXahs+WQUlNUetWuH2tTWNap24pDZuVx11VVKS0uLeDOOy//Mp7X/hReltjbXKQCABNexZav8o0cr74FPuE4BgNTC+bjw8L0DcBYMmgFAjFT9+V9Ojlt60VS1rljj5NhIXEOumqzQisWuM5LOjLRarfJ6FAqGXKcAAKKoavUmPTr1Jt3+++9rzFuvcJ0DAAAAAACACGvetkvbv/qo6wycokNWt2ir5ihbn1DZSc8NkF871R6xY2XI6FeqUJNC2qFW1SmooUpTmfwnbVeroJaqUZKULo9Wq1m/0xGd6UyRR0b3LrhX//Od78gYE7FenM4/coRyP/Ih1T38DdcpAIAEV/2hjyjw8/9V2Z+fdp0CAAAARASDZgAQAy17Dqhx4zY3B6+rU6ip51fHA/LGD5V3zRLXGclp5w5dddUs/e2vK1yXAACiLC0vR8OvnOM6AwAAAAAAAFFQ8/JS1S9f5zoDp1ilZjUppGdVp1tUcNJzxfJFdNBstNIlSZnyaKwyzrhdnry6TLnH7s9Wtu5Wkawkc8JNknw52Zq17PfKGTE0Yp04u9z33a+mJ3+njspK1ykAgASXefPNrhMAAACAiGHRQwCIgeZd+5wd25Of7+zYSDyegE8lOa1SR4frlKQ16PB2cQFKAEh+k+56q/yZZ36DCQAAAAAAABJX/oXT5UkLuM7AKbbo+MU3K3TyP589fRgy+7T66bPqd9Jjd6pQP9RgfV2D+hapzpXNMuRRujxKk0eBrtt5j36ZIbMYM4GAcu5f6DoDAJDgTHa2sm671XUGAAAAEDEMmgFADLTtP+Ts2FWvrlTmeWOcHR+JZci8iQrt3O46I6nZffs0c+5Y1xkAgCgyHo9mfuAdrjMAAAAAAAAQJRlDB2r8/z0s4/O5TsEJlqnp2OdGJ1/174COX2TRc8rHo9Jk5O36/Avqr0uVq4uVq2c16tjtLhVrRNdqZpFUfu9t6ve26yK+X5xb5s03yVNY6DoDAJDAsu++S57sbNcZAAAAQMQwaAYAMdCyr8rZsUNt7apatVWZc2bI37/UWQfiX+mccTLLX3OdkRIqCvyuEwAAUTTprreqaNQw1xkAAAAAAACIorL51+j85b9X2duukwnwe/94kHPCW2D2qO2M24VO+ShJb1OB/qyR+nvXQNkc5UQnshu50ydo1Hc+G7Pj4WSejAylX3Kx6wwAQILyFOQr9wPvc50BAAAARBSDZgAQAy5XNJMk2xHUgReXqnrXQfknTVCgvMxpD+JTrq/p3BshItI7WlwnAACixOPz6aLPcTIJAAAAAAAgFWRPGKWJv/mWLj70mkY8/El5MiK/0hV6bq2aj33+mKp7/LoCeTVNmdFI6pGhn7lf3vQ0Z8eH5B1Y7joBAJCgcj/yYXny8lxnAAAAABHlcx0AAKmgdd9B1wldjKqXrpMvJ0v5wwapddsu10GIJx7mz2PFV9Pzk5sAgMRy4WfuU8GwQa4zAACuGSN5jOuKxGX43gEAACCx+HKyNfST71XxNRfpjfNvU6ip+dwvQsQdVPDY5+nq+d8rjKQxyohCUc/Yjg5nx0Ynf0WF6wQAQAIKTJ+u7Lvvcp0BAKmL83Hh4XwcgLPgHeUAEAMtcTNo1ilvXIU6ampdZyDeMGgWO7t3qXxIqcZMHOq6BAAQQVPvvU0Xf/4DrjMAAAAAAADgQKi9XVW/e0ahllbXKZD0e/X8XGi1gkp3+PYZ286gmWvpl14ik5sr/5jRrlMAAAkiMGWySn75vzKBgOsUAAAAIOJ4RzkAxEDb/vgZNCucMV5tS1cqeKTOdQrijeHHgli6dqDVhfUbNeX8ka5TAAARMPaWq3TdD78gwxWfAAAAAAAAUtKG+z6vys9/VwqFXKekrI+qrM+vnadNeqYXw2mRFGLQzDlvSYlK//CUSv/yJwWmTnGdAwCIc/6JE1Xy61/Kk5vrOgUAAACICt5RDgAxEE8rmvnFyS2cASuaxdaunVIopCl5QdclAIAwDbt8lm7+1Tfk8XpdpwAAAAAAAMCB9uoa7f3pU64zUt61ytMz6vsF/r6uAxGs6Tnb3u7kuDhZYMwYeTIylPvRj7hOAQDEMf+4cSr57a/kyctznQIAAABEDe8oB4AYsB1xNEhiresCxCnLCixOeEJx9P8HAEDvGKMB0yfo9t9/T760gOsaAAAAAAAAOGJZxSxuNKvv50LnqyCCJT1nWdEsrpi0NNcJAIB4ZIx8o0ep5LFfy1vg5mcGAACAZGKMGWqMecwYc9gYs9kY8wPXTTjO5zoAAFLB+S/8Qm9c/i617q1ynaIwzq0g2Rnmz10wLc2uEwAAvTT6LZdryj23ashFM2SDQaXlZLtOAgAAAAAAgEucf4sbj6u6x9vepxKly2iucpQnbxSrzs4GGVSMJ6xQAwA4UdYdb1fG9dcqbfp02dY2eYsKXScBAAAkPGPMFEnPScqXZCQVSKowxsha+z6XbejEO8oBIAayxwzXkPe/w3WGJMlkcAU2nAErmrmxc4eKSvNdVwAAemjgrCm67anvavQNlyk9L0cZhfmukwAAAAAAAOCYNydL3qxM1xmQdJt69ubvb2mgblGBrlO+0yEzSbIdrGgWT/zjxspTVOQ6AwAQB7LueqcKv/GwMi65RJ7sbIbMAAAAIud5dQ6XGXVewsl2fX67yygcx6AZAMSINzs+Ti4d2bJHWTMmKWPMcPmKWModJ2DQzJlJkwa7TgAA9ND1/+8L8njdvvEEAAAAAAAA8cWbnqaJT3xb+RfNUO75k+LmvGAqypRHj+js511mKlMTFT//jGw7g2bxxHi9Sr/8MtcZAADHPMXFyv/cf7jOAAAASDrGmE+qcyWzZac8ZaVeLFXf/b6HGmOGhrMPdPK5DgCAVLH7p0+5TpAkte4/pP37D0mS8ieNlg4fcVyE+MGgmSsD0kOuEwAAPeBNC6h04mjXGQCAROARl/gKB987AAAAJKDiay5W8TUXS5L2/vx3WvfuBx0Xpa4Kpetz6q9v64DqdPI5mMEK6ArlOirrnu0Iuk7AKTIuvURNjz/hOgMA4JB/7Fh5MuNnMB0A0A3Ox4WH7x3cuV3SE5K+JmmpTn7z8kNh7rtSUsgYM8Jauz3MfaU0/hcBADEQam9X46btrjNOU7Nyo7JmTXWdgThhGTRzxvKtB4CEYDweyVrXGQAAAAAAAIhz/e++SUVXX+g6I6VdqBw9qeG6QXnHHnuXivQTDdWlcTZoFmprc52AU9ggw38AAAAAAERJhaRnrbXLJU2X9GjXbb619scR2D/vyI0AVjQDgBjw+P0a+K6btPOHv3GdcprDa7cpKz9XwZo61ylAymrhRzIASAgjrprbOWwGAAAAAAAAnIUxRmMf/ZIWj79OwfpG1zkpy8joQyrTbGXLI6MpynCd1C3j4zxRvAnu2+86AQDgWMaV81wnAAAAJKt8da48JmvtMkn3Oa2JAmPMY5KspAXW2oR8gz7vkAOAGBnyoTtdJ3SrvbpWgbGjXGfAOSvP3h2uI1JWY4frAgDAORmj2Z+8x3UFAACIU8aYfGNMhTEm33ULAAAA4kP6oP4a+Y1FrjMgabqyNFWZMnF6Qeviay92nYBTBPczaAYAqcw7cKCybrvVdQYAAEAyG+Y6IMrmd90KXYf0FYNmABAj2WOGK6NikOuMblW9tFQZE0a7zoBDuWOHKlR1wHVGyqpvbHedAAA4h+t+8HkNmj3VdQYAAIgTxphbjTHPGmOOGGOspCOStko6YoyxxpitxphHurbLj3FbhTHmIWPM0qN9XbcjXY89ZIypiGUTXcnTBQAAeqf83ttUePks1xmIYxnDBip70hjXGTgFg2YAkLo8hYUq+fUv5cnJcZ0CAACQrJJyFbNkw6AZAMRQ8RWzXSecgVFjXbOMz+c6BI4UVBS5TkhpNXXNrhMAAGcx/X13aPp9b3edAQAA4kDXcI+V9ISkKyTln2HTCkkLurY70jV0FtWhoK6htqXqHHh7QFK1pEd1/Ip5j3Y99oCkrV3DSlG/NDNdydEFAAD6xhijsT/+srxZma5TEKdKb7lSxsTnSmupjEEzAEhRfr+K//dn8o8Y7roEAAAgmT0uaaox5h7XITFQ7Tqgr5goAIAYKrpilnY9+pjrjG41Vu5Wv0umq/HlN1ynwAF/3UGFXEeksOrD9a4TAABnEMjO1BVf+7jrDAAA4Jgx5gpJj6hzgKxGnSdAnpD0prW2pmubiq7n50u6TScPoS2QtMAY86i1dmGE2/J1fPBNkp6UdO/RrhM8ecL2P5J0q6QnjDFn2p4uugAAQARkDB2oEQ99Qhs/8J+uUxCHSm6+0nUCuhHcx6AZAKSi7DvfqbRpU11nAAAAJLtHJH1N0qPGGFlrf+I6KJKMMcNcN0QCK5oBQAwVXXq+FMdXpKtavEqBAWWuMxBjaf0KFdq6xXVGSju474jrBADAGaTn5yotJ9t1BgAg0XgMt3BvcaRrtahn1TlEtshaW2CtXWitfe7EoR5rbWXXYwuttQWSFqpzKO1EC4wxW40xEXnHStdw21IdH05aaK2df7ZhI2ttjbV2flef1DmotLRrcCki6EqOLgAAEDkD73+78ubwpmWcLG1AqfLOn+Q6A6ewoZCCVVWuMwAADnjLB7hOAAD0hutzWclwAxyw1taq82KKRp3DZr81xuQ6zoqkpPglIINmABBDjZu2S9a6zjijUGub/IP4pUmqKZ442HVCSjN5eepo73CdAQA4g0B2pusEAADgkDFmgTpXmaqRNM1a+3BPX2utfVTSMEnLTnmqQp0DQWGdZOgaKDo6ACd1Dic92su+o0NKR5vyw2miK3m6AABAZBmPR0Xz5rjOQJwpuWmejIe37cSb0OHDUgfn7gAgFXmyslwnAAAApARr7UJJ27ruzpd0pGvg7DKHWZHy4NFPrLV1LkPC4XMdAACppKOuwXXCuXGRgpSTYVoUch2Rwg4PGyetXuE6AwBwBsMun+U6AQAAONI1CPaIjg+ZVfZ2H10rUk0zxjyr46tVHfW8MaZP+z36eh0fTnq0N8NJJ/Q9aoyZp87VsCrUOVQ3r489dCVXFwAAiDSuFI5TlN7Mj2zxqP5HP3GdAABwwe9X2uzZrisAAABSyTxJWyRZdb57fb6k+cYYqfNCnpWSqtV5rra3HjHG9OV1fZWvznN0FefYLmEwaAYAMVR85VzlnDda9as2uk45C05ypRJvekChzRtcZ6SuoRX649/WuK4AAJxBWl6OLvnCB1xnAAAAd57o+hjOMNhR89V5Vb78Ex7LV+dKVsN7u7OuldZOXBFtURht96pzQEmSrjDGLOjLsBNdydMFAACig5WrcCJ/Ub7yL5rhOgOnaHnpZdV//weuMwAADuQsXCD/iF7/mg4AAAB9ZK2tNMaMUOf50mFdDx99E/s0nXwOrTeMTr8AaCwcbbcOjh1x/CYTAGLIeDySje8/PwxzZimlaPpIqbXVdUbKWtqao472DtcZAIAzOP9DdyqzuNB1BgAAcMAY85A6rzi3KAJDZkdXNru8m6cqjDEP9LItX50rrR31cNf+w2k7cSDpka5j9ApdydEFAACiiEEznKDkLZfL4+Pa0PHEBoM68uCn4/58PgAg8kxmpnI/+mHXGQAAACmn6zzsVEk/0smDWif+5dz04ubSqd0Jjd9kAkAMNe/er/rVm1xnnFXS/AmHHsnO5QSWMwMHadnr8by6IQCgcOQQ1wkAAMCdByTVWGsfjtQOrbXLJD3XzVMP9XIg6MFT7j/S7Va9c+o+Tj1GT9DVO/HaBQAAosR4XL/XBfGk9OYrXSfgFC3//Jc6Kre5zgAAOOAtL5cnI8N1BgAAQEqy1tZaaxdKGq7OgbNahT881pvhtEjfkgLvLgeAGDry8lLXCedkWNIshViZnVsZLnTEpmcoiX6mBICklDOgzHUCAABw4IQVxr4ahd0/JOmKbh5fIOmcQ21dA2knroBWGaEV15YZY2ok5Xc99ICkRT19PV3J0QUAAKKMFc3QxZuTpcIrZrvOwClCNTWuEwAAjnj793OdAAAAkPKstdskLZS00BgzTJ0rnRWqcwCtpx5Q55orP5JUE+nGc6jouk2N8XGjgkEzAIgRGwrp4F9fdJ1xTgwdpY78ScNlD653nZGyPNWHXCcAAM7B4/O6TgAAAG7c3vXx0Ujv2Fr73CmDQCcesyerp912yv0nI5B11OPqHHiTJBljFlhre/o9oCs5ugAAQBQZBs3Qpfj6S+VJC7jOwCl8Q4a4TgAAOGJ8vI0WAAAgnnQNnfV62fETLij6NWvt9ohG9bzhCUm3dH2ea62tc9ERLn6TCQAxUvnwj7X3//7oOuOcmmubuKJiisgfmO86IaXZ6mrl5GW5zgAAnMXuxStcJwAAEpVR529eufXt5nDx566VpqZKWmatrYnSYZ7r5rGpXcc+l4Wn3F8Sfs4xW0+5P78Xr6UrOboAAEAUld48T/7iAtcZiAOlN89znYBu+CqGcZ4cAFJU65I3ZTs6XGcAAHqL83EJez4OSHL/z3VAJPAbEgCIkURYzUySalduVNbs6a4zEAO+I/tdJ6S8UWMHuk4AAJzFzpeXuk4AAACxd+yXIsaYZ40xTxhjrojwMZ4917G7c8IQ3IkqIxHUZdkp96/oyfAbXcckdBcAAIi+jGGDNP7nX3OdAcc86WkqvuYi1xnohre4WL6hrGoGAKnI1terfd061xkAAABIDm+6DogEBs0AIEZse+Jc+aZ6zVbJcLmCZJY5qESh7b1eVRYR1tDQ4joBAHAWB1ZtdJ0AAABir6Lr41RJV0i6VdKzxphbI3iMMw0VVZzh8aNOG3iz1p46VBSO7k569GTIjq6zHLMn28RJFwAAiIGiay9W1oRRrjPgUNFVc+XNynSdgTMIHTniOgEA4Ejb6rWuEwAAAJAErLW1J9wtdBYSJgbNACBGfPk5rhN6rO3QEaWPHOY64+wYhAtLIStpxYXamkbXCQCAs6jbtU8ttfWuMwAAQGwNP8PjD0XwGNVneDz/HK+bccr9mrBLTmCt7W5/px6zO3Sd+ZjdidcuAAAQA8YYlVx/ieuMnvPwlpJIK3nL5a4TcAa2o0OhIzWuMwAAjrSvX+86AQAAAIgb/FYQAGKkvbr23BvFEW9RgeuEs9ozZIhqzhuvtJmTZXw+1zkJJz3EgJNzXq+q9p3pvYUAgHhxcN0W1wkAACA+nGu1sd6oOcPjRed43amrUkXjL5U1p9yf2oPX0HVcIncBAIAYyZk6znVCjwTKinVJ9Rua+MT/qPj6S2W8XtdJCc94vSq+8TLXGTiD4J49rhMAAA61r1vnOgEAAADJY7ikEdba7a5D+opBMwCIkaYtO10n9E4cnyzylRbpwJYdqly2XotfXaUt+YVKm5QYJ+XigTcrQ6HNG1xnpDxTUqpQMOQ6AwBwDlVrNrtOAAAAsbXkDI/XRPAY+Wd4/PA5XnfqsFBl+CmnOXWf03vwGrqOS+QuAAAQIxkVg1wn9EjBpefLl5ejsluv1uQ//T/NqXxORVfNdZ2V0AouPV+BOL/YZyrr2LbddQIAwKG29RtkrXWdAQAAgPDExYCXtXabtXaby4ZwMWgGADHQVl2j9uoa1xm9Es+/OvEOGyTJHLtfu/+QFi9dL82dKeNndbNzKZ42XGpvd52R8jryC10nAAB6oGrNJtcJAAAgtp5T90Nlj0bwGGf6C2F3x5UkGWO6W1HtjNuH4dTVtfKNMfln2piu5OgCAACxlSjnsgouPf+k++mDB2jy336ssT/6srw5WY6qElvpLVe6TsBZdOzY4ToBAOCQra1VcM9e1xkAAAAIQzIMeMULBs0AIAaatibYamY6cYwr/jT5/N08arTshTe1b8gQebIyY96USLKz+eM/HrSmcxIWABLBQVY0AwD0hcdwC/fmiLW2RtI0dQ6cSZ1DQIustYsieJhTV7Q66mwrW3X3mlOHiSKhppvHzrYaFl2nS8QuAAAQQ8aTGOdpCi6ZedpjxhiVv3e+Zq35szJHDY19VCIzRiVvvcJ1Bc6ifft21wkAAMfa161znQAA6A3X57KS4QYAZ5AYl8oCgATXtHmH64Req9m0U5n9S9W+r8p1ymkOHjjz+2/2btim3FnnKXPJitgF9ZFJC8j4vLLBkBQKdX4MBk/eyOPpPOFoOj+XMTIe0/m5jIyR5PV2buP1HN/e61WooVHBmrpT9mekbbxhPh5Ud3hdJwAAesCfleE6AQAAxJi1tlLSvCgeYsYZjvtcd493cbksdnercB1F1+kSsQsAAMRQ5uhhKp1/taqe+LvrlDPylxQqc+TQMz6fPniAJv3xB3rj/NsUrGuIXViYPBnpkjGd5+VCISnY9dHa4xsZ03VurvNNd8aYk8/Rmc6b8XplvJ5jH4+er7OhkFp37Tvt2PlzpiqtX0kMv1r0Vvuq1a4TAACOmSwuGAwAAABIDJoBQEw0bDjbBanjU8veKplB/ZRRVqz2A4dc5xxnjA7tOP3kzIk2LF6lmZfMUMfLS2IU1Xsm4NfW3ALV7Dt4yjPdXcUydMrHnikbMVjlpwyaFU4ZIbtvTa/2g+h4c3niDaACQKopn3mervnOZ11nAACA5NPdMgZnGzKTpOHdPFYTfsppuru6T/5ZtqfrdPln2T5euwAAQAx5/H5N+PU3tS49Tfv/74+uc7qVPXFU54DVWWSNGa6Jv/2WVlx/nxTq3TksF9IHD9CsDX+TNyM9qsex1uqNaTerfvnJK6KU3nJlVI+L8ASrqtS6+DXXGQAAR0xGhnI/9lGlz5ntOgUAAAAxZoyZLGm6Os/j5avz4o016jzftrXr8+estdtd9LnCoBkAxED1C2+4TuiT5l37FSzKV86AMrXtPeA6R5KUNnW82l4/91L1S15argtmnKfWN1fFoKr3fDMnq+aFpVE9RlXlLpWfMreW1z9HOvucHmLkcFWtw6NbTZo+UgPLsvXGsh06uO+IwxYAiD95Q8p1+Vc/pgm3X9t59WIAAIAIMcZMVfcDP0+c46XdvSZWuhuOOio/VhHdoKt3ztYFAABizOPzafzPv6aMoeXa9qUfuM45Tb933NCj7YqvuVhjfvgFbfrQlxVqbYtyVXiGf+WjUR8ykyRjjLLGDT9t0KzkpmgumoxwBQ8ddp3Qye9X+tw58o0aqcbfPi5b6/J8IgCkgEBA2Xe+U7kf+oC8Jaw8CgAAkCqMMTdLul2dFwjN7+FraiQ9LukJa+0/oxYXJxg0A4AoCza3qOa1la4z+qztcI2846dJjgfNTMCvwHljtWrDzh5tb4MhLX5ttUbNPE8Z6QGFrFVDfbNamltkgyGFQiHZYEjBro+hUEihYFChYEjB9o7OW0eHQh0dmnjhVGU3N6t19UYpGAz/i/F4tGFD9FezsqGQvPnZCtY1HHvMW7W7l+uiIVrefekgbWjP1rIlW9Xc1Ky5l0xUfpZPLe1W23Ye1tYNu6N27LffOEnZK16XqqSLZszSU08zaAYAkpSen6s5n7pXF3z4bvnS01znAACA5HR7N4/VWGsfPcfrCqMR00NnOzZdvTt2vHYBAAAHjMejYZ97v3b/4NdqP1zjOkeSlDaovwbe/3YNePctPX7NwAW3q/CyC3Tob/+W8Xrkz89VRsUgedLTZLweyeuV8XllvF4Zr0fG5+v86PXK+H0yfp88fr+M36emjdu06/u/0qG/vKCW7Xsi9nVljBiifm+/PmL7O5dAadFJ93OnT1DGkPKYHR+95x8zWkU/+ZEa/++Xan3tNdmWVqVfdqn8o0YpVFenjp271Pryy1FtMOnpKnniMaVNm9p53+dX/ffjbxAVAJKC36+sm29S7sc/Kt/Aga5rAAAAECPGmPdKekjHh8tML15eIGmBpAXGmKWSFllr/xXZwvjBoBkARFndsrWy7e2uM8LSWttw7o2iwFdcIM/IYTrSHtL2VZvV+tqaXu7BaNMbvX3N6ftY/dJySVJmXraGThihPBtS+9qNsq3tsh0dvd5j2pTxqn19bZhdPWFUN3K4slevk21rV/aIAQrt3haD46InPJs2aJykcWVemaIi2colx54bNqBcu9MDam2J/NU/J00f0Tlk1qVoX6Wy8zLVUNsU8WMBQCLIG1KuYZdfoFHXX6oRV18ofwyuagwAAFLagm4e+2oPXpcf4Y4zqenlsc/2XCTV9PLYZ3sukmp6eeyzPRdJNQ6PDQAAesHj8ylrwijVvPiGk+ObgF/5c6aq6Kq5Kr72YmVNGCVjevP+mk6ZI4Zo8AfvDLsna+xwjfne52S/+x9qXL9Vh/78Lx36y4uqfWWZ5PH0+ZzroPffIePxhN3XU8M+e7+OvLhE9cs6zweW3npVzI6NvjEejzKvuVqZ11wt296u4IEDJw0e2I4OHbjuRrWvXh21hpwPvv/YkJkkZd3xNjX84v9k6+ujdkwASCXe/v2VNusCpV98kdIvv1zewgLXSQAAAIgRY8xlkp5Q5/myE3/5ZXu7q66P0yU9Z4x5VtJt1tq6sCPjDINmABBljVt6tgJXPGveW6VYrOnhycpUaMp4Nba2q/ZgjfZv2SHtXxGDI/dMU22D1r2yQpJkvB55PB6NuWCacvbtV9uOnl9V8bDt/Qm6vtr4+moNHFehAbU1KhzZT1rJoFncCQZlq6pOfmzvHt3V3ysNGqzmvGJVh3zac6BBBw7UyOfzKjsnQ/l5GcrNCqixpUPbtx/Snu37daaLK6R1Da0VluTpfO/hk34ytgcO6O2TK/TnbVnat/Ng1L5MAIgnRaOHafxt12jcrVepdOLoPr15BgAAoLeMMQt0+rBPjbX24R68vLvVqA6HHdUzvV2hi67ePRcPXQAAwKHsccNjNmhm/H4N+fi7lT15rNL6lyh3xkR54/DCS8YYZY8boexxIzT0gXsVamtTqLVN+3/5tHZ846dqrtzV4315MjPU/103R7H2dP7CfE1/5Tfa/PGvafcPfq3SWxg0SyTG7z9tdRvj86ns739RcN9+ta9fr/Z169S+br3a1m+Qra+XycyUJzdH3rIyeUpKFKqqUtv6DQruPMt7BYyRAgGptVXpl1+m3A+8/6Sn/cOGqfT3T+nwgoXqqOQcLwD0hf+8icq85mqlX3Wl/KM5JwgAAJCKjDFflfSAjr/B9tThsp78kGhP+Xj0dVdKqjTGzE+21c0YNAOAKGvZudd1QtjaDlYrPdMv2xbdldlaJo7VmheWnvBI/P6CxwZDCgZDWvvycmUV5GrioAFq23Xuf9a+smJtfjMWq5kdt3tdpWqK8lXu6f3qa3AoGJS2b1OGtqlcUrnU+Z9EUJ3XJa85vuk4SWZcttoHD9PWtgy9+tJ6dbS3a9jogZo7Kl/pG1arfuwU5dQelN229fRjbavUDdnZ2nT5RL3wfPSuxAgALqXlZmvawtt13jtvZLgMAIDEM7wPf3YftNZWnXuzmFrUzWPzY14BAACAuJI+bOC5N4qQis+/X8M+c3/MjhcpnkBAnkBAA++/Q6W3XKU3L3qHmjb2bPCm/503yp+fG+XC03nT0zTm+5/XgHffrMwRQ2J+fESeMUa+Af3lG9BfGZdf1qPXhBoa1LZmjZr++LSa//i0QjW1MllZyrptvnIWvFe2rU1Nf3hauR98v4zff9rrA+PGquyZf6j24YfV8KOfSLa3F1oHgNTjGz5c2Xe+QxnXXivfwHLXOQAAAHDIGPMPSVeo8923tuvjiSeeK7tuNZKqT3n50Ys4VnTd8k953p6w3XPGmAXW2p9Eqt01Bs0AIMqad+5znRA2f36ebENN1I9zYNeBqB8jGhqP1Klt0iipB4NmoVEVsnvejEHVyRoO1+iF142uGNJfdl/i/zuJ09mGBvnWrdZoSWNG5UjWL9uwRVrZ+XzOitfO+fqRm9/Q8CvGqiEzT80ho0LbIn9djWwgoLaMbDV6AvrzM+vU2tIW/S8IACLFGJ3/4bt08X+8TxmF+a5rAACpwmM6b+ib0793f+zDXr4o6Qtht0SIMeYBdZ6AONGj1trnXPQAAAAgfrTuid35sYKLZ8TsWNESKC3SwPfdoU0f/q8ebT/oA++MctHZ5U6f6PT4cMuTna30Cy5Q+gUXyH7h8woerpa3X5mMx3Nsm7xPfvzs+8jMUMEXPq+st92u1tdeV+jAAXkKCxWYNk0mPV3BA/sV3LtPra+/oaYnn4r2lwQAcctbXq78zzyojBuul/F6XecAAGKB83Hh4XuHJNc1ZDZPxwfCjKQnJT0r6U1r7fI+7HOKOgfX5nV9lI4PsD1qjKlMlpXNGDQDgChrSYJBs476BnkLchWsqYvaMbwFuTq4Y4/ieRWzs2lua1fGuTYyRls27IhFTreO7D+iFwOlurikRPbgQWcdiD5bX9/n13o2rVeupBOv7WkkpXXd7rh0kv73mS0KBUPhRQJADGSWFOrW335Lwy6b5ToFAACkMGNMhaSHTnl4mbV2YS92kx+5orM63Mtjn+25SKKrd3rbBQAAHMoYPjgmxzEBv3KSZOgpo4erwBVcMlPZE0ZFuQboGZOWJt+A/n1+fWDMGAXGjDn9iXFjJUlZd7xdnoL8zpXPACDFZN58kwq+8mV5cmO/iikAAADijzHmh+ocBpO6hsAkLbLW1oaz367htOWSvm6MGSbpPkn3qvM8nFHnymZTrbUrwzlOPPCcexMAQDhaYngVwmixwZDSx46I6jF8QwYqUYfMJKmpofmc26RNnaCafW4HvKp2VunlmhyZwUOddiBx+dau1DuuHavjF3kAgPgUyMnSnc/8lCEzAAAQDx455X6lpMtdhPRAkeuAM6Crd+K1CwAAdKPslislE/1zZDmTxsibnhb148RC+uABPdpu0AfvjHIJED+MMcr/wueVdTf/3gNILVl3vVOF3/0fhswAAAAgSTLGXC7p6AU/l0kqsNbeF+6Q2amstdustYskVUh6/ujhJT0RyeO4wqAZAERZy+79rhMior0tGL2de71qz86O3v5j4MC2PfLm5Zx5A2O0p6ktdkFnsW/rPv1hSbWaJl/gOgUJKn3lmxowuMx1BgCckcfv121PfVf9Jo91nQIAACLjLZIm9PL2AyelpzDG3CrpilMenmetrXGQ01c1rgPOoMZ1wBnUuA44gxrXAQAAoHtpA8qUP2dqVI9hvF7lXzQjqseIpcxRQ5VWfvbzFLnTJ6j4xstiVATEB2OM8h74pOsMAIiZzpXM/ksmBkP7AAAASBhPqHMlhSestdMjPWB2KmttjbV2nqSvdz003Bjz8WgeMxZ8rgMAIJl11Deoo7bedUZE1KzarKyAX7atPWL7TBs7Qk2FBdq6ZqsaXngzYvt1oaW+Ue0XT5PnlSXdPu+ZM0M74+hrbG9t11+fXqmxM8/TyLI0BTavlZqaXGchgaSl82MkgPgUyMnS7b/7niqumO06BQAARM5Wa+1a1xG9ZYypkPSjUx6eZ62tdNEDAACA+FV6y5WqeXlpxPdbePkslc6/WqW3XKlAcWHE9++KNyNdo/77Qa2+7SPdPh8oLdLEJ/5HHh/nMpB6PBkZrhMAICZy7r9PeZ/+lIyHtRYAAADQyRjzNUn5kp611t4ey2Nbaxd1XQDhk5IeNsb8yFpbF8uGSOKnbACIouYde10nREywuUUZ40dFZF9pY4bryMRxWrx6q1a+uFQNh2sisl/XVr68XP6B/U973DN3pt58ofsBNNfWv7FZT/9pjZ45mC07mlVf0HO5eZmuEwDgNDkDSvXul37NkBkAAIgXz6rzRMZR86y1z/VxXzXdPFbUx31FUk03j9F1ZjXdPBYPXQAAwLGSt566CG54yt52nS5Y/SdNfe7nGrjwbUk1ZHZU6a1Xq+CSmac9nlExSNMXP6aMoQMdVAHumfR0mZwc1xkAED1+vwr/+5vK/4/PyHi9rmsAAAAQXxZIOiJpvouDW2sXSVredddJQ6QwaAYAUdS8fY/rhMjKyorIbhoK8rVt+QZJybV0vQ2GZE85aRUYUq6l/16qeP9a6w7X6/Udba4zkEBG9c92nQAAJzFer975j5+o36QxrlMAAABkjHlCUsUJD4UzZOZateuAM6Crd+K1CwAASMoYOlAZI4ZEbH8jH/6ksidE5gKS8coYo7K3XXfa46O+/WllVgxyUATEj4yrr3KdAABRU/iNh5V1+22uMwAAABBnjDGXq/MioIscryQ2X51vGmfQDADQvWRa0UySPDYUkf34k/iKQqFTBsraB5fLhqyjmt7ZvWmPzIBy1xlIEPmrXtcN109WWnrAdQoASJIKKgapNMnfPAMASCBGnb955da3W3xfq+WcjDEPSLr1hIciMWQWqyGh/G4eqznL9nSdruYs28drFwAAcCzU1qbWXfsitr+2qsMR21c88+WcfJHMtIH9VHzdJW5igDhS8JUvdw5hBDiPByD5ZFx7jesEAEC84HxcSp+PA7oxX5K11v7YZYS1tlKdq5rNM8bkumwJh8d1AAAks+Ztu10nRFTHofDfC2N8PjU2t0agJj6d+rP3nl1VTjr6xqiqaLDrCCSKUEj9Vi3W3ZMyXZcAgCQpsyjfdQIAAICMMVdIeuiEhyK1kllNBPbRV2f7hVBNrCK6QVfvsKIZAABxrH7lBoVa2yKyr7SB/eRPkd+VhdraT7pfetM8GQ9vgwE8WVkq/O9vqt+zf3edAgARZdLT5MnKOveGAAAASEXTJT3qOqLLI10fK5xWhIHfsAFAFDWs2+I6IWKM36fWyp1h7cNXVKCDI4dr4+urI1QVf5a/ulJpE0Yfu39k/yGHNb335subpYwM1xlIILamxnUCgATgz8rUtIW3613//pUu/Oz9UTlGa11DVPYLAADQU8aYqZKePeGhSA2ZSd0PCeVHaN/nUnOW5+g6Xc1ZnovXLgAA4Fjtaysjsp+iq+bq/OW/V8bQgRHZX7zrf/dNGnj/24/dTx+WGl830FPesjLXCQBShK9imPIe/JRK//y0Mt9yY9SOY1taZVtaorZ/AAAAJLQKSVtdR3RZos61SxJ20MznOgAAkln9ms2uEyImUJQve6jvq3N5sjK02ZeuI6uT53vSnY62di3bskdThg9W29adam1oVCKtMdxY26iWiycqfcUbrlOQIEwgTVLyrlIIIDxZpUW6+Asf0HnvuFFpudmSpI7mFr0UhWMd2lCput37lTuwXxT2DgAAcHbGmApJz5/wUCSHzKTYDQkVdvPY2U7I1ESp41R09U5vuwAAgGOtO/eGvY+yt12nCb/6Rkqt6GWM0ejvfU7B5lbt+/nv5MtlhRPgRLapyXUCgCSXcd21ynnvPQrMnCFjOt8b0zphgvTHp6N2zJZ/v6SMK+dFbf8AAABIWPmSKl1HdDnakbCDZqnzG0YAiLH22nq17NrnOiNiOuobw3q9nTJRR/YciFBNfGttaFJLvzJ5shPzZNZry/bJFBS4zkCCqB421nUCgDg25Z5bNeP+O44NmVlrtfhbP4vKsWwoJJnEGe4GAADJwxiTr86VzPK7Hor0kJnUedW7U3U3TBSu/G4e624VrqPoOl0idgEAAMd8+blhvd6bnalR3/pUSg2ZHWU8Hg1d9F5Jki8vx3ENEF8a/vcXrhMAJDO/X4Xf+bbSzp95bMgs1Niohp/9PKqHtcFgVPcPAAAAgEEzAIgaT8Av4/W6zoiYYGOTPFmZvX6dNy9HmVMnaN3yjVGoil9t7R3yDx+iRFrN7KhDuw9ppa9cCgRcpyABrNhy2HUCgDi28+Wlams4Pqz++nd+oa3/eDkqx/IG/MrpXxKVfQMAAJzD8zp+NbppURgyk7q/+l5+FI7T3dDTsrNsT9fpErELAAA4llZe1qfXGa9X2eeN1ujvfFZp/UsjXJU40gZ0fv/yZk1xXALEl8bHn3SdACCZtber9cV/H7trOzpU/eGPKrg3/JVaz8Y3eHBU9w8AAICEVaP4WUHsaEe8rLDWawyaAUCUeDPSVTB3muuMCDJqy85T5tQJ0hkG6Izfp4yxI5Q9Z7rSL5im0MCBqjncoANvrNPo0cOOXcEoFVQfPKIDocT9ejct3arN/c78zxo4Kj2dgUQAZ7bzpTf107l3qLHqsA6u36pnPv5Q1I418Z03puQVmwEAgFvGmCckTe26O81aG5VhnjPsNyYrYVlrz3gChK7k6AIAAO71v/smnfe77yljxJAzb+TxKGvCKPW/+yaN+p/PaPorv9EldUt1wcqnNeDdt8QuNg55szM1/CsfU3ofB/aAZGWyslwnAEhyh97zXtV957uy1qrhpz9T81//FtXjBSZPkn/c2KgeAwAAAAmrUtIM1xFdpkuySuBBM5/rAABIZjYUcp0QUc17Dqh5zwHJY5RWWqr04nz5c7Pk8XrVcrhW9Zt2qG71qX8mdg5bNb6xSpNmT9GKV5fHPtyB/Zt3uk4I28qX12vAjTOUteI11ymIY4P752iN6wgAYckqLVJj1ZlXJ8zuV6LBF07ToNlTdHjzDq17/G9qOnSkx/s/sHKDHr/1Qxp2+SzZYDASyacJZGfqos/cH5V9AwAAnIkx5iFJt3bdjdqQ2QlqdPIAUTSuyHfqPnty8qNGdB2VyF0AAMAhY4xKb5qn0pvmKdjSqta9VWrdvV+tew6oo75R2RNHKWfSGHkzM1ynxiXj8WjYgwtdZwBxJzB1ijq2bHGdAcART2mpQlVVZ97A65V/3DilTZsq38gRan11sVqe/6dsS0uvjlP7tYflKS5R428fC7P4HAIB5X36wZS6yDUAAAB6ZamOn7t1bX7Xx4Q9R8egGQBESdP23Try8lLXGdERsmrdf0it+w/16mWNry7X5LnTtCJZvy9JaO2Was10HYG4VmzaXCcA6KOi0cP01v99SOUzz9P/zXu3tj2/+KTnB0yfoFt++98qqBh00gmbq771oBZ/86f695d/qI7mnp1oOrh2i2788ZdVtWqj9r65RrU79568gTHKLMpXZkmhBl4wSeUzz1NmcYFkjEIdQYXa29XR2qaO5lZ1tHTe2ptb5fF5NfSSmRo0e6p8aaywCACIIx5JHt7w0GcJsEipMWaBpAe67sZiyEyS3pR0xQn38yO5c2NMd/vryddF13GJ3AUAAOKENz1NmRWDlFkxyHUKgASXdv5MNT3+hOsMADHmHzdOBV//mtKmTNHhD35YTU/97uQNjFHhd/9HGVdfJU9m5rGHc979LoVqalT7P99Rw09+JnV09PiY7WvWKPeTn1DDz/5X7evWKVRdfdo2Ji9P3sIC+YYPV9qsC+QtK5NJT5eCQdmODqm9XbatTbalVba1Vbat86Px+pR2/kwFZkyXJ4OhewDACTgfF54EOB8H9NITku41xnzcWvtNVxHGmCnqPBf4rLW2zlVHuBg0A4Ao2fHdX0rWus6IO40vL9XEi2Zo9b+XuE5BDxzYflBmZIHskZ6vXIPUkr5/t+sEAH2QN6Rcdz77M+UN6i9Juv6R/9QPJ1yvjpZWSVJabrZu/tU3VDh88Gmv9aUFdOGn79PEd9ygf3zkK9rwh+dOet54PArkZCnU3qGMonwNv3KOZn/yHhWNGqbbnvquJKnp8BEd3rhNgZwsZZUWKbMoXx4ffz0FAACJwRhzq6RHuu5GZMjMGGMlLbLWPnyWzZ7VyQNKMsZUWGsjdSW87lbWerYHr6Pr5GOeS7x2AQAAAEgyaeef7zoBQIz5x49XyWO/kbewQJJU8KUvqvWVVxTcf+DYNrmf+Jiybr6p29d78vNV8PnPKfud71TNl76slmdO/5WCyc6WPB6pvV3+CROUee3Vyn73u2QCAWVec7WstQodPKiObdtlcnPkLSqSp6BAxu+PzhcNAAAASLLWPmeMqZH0aWPMjxwOeT0kyapz8C1h8U4+AIiAmiWrtP1bP9fk33xLklT98pva+f1fOa6KX6xinzham1r0etsgnV/oka0+7DoHcchWHdCgimHaVbnfdQqAs8gbPECD5kxV0aihGjR7ioZeer68J5zMKRw+WPO+/oDe/H+/1cALJmnWx96tolHDFGxv1+a/vqjssmJllRUpkJUp4/WosapaTQerVXHlHOUM7Kf8oeUqGjVURaOGqmDYQHkDZ19dLLOoQJmzC6L9ZQMAAEScMWaqjp8UiNSQ2dSuT881aPSkOk9MnKiiB6/rqe4GlB7vwevoOi6RuwAAAAAkGd+wofIOHqzgzp2uUwBESdr5M+UbOlS+0aOUNnOmApMnyXiOL0/iyc9XwTe/rpovflm+IYOVdfNNyrjxBklS+6ZN6ti5S97yAfLk5slkZEjBDoWqqxU8dFjpl1ws34AB8g4YIN+woZ3HGTJYnuzsszYZY+QtLZW3tDSqXzsAAADQjR9J+qQ6z41dHeuDG2N+qM4LTlol+Pk5Bs0AIALW3PMZ1a/doswRg9W0eYf2/+5Z2fZ211lxa+8uBlISyc71u9RYXqRJU2apqHK1bEOD6yTEmWnj+zFoBsS5u//1CxVUDDrj89ZaGY/RhZ+5T+Nvu0Yer1eStOXvL+mVh36s0TdepqLRw5Q3qJ9yB/VX8ehhMmOHa8hFM2L1JQAAADhnjKmQ9HzX3YgMmXWZ3vXxrING1tpKY0ylTh4kmifpuTO8pLdO/eFumbW25lwvois5ugAAAAAkH2OMsm65WXX//W3XKQCiIP2Si1Xy61+eczvb0qqs2+Yr+853yJOTc+zxI5/9nLwDBiht+jR5ywfI27+/fP36yTdqlPyjjdLnzI5mPgAAABBx1tpFxpgFkuYZY35grX1frI5tjPmEpIXqHDL7lMMV1SKCQTMACJO1Vk2Vu6VQSFu//EPXOXEvY/Qwbd64zXUGeunwnsP6557DGjRmoC4oqZE9eNB1EuJIyeaVKior0OEDR1ynAOhG2aQxZx0ya6w6rD+++0Ft/uuLkqQXv/g9XffDL2jYpRdo1HWXaPQNl8UqFQAAIG4ZY/IlPSspX9K8CA6ZSdI0SerhPp+U9MAJ96+IYMep+3qkF6+lKzm6AAAAACSZnPffr8Ynn1Jw1y7XKQAiLOOG68/6fKi2Vkf+4/NqevIpSVLd/3xHOfe+V7kf/6iMMSr57a9PWv0MAAAASBL3qnM1sYXGmOmSLrfW1kfrYMaYXHWupHarOofMKq21X4/W8WKFvykAQJg6ausVbGxynZEwOkqLXCcgDLs27NY/9wVk+g9wnYJ40tSkwUOLXVcAOIP+U8ad8bmO1jY9Ov0W1e7ap0BOliTpSOVuvfGd/5MkTi4BAAAc97w6V6CaZ62N1MpTR02XVNPDbR875f7UriG4sHTtY+opDz/ei13QlRxdAAAAAJKMJzNTgfFnPk8AIHEFJk0643O2vV37r7pWbcuWy1Na2vlYfb0aH3tcHVu2SuI8IAAAAJKTtfZJSU9JMuq84Od2Y8zHuwbCIsYYk9u1itk2dQ6Zma6n5kfyOK6wohkAhKll937XCQnD+HzavmaT6wyE6fDeajVMn6SsfXtdpyCOWOu6AMCZhDo6dGhjpdLzcuTPylBaTvax53xpAV36pQ9r3C1XqrWuQcG2duWUl8nr9zssBgAAiC/GmCfUObwzPwpDZurad4/2a61dZox5TievWnWFOlfICsepq2A9aa2t6emL6UqOLgAAAABJihN5QFIKVVWpIzdHJj1dnpwcmbS0Y88Zv195D3xC6XPnSH6/Qkdq5O1XJk9mpsNiAAAAIDastfONMc9KulxSgaSHJT3cdd73cUnLrLXbe7tfY8xkdV5EdJ46h8uk4wNmVtJt1toVYcXHCQbNACBMbYdrXCckjMwpY9W0ZLXrDETAmyv26uLhI6Wtm12nIF5wfgqIW6t++bRW/fJpSZI/K1O3//57Gj5vzrHnJ999kyQpkJ3lpA8AgKTk6bqhb+Loe2eMeUSdJwkWdl39LtL7P3oCorIXL1skaekJ929X+ANKD3ZzjN6iq3fitQsAAABAkrEMmgFJ6eAd7zz2uW/oEBX/8v/krxh27LGsm2869rm3oCCmbQAAxATn48LD9w5Jzlo7zxizVNKUroeMOlcbmy9JxpgadZ6jrdbxc7U1XR/zuz4Wdn1e0XU7kTnl/n3W2qciEh8H+F8EAIQp1NziOiFhNHj5YydZHNx5UH94eb/eyB6lA+MvkE64MhZSk+E/byAhtDc26aX/+n+yoZDrFAAAgLhnjHlA0gJ1Dpk9GuF95xtjrpD0UNdDS8+2/Ymstct08kDSrcaYU09s9KZlqjpXVTvqUWttbwbf6EqiLgAAAADJx3g4kQcku47tO9Twk5+6zgAAAADiirV2mqSvq3Mo7OhVWEzXrUDSNElXqPOc8AJJD3Tdjt6/tev54Se8zpyyvxpJ86y1P4r6FxRDrGgGAGEKNre6TkgI3pwsbVm2znUGIqijvUM71+3SznW7NHLqSE1O2ylbV+c6C46MKcvQctcRAJRRlK9R112i1b/+s0IdHZKk0W+5XIUjh6h+T5WMka5/9EucVAYAADiHrpXGjg6BLTLGhLsyVGHXx/wzPN/bgaB71XlS4+j+HpE0r9dVnU486VFprV3Yx/3QlTxdAAAAAJJI5ltuVPPf/+E6A0Bf+XzKvPmtannx3wodqJIkeQoLlXnTW2XS0tS2eo3SZs5Q7sc+4rYTAAAAiEPW2kXGmGclPSEpT8cHxKTjQ2Pn3E03jxlJyyRdbq2tDTs0zjBoBgBhaj+SdH82REX6xFHqeJUxlGS1edlWNY0coNmlGbJVB1znwIHsFa+r/+DB2rfzoOsUIGUNmD5Bt//hB8otL9O0+96mAys3aMhFM1Q8driM6cnfhwEAACAdWxnqiRMe6vMqU73wZm82ttbWGGMu1/GV0K4wxizo7cprXau2nbgKVl+HnOhKoi4AAAAAySXzLTeq/mc/V9sbS1ynAOglb//+KvrRI0qbOkWhxkY1/PTn8k8cr7SpU+XJzXWdBwAAACQEa+1zkgq6zql9SscvAtndANnZHH0TXqWkRdbapyJTGH+4jD0AhKlh7RbXCQmhMdTbP4uRaPZs3qtnd3rUOGWWlJHhOgexNqyCITPAofSCPL3j7z9WbnmZJGnQrCmaft/bVTJuBENmAAAAvWCMqZD0fKyPa62t6cNrlunkgaJHjDFX9PT1p6zaJknTrLW9XVmNriTtAgAAAJA8OvbsVdubS8+9IYD44vGo5De/VNrUKZ13s7KU+8H3K+OSSxgyAwAAAPrAWvuwtbZQ0n2SntPxFc16cquV9KSkedbaEck8ZCYxaAYAYWtYs1mSNOa/H9SclX9UzsRRjovikDHavX6r6wrEQE1Vjf72xxX6x8Fc1U+ZLaWnu05CjDTmlbhOAFLayGsuVHpejusMAACAZLBIx69gFyvL+vrCrqvvTZNU0/XQs11X4jsrY8xDOr5qW6U6h5P63EFXcnYBAAAASA5tK1ZIoZDrDAC9lDZnjrz9+rnOAAAAAJKOtfZRa+2V1lqPOi8IuUjSw+ocJHuu6/Zk12OL1HkOrtBae5u1NuYXLXXB5zoAABLdhEf/U3Ur1qt43hx5MzM06dff1MsTb3CdFVcyx1SomUGzlFJfXad//HG5SgaXau74AnnXrnSdhCjzB9tcJwApaeil52vupxaoYt4cVi4DAABIXGGtPtU1WFRgjHlE0gJJDxljFkp6RJ0nQWq6Nq1Q54mSBTo+TPewtXZROMenK7m7AAAAACQ+b3Gx6wQAvZA2d45y7n2v0i+/TMbDOgIAAABANHUNjqXE8FhvMGgGAGHKGFKujCHlx+5njx+ptH4lat1/0GFVfLElhRKDZinp4M6D+v3OKs24bIaG7FkjNTe7TkKU+Fv5ZwvEjDEae9M8zVl0r8pnnue6BgAAIKlYaxdKWui6oy+stQuNMYvUOYB0u6SHzrDpMkmPSXrUWltDF10AAAAAkpu3rNR1AoBzCQSU+da3KOfe9yowfpzrGgAAAAApjkEzAIgwY4zEgiInOVxd6zoBThkt+eca7R89UBdk75dtqHcdhCjwHDygjKw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      "text/plain": [
       "<Figure size 4200x2400 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Figure in paper- Figure S11 \n",
    "#smoke mortality due to population\n",
    "import cartopy.crs as ccrs\n",
    "fig, axes = plt.subplots(1,2, figsize=[14, 8],dpi=300,  subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "axes = axes.flatten()\n",
    "\n",
    "\n",
    "cax=axes[0].set_extent([-85, -30, -60, 15])\n",
    "\n",
    "\n",
    "vmin =countries_vodonos2014_2019totals['mean_mort_total'].min()\n",
    "vmax =countries_vodonos2014_2019totals['mean_mort_total'].max()\n",
    "\n",
    "\n",
    "myplot = countries_vodonos2014_2019totals.plot(column='mean_mort_total',\n",
    "                ax=axes[0], legend=False,  cmap='YlOrRd')\n",
    "\n",
    "cax = fig.add_axes([0.48, 0.1, 0.02, 0.8])\n",
    "sm = plt.cm.ScalarMappable(cmap='YlOrRd', norm=plt.Normalize(vmin=vmin, vmax=vmax))\n",
    "sm._A = []\n",
    "cbr = fig.colorbar(sm, cax=cax,shrink=0.5)\n",
    "cbr.ax.tick_params(labelsize=20) \n",
    "axes[0].set_title('a) Smoke mortality per country', loc='left', size=20, y=1.05)\n",
    "\n",
    "vmin_TIs =countries_vodonos2014_2019totals['mean_mort_TIs'].min()\n",
    "vmax_TIs =countries_vodonos2014_2019totals['mean_mort_TIs'].max()\n",
    "cax_TIs=axes[1].set_extent([-85, -30, -60, 15])\n",
    "myplot_TIs = countries_vodonos2014_2019totals.plot(column='mean_mort_TIs',\n",
    "                ax=axes[1], legend=False, cmap='YlOrRd')\n",
    "\n",
    "cax_TIs = fig.add_axes([0.9, 0.1, 0.02, 0.8])\n",
    "sm_TIs = plt.cm.ScalarMappable(cmap='YlOrRd', norm=plt.Normalize(vmin=vmin_TIs, vmax=vmax_TIs))\n",
    "sm_TIs._A = []\n",
    "cbr_TIs = fig.colorbar(sm_TIs, cax=cax_TIs,shrink=0.6)\n",
    "cbr_TIs.ax.tick_params(labelsize=20)\n",
    "cbr_TIs.set_label('Number of deaths', fontsize=20)\n",
    "##adding territories outline on axis[1]\n",
    "indterr_map.to_crs(ccrs.PlateCarree()).boundary.plot(ax=axes[1], color='k',linewidth=0.5)\n",
    "##\n",
    "\n",
    "axes[1].set_title('b) Smoke mortality in Indigenous territories', loc='left', size=20, y=1.05)\n",
    "\n",
    "\n",
    "plt.suptitle(\"Excess mortality from smoke PM$_{2.5}$ for 2014-2019.\", size=24, y=1.05)\n",
    "plt.show()\n",
    "fig.savefig('../PP2_figs/AmazonHealth_FigureS11.png', dpi=fig.dpi, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6428230",
   "metadata": {},
   "source": [
    "## calculating population risks per country for mortality due to mean smoke PM2.5 in 2014-2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "03ac29cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "###### START HERE!!\n",
    "import regionmask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "11ff4c15",
   "metadata": {},
   "outputs": [],
   "source": [
    "#countries[countries.COUNTRY=='Argentina']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "9afa7410",
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating masks for each country\n",
    "mask_poly = regionmask.Regions(name = 'countries_mask', numbers = list(range(0,249)), \n",
    "                                   names = list(countries.COUNTRY), abbrevs = list(countries.AFF_ISO), \n",
    "                                   outlines = list(countries.geometry.values[i] for i in range(0,249)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "556e2520",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes&#x27; (\n",
       "                                                                                                               lat: 4320,\n",
       "                                                                                                               lon: 8640)&gt;\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 89.98 89.94 89.9 89.85 ... -89.85 -89.9 -89.94 -89.98\n",
       "  * lon      (lon) float64 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 4320</li><li><span class='xr-has-index'>lon</span>: 8640</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-495414bd-6cdc-4c88-b552-ae72a2a7e8a0' class='xr-array-in' type='checkbox' checked><label for='section-495414bd-6cdc-4c88-b552-ae72a2a7e8a0' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan nan nan nan nan ... nan nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-010dd969-01af-42ee-9b54-70d4c63278cc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-010dd969-01af-42ee-9b54-70d4c63278cc' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>89.98 89.94 89.9 ... -89.94 -89.98</div><input id='attrs-351d68ed-be10-4cc6-828d-d8630f48bc3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-351d68ed-be10-4cc6-828d-d8630f48bc3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-84dcf097-8a69-4cbd-a4b2-325f88774af8' class='xr-var-data-in' type='checkbox'><label for='data-84dcf097-8a69-4cbd-a4b2-325f88774af8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([ 89.979167,  89.9375  ,  89.895833, ..., -89.895833, -89.9375  ,\n",
       "       -89.979167])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.9 ... 179.9 180.0</div><input id='attrs-80e95979-86cd-43bb-afea-b7922d6c14dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80e95979-86cd-43bb-afea-b7922d6c14dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-422736da-5a7a-45b9-a881-944361c378ae' class='xr-var-data-in' type='checkbox'><label for='data-422736da-5a7a-45b9-a881-944361c378ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>standard_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([-179.979167, -179.9375  , -179.895833, ...,  179.895833,  179.9375  ,\n",
       "        179.979167])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-46690d94-8351-4550-aefe-6de41b4d5555' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-46690d94-8351-4550-aefe-6de41b4d5555' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'UN WPP-Adjusted Population Density, v4.11 (2000, 2005, 2010, 2015, 2020): 2.5 arc-minutes' (\n",
       "                                                                                                               lat: 4320,\n",
       "                                                                                                               lon: 8640)>\n",
       "array([[nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan],\n",
       "       [nan, nan, nan, ..., nan, nan, nan]], dtype=float32)\n",
       "Coordinates:\n",
       "  * lat      (lat) float64 89.98 89.94 89.9 89.85 ... -89.85 -89.9 -89.94 -89.98\n",
       "  * lon      (lon) float64 -180.0 -179.9 -179.9 -179.9 ... 179.9 179.9 180.0"
      ]
     },
     "execution_count": 72,
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   ],
   "source": [
    "pop_SA=pop_SA.rename({'longitude': 'lon','latitude':'lat'})\n",
    "pop_ind=pop_ind.rename({'longitude': 'lon','latitude':'lat'})\n",
    "pop_SA"
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  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "254d76d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#getting masks for the populations based on the country boundaries\n",
    "\n",
    "mask_SA=mask_poly.mask(pop_SA)\n",
    "mask_ind=mask_poly.mask(pop_ind)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "2a26a56d",
   "metadata": {},
   "outputs": [],
   "source": [
    "pop_country=np.zeros(len(countries))\n",
    "\n",
    "#getting population from grided map for country levels\n",
    "for i in range(len(countries)):\n",
    "    sel_mask=mask_SA.where(mask_SA==i).values\n",
    "    test=pop_SA*(mask_SA==i)\n",
    "    pop_country[i]=test.sum(dim=('lon','lat'))\n",
    "    \n",
    "\n",
    "#gettting population of indigenous territories per country\n",
    "pop_country_ind=np.zeros(len(countries))\n",
    "\n",
    "for i in range(len(countries)):\n",
    "    sel_mask=mask_ind.where(mask_ind==i).values\n",
    "    test=pop_ind*(mask_ind==i)\n",
    "    pop_country_ind[i]=test.sum(dim=('lon','lat'))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9d7134b3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "716c502d",
   "metadata": {},
   "outputs": [],
   "source": [
    "###fuction to get population-weighted PM2.5 per country-level\n",
    "def pm25_pop_weighted(PM25_total, PM25_noGFED, countries, pop_dataset,mask_SA):\n",
    "    ### Weighted PM2.5 by population\n",
    "    #interpolate PM to population grid resolution\n",
    "    interp_SA_PM25_noGFED = PM25_noGFED.interp(lat=pop_dataset[\"lat\"], lon=pop_dataset[\"lon\"])\n",
    "    interp_SA_PM25_total = PM25_total.interp(lat=pop_dataset[\"lat\"], lon=pop_dataset[\"lon\"])\n",
    "    ##getting fire PM only \n",
    "    inter_SA_PM25_fires=(interp_SA_PM25_total-interp_SA_PM25_noGFED)\n",
    "    weighted_PMfire=inter_SA_PM25_fires['PM25']*pop_dataset\n",
    "    weighted_PM=interp_SA_PM25_total['PM25']*pop_dataset\n",
    "\n",
    "    ##getting sum of PM per country\n",
    "    #getting population from grided map for country levels\n",
    "    pm_country_fire=np.zeros(len(countries))\n",
    "    for i in range(len(countries)):\n",
    "        sel_mask=mask_SA.where(mask_SA==i).values\n",
    "        test=weighted_PMfire*(mask_SA==i)\n",
    "        pm_country_fire[i]=test.sum(dim=('lon','lat'))\n",
    "    \n",
    "    pm_country=np.zeros(len(countries))\n",
    "    for i in range(len(countries)):\n",
    "        sel_mask=mask_SA.where(mask_SA==i).values\n",
    "        test=weighted_PM*(mask_SA==i)\n",
    "        pm_country[i]=test.sum(dim=('lon','lat'))\n",
    "        \n",
    "    return pm_country_fire, pm_country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "e3f2790e",
   "metadata": {},
   "outputs": [],
   "source": [
    "countries['population']=pop_country\n",
    "countries['Ind_population']=pop_country_ind\n",
    "##getting the pop-weighted PM25\n",
    "countries['PM14_19_sum_fireonly'],countries['PM14_19_sum']=pm25_pop_weighted(SA_pm25_2014_2019,SA_pm25_2014_2019_noGFED,countries,pop_SA,mask_SA)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "5683f29d",
   "metadata": {},
   "outputs": [],
   "source": [
    "countries['PM14_19_sum_fireonly_ind'],countries['PM14_19_sum_ind']=pm25_pop_weighted(SA_pm25_2014_2019,SA_pm25_2014_2019_noGFED,countries,pop_ind,mask_ind)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "585dc661",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>COUNTRYAFF</th>\n",
       "      <th>AFF_ISO</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>SHAPE_Area</th>\n",
       "      <th>geometry</th>\n",
       "      <th>population</th>\n",
       "      <th>Ind_population</th>\n",
       "      <th>PM14_19_sum_fireonly</th>\n",
       "      <th>PM14_19_sum</th>\n",
       "      <th>PM14_19_sum_fireonly_ind</th>\n",
       "      <th>PM14_19_sum_ind</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>AS</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>0.600124</td>\n",
       "      <td>0.013720</td>\n",
       "      <td>POLYGON ((-170.74390 -14.37555, -170.74942 -14...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>United States Minor Outlying Islands</td>\n",
       "      <td>UM</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>0.480216</td>\n",
       "      <td>0.003216</td>\n",
       "      <td>MULTIPOLYGON (((-160.02114 -0.39805, -160.0281...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Cook Islands</td>\n",
       "      <td>CK</td>\n",
       "      <td>New Zealand</td>\n",
       "      <td>NZ</td>\n",
       "      <td>0.980664</td>\n",
       "      <td>0.013073</td>\n",
       "      <td>MULTIPOLYGON (((-159.74698 -21.25667, -159.793...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>French Polynesia</td>\n",
       "      <td>PF</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>3.930211</td>\n",
       "      <td>0.175332</td>\n",
       "      <td>MULTIPOLYGON (((-149.17920 -17.87084, -149.258...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Niue</td>\n",
       "      <td>NU</td>\n",
       "      <td>New Zealand</td>\n",
       "      <td>NZ</td>\n",
       "      <td>0.541413</td>\n",
       "      <td>0.021414</td>\n",
       "      <td>POLYGON ((-169.89389 -19.14556, -169.93088 -19...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>245</td>\n",
       "      <td>Northern Mariana Islands</td>\n",
       "      <td>MP</td>\n",
       "      <td>United States</td>\n",
       "      <td>US</td>\n",
       "      <td>0.908853</td>\n",
       "      <td>0.019927</td>\n",
       "      <td>MULTIPOLYGON (((145.73468 15.08722, 145.72830 ...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>246</td>\n",
       "      <td>Palau</td>\n",
       "      <td>PW</td>\n",
       "      <td>Palau</td>\n",
       "      <td>PW</td>\n",
       "      <td>1.105323</td>\n",
       "      <td>0.031136</td>\n",
       "      <td>MULTIPOLYGON (((134.53137 7.35444, 134.52234 7...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>247</td>\n",
       "      <td>Russian Federation</td>\n",
       "      <td>RU</td>\n",
       "      <td>Russian Federation</td>\n",
       "      <td>RU</td>\n",
       "      <td>1536.287150</td>\n",
       "      <td>2931.526082</td>\n",
       "      <td>MULTIPOLYGON (((-179.99999 68.98010, -179.9580...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>248</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td>51.724956</td>\n",
       "      <td>52.915449</td>\n",
       "      <td>MULTIPOLYGON (((-2.91472 35.27361, -2.93924 35...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>249</td>\n",
       "      <td>Canarias</td>\n",
       "      <td>ES</td>\n",
       "      <td>Spain</td>\n",
       "      <td>ES</td>\n",
       "      <td>9.491474</td>\n",
       "      <td>0.695336</td>\n",
       "      <td>MULTIPOLYGON (((-17.91125 27.77374, -17.96389 ...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>249 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     FID                               COUNTRY ISO          COUNTRYAFF  \\\n",
       "0      1                        American Samoa  AS       United States   \n",
       "1      2  United States Minor Outlying Islands  UM       United States   \n",
       "2      3                          Cook Islands  CK         New Zealand   \n",
       "3      4                      French Polynesia  PF              France   \n",
       "4      5                                  Niue  NU         New Zealand   \n",
       "..   ...                                   ...  ..                 ...   \n",
       "244  245              Northern Mariana Islands  MP       United States   \n",
       "245  246                                 Palau  PW               Palau   \n",
       "246  247                    Russian Federation  RU  Russian Federation   \n",
       "247  248                                 Spain  ES               Spain   \n",
       "248  249                              Canarias  ES               Spain   \n",
       "\n",
       "    AFF_ISO   SHAPE_Leng   SHAPE_Area  \\\n",
       "0        US     0.600124     0.013720   \n",
       "1        US     0.480216     0.003216   \n",
       "2        NZ     0.980664     0.013073   \n",
       "3        FR     3.930211     0.175332   \n",
       "4        NZ     0.541413     0.021414   \n",
       "..      ...          ...          ...   \n",
       "244      US     0.908853     0.019927   \n",
       "245      PW     1.105323     0.031136   \n",
       "246      RU  1536.287150  2931.526082   \n",
       "247      ES    51.724956    52.915449   \n",
       "248      ES     9.491474     0.695336   \n",
       "\n",
       "                                              geometry  population  \\\n",
       "0    POLYGON ((-170.74390 -14.37555, -170.74942 -14...         0.0   \n",
       "1    MULTIPOLYGON (((-160.02114 -0.39805, -160.0281...         0.0   \n",
       "2    MULTIPOLYGON (((-159.74698 -21.25667, -159.793...         0.0   \n",
       "3    MULTIPOLYGON (((-149.17920 -17.87084, -149.258...         0.0   \n",
       "4    POLYGON ((-169.89389 -19.14556, -169.93088 -19...         0.0   \n",
       "..                                                 ...         ...   \n",
       "244  MULTIPOLYGON (((145.73468 15.08722, 145.72830 ...         0.0   \n",
       "245  MULTIPOLYGON (((134.53137 7.35444, 134.52234 7...         0.0   \n",
       "246  MULTIPOLYGON (((-179.99999 68.98010, -179.9580...         0.0   \n",
       "247  MULTIPOLYGON (((-2.91472 35.27361, -2.93924 35...         0.0   \n",
       "248  MULTIPOLYGON (((-17.91125 27.77374, -17.96389 ...         0.0   \n",
       "\n",
       "     Ind_population  PM14_19_sum_fireonly  PM14_19_sum  \\\n",
       "0               0.0                   0.0          0.0   \n",
       "1               0.0                   0.0          0.0   \n",
       "2               0.0                   0.0          0.0   \n",
       "3               0.0                   0.0          0.0   \n",
       "4               0.0                   0.0          0.0   \n",
       "..              ...                   ...          ...   \n",
       "244             0.0                   0.0          0.0   \n",
       "245             0.0                   0.0          0.0   \n",
       "246             0.0                   0.0          0.0   \n",
       "247             0.0                   0.0          0.0   \n",
       "248             0.0                   0.0          0.0   \n",
       "\n",
       "     PM14_19_sum_fireonly_ind  PM14_19_sum_ind  \n",
       "0                         0.0              0.0  \n",
       "1                         0.0              0.0  \n",
       "2                         0.0              0.0  \n",
       "3                         0.0              0.0  \n",
       "4                         0.0              0.0  \n",
       "..                        ...              ...  \n",
       "244                       0.0              0.0  \n",
       "245                       0.0              0.0  \n",
       "246                       0.0              0.0  \n",
       "247                       0.0              0.0  \n",
       "248                       0.0              0.0  \n",
       "\n",
       "[249 rows x 14 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "5f0769c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "##getting it for all the other years\n",
    "countries['PM14_sum_fireonly'],countries['PM14_sum']=pm25_pop_weighted(SA_pm25_2014,SA_pm25_2014_noGFED,countries,pop_SA,mask_SA)\n",
    "countries['PM15_sum_fireonly'],countries['PM15_sum']=pm25_pop_weighted(SA_pm25_2015,SA_pm25_2015_noGFED,countries,pop_SA,mask_SA)\n",
    "countries['PM16_sum_fireonly'],countries['PM16_sum']=pm25_pop_weighted(SA_pm25_2016,SA_pm25_2016_noGFED,countries,pop_SA,mask_SA)\n",
    "countries['PM17_sum_fireonly'],countries['PM17_sum']=pm25_pop_weighted(SA_pm25_2017,SA_pm25_2017_noGFED,countries,pop_SA,mask_SA)\n",
    "countries['PM18_sum_fireonly'],countries['PM18_sum']=pm25_pop_weighted(SA_pm25_2018,SA_pm25_2018_noGFED,countries,pop_SA,mask_SA)\n",
    "countries['PM19_sum_fireonly'],countries['PM19_sum']=pm25_pop_weighted(SA_pm25_2019,SA_pm25_2019_noGFED,countries,pop_SA,mask_SA)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "0d8041a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "##getting weighted pm for ind pop\n",
    "countries['PM14_sum_fireonly_ind'],countries['PM14_sum_ind']=pm25_pop_weighted(SA_pm25_2014,SA_pm25_2014_noGFED,countries,pop_ind,mask_ind)\n",
    "countries['PM15_sum_fireonly_ind'],countries['PM15_sum_ind']=pm25_pop_weighted(SA_pm25_2015,SA_pm25_2015_noGFED,countries,pop_ind,mask_ind)\n",
    "countries['PM16_sum_fireonly_ind'],countries['PM16_sum_ind']=pm25_pop_weighted(SA_pm25_2016,SA_pm25_2016_noGFED,countries,pop_ind,mask_ind)\n",
    "countries['PM17_sum_fireonly_ind'],countries['PM17_sum_ind']=pm25_pop_weighted(SA_pm25_2017,SA_pm25_2017_noGFED,countries,pop_ind,mask_ind)\n",
    "countries['PM18_sum_fireonly_ind'],countries['PM18_sum_ind']=pm25_pop_weighted(SA_pm25_2018,SA_pm25_2018_noGFED,countries,pop_ind,mask_ind)\n",
    "countries['PM19_sum_fireonly_ind'],countries['PM19_sum_ind']=pm25_pop_weighted(SA_pm25_2019,SA_pm25_2019_noGFED,countries,pop_ind,mask_ind)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "b2bdfcf5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>COUNTRYAFF</th>\n",
       "      <th>AFF_ISO</th>\n",
       "      <th>SHAPE_Leng</th>\n",
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       "      <th>geometry</th>\n",
       "      <th>population</th>\n",
       "      <th>Ind_population</th>\n",
       "      <th>...</th>\n",
       "      <th>PM18_sum_ind</th>\n",
       "      <th>PM19_sum_fireonly_ind</th>\n",
       "      <th>PM19_sum_ind</th>\n",
       "      <th>country</th>\n",
       "      <th>mean_mort_total</th>\n",
       "      <th>perc_2.5</th>\n",
       "      <th>perc_97.5</th>\n",
       "      <th>mean_mort_TIs</th>\n",
       "      <th>perc_2.5_TIs</th>\n",
       "      <th>perc_97.5_TIs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>138.751348</td>\n",
       "      <td>278.308965</td>\n",
       "      <td>MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...</td>\n",
       "      <td>4.266171e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>1069.408363</td>\n",
       "      <td>1851.696052</td>\n",
       "      <td>279.735034</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>FK</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>19.082564</td>\n",
       "      <td>1.495383</td>\n",
       "      <td>MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...</td>\n",
       "      <td>1.277773e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>-0.000228</td>\n",
       "      <td>-0.000065</td>\n",
       "      <td>-0.00039</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>331.249881</td>\n",
       "      <td>77.692992</td>\n",
       "      <td>MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...</td>\n",
       "      <td>1.750102e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Chile</td>\n",
       "      <td>848.753572</td>\n",
       "      <td>1475.625652</td>\n",
       "      <td>212.273984</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>35.220537</td>\n",
       "      <td>20.753615</td>\n",
       "      <td>MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...</td>\n",
       "      <td>1.551300e+07</td>\n",
       "      <td>3.947610e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.541390e+06</td>\n",
       "      <td>2.500540e+05</td>\n",
       "      <td>2.492855e+06</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>137.38127</td>\n",
       "      <td>238.289318</td>\n",
       "      <td>35.813998</td>\n",
       "      <td>6.583332</td>\n",
       "      <td>11.424334</td>\n",
       "      <td>1.777568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>68.285384</td>\n",
       "      <td>106.500858</td>\n",
       "      <td>POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...</td>\n",
       "      <td>3.023913e+07</td>\n",
       "      <td>3.294102e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>2.247228e+07</td>\n",
       "      <td>3.986435e+06</td>\n",
       "      <td>2.440765e+07</td>\n",
       "      <td>Peru</td>\n",
       "      <td>410.727956</td>\n",
       "      <td>711.562359</td>\n",
       "      <td>107.331444</td>\n",
       "      <td>81.6705</td>\n",
       "      <td>141.464617</td>\n",
       "      <td>21.346206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>52.483687</td>\n",
       "      <td>92.190105</td>\n",
       "      <td>POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...</td>\n",
       "      <td>1.074196e+07</td>\n",
       "      <td>5.883494e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>4.250951e+06</td>\n",
       "      <td>3.011212e+06</td>\n",
       "      <td>5.819365e+06</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>785.230939</td>\n",
       "      <td>1352.962895</td>\n",
       "      <td>207.288849</td>\n",
       "      <td>70.696902</td>\n",
       "      <td>121.728073</td>\n",
       "      <td>18.436346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>248.756715</td>\n",
       "      <td>707.050676</td>\n",
       "      <td>MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...</td>\n",
       "      <td>2.004947e+08</td>\n",
       "      <td>4.432759e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.031836e+06</td>\n",
       "      <td>1.192723e+06</td>\n",
       "      <td>3.762792e+06</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>6532.89566</td>\n",
       "      <td>11308.266617</td>\n",
       "      <td>1695.978117</td>\n",
       "      <td>40.30393</td>\n",
       "      <td>69.428708</td>\n",
       "      <td>10.547858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>30.891884</td>\n",
       "      <td>35.208739</td>\n",
       "      <td>POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...</td>\n",
       "      <td>6.603160e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>400.230255</td>\n",
       "      <td>693.826996</td>\n",
       "      <td>101.888749</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>18.486971</td>\n",
       "      <td>17.126245</td>\n",
       "      <td>POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...</td>\n",
       "      <td>3.296384e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>47.9143</td>\n",
       "      <td>83.035055</td>\n",
       "      <td>12.589837</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>0.610340</td>\n",
       "      <td>0.016598</td>\n",
       "      <td>POLYGON ((-69.88224 12.41111, -69.94695 12.436...</td>\n",
       "      <td>8.618913e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>0.607577</td>\n",
       "      <td>1.056644</td>\n",
       "      <td>0.154547</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>BQ</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>0.828287</td>\n",
       "      <td>0.026260</td>\n",
       "      <td>POLYGON ((-68.25111 12.02055, -68.25751 12.024...</td>\n",
       "      <td>1.489690e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>0.135886</td>\n",
       "      <td>0.236265</td>\n",
       "      <td>0.034631</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>70.687532</td>\n",
       "      <td>92.580490</td>\n",
       "      <td>MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...</td>\n",
       "      <td>4.770436e+07</td>\n",
       "      <td>3.506338e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>2.469746e+06</td>\n",
       "      <td>5.250377e+05</td>\n",
       "      <td>2.741156e+06</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>977.669372</td>\n",
       "      <td>1701.241407</td>\n",
       "      <td>245.568893</td>\n",
       "      <td>13.045241</td>\n",
       "      <td>22.612444</td>\n",
       "      <td>3.373556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>CW</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>1.160393</td>\n",
       "      <td>0.039249</td>\n",
       "      <td>POLYGON ((-68.74695 12.04027, -68.79889 12.040...</td>\n",
       "      <td>1.386115e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>1.154549</td>\n",
       "      <td>2.007293</td>\n",
       "      <td>0.294434</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>GF</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>12.253085</td>\n",
       "      <td>6.807577</td>\n",
       "      <td>POLYGON ((-54.60378 2.32919, -54.49917 2.36500...</td>\n",
       "      <td>2.527212e+05</td>\n",
       "      <td>1.000160e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>4.890104e+04</td>\n",
       "      <td>2.480730e+03</td>\n",
       "      <td>5.405644e+04</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>3.985226</td>\n",
       "      <td>6.934806</td>\n",
       "      <td>1.004012</td>\n",
       "      <td>0.163758</td>\n",
       "      <td>0.284882</td>\n",
       "      <td>0.041323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>25.707599</td>\n",
       "      <td>17.175215</td>\n",
       "      <td>POLYGON ((-58.17262 6.81222, -58.15494 6.82819...</td>\n",
       "      <td>7.159472e+05</td>\n",
       "      <td>3.859543e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>1.777074e+05</td>\n",
       "      <td>1.288052e+04</td>\n",
       "      <td>2.143450e+05</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>12.935598</td>\n",
       "      <td>22.507887</td>\n",
       "      <td>3.258867</td>\n",
       "      <td>0.630573</td>\n",
       "      <td>1.095883</td>\n",
       "      <td>0.160957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>25.300755</td>\n",
       "      <td>6.088301</td>\n",
       "      <td>MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...</td>\n",
       "      <td>5.092136e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Panama</td>\n",
       "      <td>18.648656</td>\n",
       "      <td>32.415468</td>\n",
       "      <td>4.767134</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>65</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>17.126613</td>\n",
       "      <td>11.810421</td>\n",
       "      <td>POLYGON ((-55.12796 5.82217, -55.10445 5.83944...</td>\n",
       "      <td>5.114303e+05</td>\n",
       "      <td>4.811713e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>2.955574e+02</td>\n",
       "      <td>1.956273e+01</td>\n",
       "      <td>3.213425e+02</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>7.085329</td>\n",
       "      <td>12.331803</td>\n",
       "      <td>1.78336</td>\n",
       "      <td>0.000455</td>\n",
       "      <td>0.000789</td>\n",
       "      <td>0.000118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>66</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>4.384972</td>\n",
       "      <td>0.413753</td>\n",
       "      <td>MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...</td>\n",
       "      <td>1.196673e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>19.392886</td>\n",
       "      <td>33.761613</td>\n",
       "      <td>4.874881</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "      <td>-0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>69</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>76.947448</td>\n",
       "      <td>74.628377</td>\n",
       "      <td>MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...</td>\n",
       "      <td>3.057106e+07</td>\n",
       "      <td>6.682775e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>3.949352e+06</td>\n",
       "      <td>5.388035e+05</td>\n",
       "      <td>4.747570e+06</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>669.511891</td>\n",
       "      <td>1165.527954</td>\n",
       "      <td>167.681571</td>\n",
       "      <td>13.314029</td>\n",
       "      <td>23.118545</td>\n",
       "      <td>3.407269</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19 rows × 45 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    FID              COUNTRY ISO           COUNTRYAFF AFF_ISO  SHAPE_Leng  \\\n",
       "14   15            Argentina  AR            Argentina      AR  138.751348   \n",
       "15   16     Falkland Islands  FK       United Kingdom      GB   19.082564   \n",
       "16   17                Chile  CL                Chile      CL  331.249881   \n",
       "17   18              Ecuador  EC              Ecuador      EC   35.220537   \n",
       "18   19                 Peru  PE                 Peru      PE   68.285384   \n",
       "19   20              Bolivia  BO              Bolivia      BO   52.483687   \n",
       "20   21               Brazil  BR               Brazil      BR  248.756715   \n",
       "21   22             Paraguay  PY             Paraguay      PY   30.891884   \n",
       "22   23              Uruguay  UY              Uruguay      UY   18.486971   \n",
       "29   30                Aruba  AW                Aruba      AW    0.610340   \n",
       "34   35              Bonaire  BQ          Netherlands      NL    0.828287   \n",
       "37   38             Colombia  CO             Colombia      CO   70.687532   \n",
       "40   41              Curacao  CW          Netherlands      NL    1.160393   \n",
       "43   44        French Guiana  GF               France      FR   12.253085   \n",
       "46   47               Guyana  GY               Guyana      GY   25.707599   \n",
       "53   54               Panama  PA               Panama      PA   25.300755   \n",
       "64   65             Suriname  SR             Suriname      SR   17.126613   \n",
       "65   66  Trinidad and Tobago  TT  Trinidad and Tobago      TT    4.384972   \n",
       "68   69            Venezuela  VE            Venezuela      VE   76.947448   \n",
       "\n",
       "    SHAPE_Area                                           geometry  \\\n",
       "14  278.308965  MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...   \n",
       "15    1.495383  MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...   \n",
       "16   77.692992  MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...   \n",
       "17   20.753615  MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...   \n",
       "18  106.500858  POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...   \n",
       "19   92.190105  POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...   \n",
       "20  707.050676  MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...   \n",
       "21   35.208739  POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...   \n",
       "22   17.126245  POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...   \n",
       "29    0.016598  POLYGON ((-69.88224 12.41111, -69.94695 12.436...   \n",
       "34    0.026260  POLYGON ((-68.25111 12.02055, -68.25751 12.024...   \n",
       "37   92.580490  MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...   \n",
       "40    0.039249  POLYGON ((-68.74695 12.04027, -68.79889 12.040...   \n",
       "43    6.807577  POLYGON ((-54.60378 2.32919, -54.49917 2.36500...   \n",
       "46   17.175215  POLYGON ((-58.17262 6.81222, -58.15494 6.82819...   \n",
       "53    6.088301  MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...   \n",
       "64   11.810421  POLYGON ((-55.12796 5.82217, -55.10445 5.83944...   \n",
       "65    0.413753  MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...   \n",
       "68   74.628377  MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...   \n",
       "\n",
       "      population  Ind_population  ...  PM18_sum_ind  PM19_sum_fireonly_ind  \\\n",
       "14  4.266171e+07    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "15  1.277773e+03    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "16  1.750102e+07    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "17  1.551300e+07    3.947610e+05  ...  2.541390e+06           2.500540e+05   \n",
       "18  3.023913e+07    3.294102e+06  ...  2.247228e+07           3.986435e+06   \n",
       "19  1.074196e+07    5.883494e+05  ...  4.250951e+06           3.011212e+06   \n",
       "20  2.004947e+08    4.432759e+05  ...  3.031836e+06           1.192723e+06   \n",
       "21  6.603160e+06    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "22  3.296384e+06    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "29  8.618913e+04    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "34  1.489690e+04    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "37  4.770436e+07    3.506338e+05  ...  2.469746e+06           5.250377e+05   \n",
       "40  1.386115e+05    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "43  2.527212e+05    1.000160e+04  ...  4.890104e+04           2.480730e+03   \n",
       "46  7.159472e+05    3.859543e+04  ...  1.777074e+05           1.288052e+04   \n",
       "53  5.092136e+02    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "64  5.114303e+05    4.811713e+01  ...  2.955574e+02           1.956273e+01   \n",
       "65  1.196673e+06    0.000000e+00  ...  0.000000e+00           0.000000e+00   \n",
       "68  3.057106e+07    6.682775e+05  ...  3.949352e+06           5.388035e+05   \n",
       "\n",
       "    PM19_sum_ind              country  mean_mort_total      perc_2.5  \\\n",
       "14  0.000000e+00            Argentina      1069.408363   1851.696052   \n",
       "15  0.000000e+00     Falkland Islands        -0.000228     -0.000065   \n",
       "16  0.000000e+00                Chile       848.753572   1475.625652   \n",
       "17  2.492855e+06              Ecuador        137.38127    238.289318   \n",
       "18  2.440765e+07                 Peru       410.727956    711.562359   \n",
       "19  5.819365e+06              Bolivia       785.230939   1352.962895   \n",
       "20  3.762792e+06               Brazil       6532.89566  11308.266617   \n",
       "21  0.000000e+00             Paraguay       400.230255    693.826996   \n",
       "22  0.000000e+00              Uruguay          47.9143     83.035055   \n",
       "29  0.000000e+00                Aruba         0.607577      1.056644   \n",
       "34  0.000000e+00              Bonaire         0.135886      0.236265   \n",
       "37  2.741156e+06             Colombia       977.669372   1701.241407   \n",
       "40  0.000000e+00              Curacao         1.154549      2.007293   \n",
       "43  5.405644e+04        French Guiana         3.985226      6.934806   \n",
       "46  2.143450e+05               Guyana        12.935598     22.507887   \n",
       "53  0.000000e+00               Panama        18.648656     32.415468   \n",
       "64  3.213425e+02             Suriname         7.085329     12.331803   \n",
       "65  0.000000e+00  Trinidad and Tobago        19.392886     33.761613   \n",
       "68  4.747570e+06            Venezuela       669.511891   1165.527954   \n",
       "\n",
       "      perc_97.5  mean_mort_TIs  perc_2.5_TIs  perc_97.5_TIs  \n",
       "14   279.735034           -0.0          -0.0           -0.0  \n",
       "15     -0.00039           -0.0          -0.0           -0.0  \n",
       "16   212.273984           -0.0          -0.0           -0.0  \n",
       "17    35.813998       6.583332     11.424334       1.777568  \n",
       "18   107.331444        81.6705    141.464617      21.346206  \n",
       "19   207.288849      70.696902    121.728073      18.436346  \n",
       "20  1695.978117       40.30393     69.428708      10.547858  \n",
       "21   101.888749           -0.0          -0.0           -0.0  \n",
       "22    12.589837           -0.0          -0.0           -0.0  \n",
       "29     0.154547           -0.0          -0.0           -0.0  \n",
       "34     0.034631           -0.0          -0.0           -0.0  \n",
       "37   245.568893      13.045241     22.612444       3.373556  \n",
       "40     0.294434           -0.0          -0.0           -0.0  \n",
       "43     1.004012       0.163758      0.284882       0.041323  \n",
       "46     3.258867       0.630573      1.095883       0.160957  \n",
       "53     4.767134           -0.0          -0.0           -0.0  \n",
       "64      1.78336       0.000455      0.000789       0.000118  \n",
       "65     4.874881           -0.0          -0.0           -0.0  \n",
       "68   167.681571      13.314029     23.118545       3.407269  \n",
       "\n",
       "[19 rows x 45 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "countries_pop=countries.merge(country_mort_2014_2019,left_on='COUNTRY',right_on='country',how='outer')\n",
    "SA_countries= countries_pop.loc[(countries_pop[['population']] != 0).all(axis=1)]\n",
    "\n",
    "#countries=countries.merge(country_2014_2019sumtotal,left_on='COUNTRY',right_on='country',how='outer')\n",
    "SA_countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "3e0df181",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n"
     ]
    },
    {
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       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>COUNTRYAFF</th>\n",
       "      <th>AFF_ISO</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>SHAPE_Area</th>\n",
       "      <th>geometry</th>\n",
       "      <th>population</th>\n",
       "      <th>Ind_population</th>\n",
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       "      <th>PM16_pop_weighted_ind</th>\n",
       "      <th>PM16_fire_pop_weighted_ind</th>\n",
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       "      <th>PM17_fire_pop_weighted_ind</th>\n",
       "      <th>PM18_pop_weighted_ind</th>\n",
       "      <th>PM18_fire_pop_weighted_ind</th>\n",
       "      <th>PM19_pop_weighted_ind</th>\n",
       "      <th>PM19_fire_pop_weighted_ind</th>\n",
       "      <th>PM14_19_pop_weighted_ind</th>\n",
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       "  </thead>\n",
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       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>Argentina</td>\n",
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       "      <td>138.751348</td>\n",
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       "      <td>MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>FK</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GB</td>\n",
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       "      <td>MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...</td>\n",
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       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>Chile</td>\n",
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       "      <td>331.249881</td>\n",
       "      <td>77.692992</td>\n",
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       "      <td>MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...</td>\n",
       "      <td>1.551300e+07</td>\n",
       "      <td>3.947610e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.934742</td>\n",
       "      <td>0.751939</td>\n",
       "      <td>6.690863</td>\n",
       "      <td>0.605335</td>\n",
       "      <td>6.437795</td>\n",
       "      <td>0.712158</td>\n",
       "      <td>6.314848</td>\n",
       "      <td>0.633431</td>\n",
       "      <td>6.352409</td>\n",
       "      <td>0.583139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>68.285384</td>\n",
       "      <td>106.500858</td>\n",
       "      <td>POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...</td>\n",
       "      <td>3.023913e+07</td>\n",
       "      <td>3.294102e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>7.761389</td>\n",
       "      <td>1.127445</td>\n",
       "      <td>7.198512</td>\n",
       "      <td>0.829362</td>\n",
       "      <td>6.821974</td>\n",
       "      <td>0.531691</td>\n",
       "      <td>7.409501</td>\n",
       "      <td>1.210174</td>\n",
       "      <td>7.125652</td>\n",
       "      <td>0.804339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>52.483687</td>\n",
       "      <td>92.190105</td>\n",
       "      <td>POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...</td>\n",
       "      <td>1.074196e+07</td>\n",
       "      <td>5.883494e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>9.985213</td>\n",
       "      <td>5.015380</td>\n",
       "      <td>8.321863</td>\n",
       "      <td>3.611937</td>\n",
       "      <td>7.225215</td>\n",
       "      <td>2.701168</td>\n",
       "      <td>9.891000</td>\n",
       "      <td>5.118067</td>\n",
       "      <td>8.460786</td>\n",
       "      <td>3.628077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>248.756715</td>\n",
       "      <td>707.050676</td>\n",
       "      <td>MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...</td>\n",
       "      <td>2.004947e+08</td>\n",
       "      <td>4.432759e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>9.292576</td>\n",
       "      <td>2.998099</td>\n",
       "      <td>8.269934</td>\n",
       "      <td>2.648487</td>\n",
       "      <td>6.839613</td>\n",
       "      <td>1.405288</td>\n",
       "      <td>8.488600</td>\n",
       "      <td>2.690701</td>\n",
       "      <td>8.251481</td>\n",
       "      <td>2.432848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>30.891884</td>\n",
       "      <td>35.208739</td>\n",
       "      <td>POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...</td>\n",
       "      <td>6.603160e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>18.486971</td>\n",
       "      <td>17.126245</td>\n",
       "      <td>POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...</td>\n",
       "      <td>3.296384e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>0.610340</td>\n",
       "      <td>0.016598</td>\n",
       "      <td>POLYGON ((-69.88224 12.41111, -69.94695 12.436...</td>\n",
       "      <td>8.618913e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>BQ</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>0.828287</td>\n",
       "      <td>0.026260</td>\n",
       "      <td>POLYGON ((-68.25111 12.02055, -68.25751 12.024...</td>\n",
       "      <td>1.489690e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>70.687532</td>\n",
       "      <td>92.580490</td>\n",
       "      <td>MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...</td>\n",
       "      <td>4.770436e+07</td>\n",
       "      <td>3.506338e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>8.118326</td>\n",
       "      <td>1.331836</td>\n",
       "      <td>7.054651</td>\n",
       "      <td>1.005875</td>\n",
       "      <td>7.043661</td>\n",
       "      <td>1.201711</td>\n",
       "      <td>7.817716</td>\n",
       "      <td>1.497396</td>\n",
       "      <td>7.440638</td>\n",
       "      <td>1.118713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>CW</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>1.160393</td>\n",
       "      <td>0.039249</td>\n",
       "      <td>POLYGON ((-68.74695 12.04027, -68.79889 12.040...</td>\n",
       "      <td>1.386115e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>GF</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>12.253085</td>\n",
       "      <td>6.807577</td>\n",
       "      <td>POLYGON ((-54.60378 2.32919, -54.49917 2.36500...</td>\n",
       "      <td>2.527212e+05</td>\n",
       "      <td>1.000160e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>5.869482</td>\n",
       "      <td>0.354112</td>\n",
       "      <td>5.315986</td>\n",
       "      <td>0.197548</td>\n",
       "      <td>4.889321</td>\n",
       "      <td>0.212934</td>\n",
       "      <td>5.404779</td>\n",
       "      <td>0.248033</td>\n",
       "      <td>5.504960</td>\n",
       "      <td>0.241927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>25.707599</td>\n",
       "      <td>17.175215</td>\n",
       "      <td>POLYGON ((-58.17262 6.81222, -58.15494 6.82819...</td>\n",
       "      <td>7.159472e+05</td>\n",
       "      <td>3.859543e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>5.950949</td>\n",
       "      <td>0.360919</td>\n",
       "      <td>5.348192</td>\n",
       "      <td>0.190474</td>\n",
       "      <td>4.604364</td>\n",
       "      <td>0.207117</td>\n",
       "      <td>5.553637</td>\n",
       "      <td>0.333732</td>\n",
       "      <td>5.517827</td>\n",
       "      <td>0.280332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>25.300755</td>\n",
       "      <td>6.088301</td>\n",
       "      <td>MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...</td>\n",
       "      <td>5.092136e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>65</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>17.126613</td>\n",
       "      <td>11.810421</td>\n",
       "      <td>POLYGON ((-55.12796 5.82217, -55.10445 5.83944...</td>\n",
       "      <td>5.114303e+05</td>\n",
       "      <td>4.811713e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>7.322478</td>\n",
       "      <td>0.447883</td>\n",
       "      <td>6.300251</td>\n",
       "      <td>0.254927</td>\n",
       "      <td>6.142457</td>\n",
       "      <td>0.278422</td>\n",
       "      <td>6.678340</td>\n",
       "      <td>0.406565</td>\n",
       "      <td>6.795068</td>\n",
       "      <td>0.355972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>66</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>4.384972</td>\n",
       "      <td>0.413753</td>\n",
       "      <td>MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...</td>\n",
       "      <td>1.196673e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>69</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>76.947448</td>\n",
       "      <td>74.628377</td>\n",
       "      <td>MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...</td>\n",
       "      <td>3.057106e+07</td>\n",
       "      <td>6.682775e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>7.603247</td>\n",
       "      <td>0.835006</td>\n",
       "      <td>6.755760</td>\n",
       "      <td>0.389413</td>\n",
       "      <td>5.909749</td>\n",
       "      <td>0.472162</td>\n",
       "      <td>7.104189</td>\n",
       "      <td>0.806257</td>\n",
       "      <td>7.061080</td>\n",
       "      <td>0.572979</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    FID              COUNTRY ISO           COUNTRYAFF AFF_ISO  SHAPE_Leng  \\\n",
       "14   15            Argentina  AR            Argentina      AR  138.751348   \n",
       "15   16     Falkland Islands  FK       United Kingdom      GB   19.082564   \n",
       "16   17                Chile  CL                Chile      CL  331.249881   \n",
       "17   18              Ecuador  EC              Ecuador      EC   35.220537   \n",
       "18   19                 Peru  PE                 Peru      PE   68.285384   \n",
       "19   20              Bolivia  BO              Bolivia      BO   52.483687   \n",
       "20   21               Brazil  BR               Brazil      BR  248.756715   \n",
       "21   22             Paraguay  PY             Paraguay      PY   30.891884   \n",
       "22   23              Uruguay  UY              Uruguay      UY   18.486971   \n",
       "29   30                Aruba  AW                Aruba      AW    0.610340   \n",
       "34   35              Bonaire  BQ          Netherlands      NL    0.828287   \n",
       "37   38             Colombia  CO             Colombia      CO   70.687532   \n",
       "40   41              Curacao  CW          Netherlands      NL    1.160393   \n",
       "43   44        French Guiana  GF               France      FR   12.253085   \n",
       "46   47               Guyana  GY               Guyana      GY   25.707599   \n",
       "53   54               Panama  PA               Panama      PA   25.300755   \n",
       "64   65             Suriname  SR             Suriname      SR   17.126613   \n",
       "65   66  Trinidad and Tobago  TT  Trinidad and Tobago      TT    4.384972   \n",
       "68   69            Venezuela  VE            Venezuela      VE   76.947448   \n",
       "\n",
       "    SHAPE_Area                                           geometry  \\\n",
       "14  278.308965  MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...   \n",
       "15    1.495383  MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...   \n",
       "16   77.692992  MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...   \n",
       "17   20.753615  MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...   \n",
       "18  106.500858  POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...   \n",
       "19   92.190105  POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...   \n",
       "20  707.050676  MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...   \n",
       "21   35.208739  POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...   \n",
       "22   17.126245  POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...   \n",
       "29    0.016598  POLYGON ((-69.88224 12.41111, -69.94695 12.436...   \n",
       "34    0.026260  POLYGON ((-68.25111 12.02055, -68.25751 12.024...   \n",
       "37   92.580490  MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...   \n",
       "40    0.039249  POLYGON ((-68.74695 12.04027, -68.79889 12.040...   \n",
       "43    6.807577  POLYGON ((-54.60378 2.32919, -54.49917 2.36500...   \n",
       "46   17.175215  POLYGON ((-58.17262 6.81222, -58.15494 6.82819...   \n",
       "53    6.088301  MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...   \n",
       "64   11.810421  POLYGON ((-55.12796 5.82217, -55.10445 5.83944...   \n",
       "65    0.413753  MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...   \n",
       "68   74.628377  MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...   \n",
       "\n",
       "      population  Ind_population  ...  PM16_pop_weighted_ind  \\\n",
       "14  4.266171e+07    0.000000e+00  ...                    NaN   \n",
       "15  1.277773e+03    0.000000e+00  ...                    NaN   \n",
       "16  1.750102e+07    0.000000e+00  ...                    NaN   \n",
       "17  1.551300e+07    3.947610e+05  ...               6.934742   \n",
       "18  3.023913e+07    3.294102e+06  ...               7.761389   \n",
       "19  1.074196e+07    5.883494e+05  ...               9.985213   \n",
       "20  2.004947e+08    4.432759e+05  ...               9.292576   \n",
       "21  6.603160e+06    0.000000e+00  ...                    NaN   \n",
       "22  3.296384e+06    0.000000e+00  ...                    NaN   \n",
       "29  8.618913e+04    0.000000e+00  ...                    NaN   \n",
       "34  1.489690e+04    0.000000e+00  ...                    NaN   \n",
       "37  4.770436e+07    3.506338e+05  ...               8.118326   \n",
       "40  1.386115e+05    0.000000e+00  ...                    NaN   \n",
       "43  2.527212e+05    1.000160e+04  ...               5.869482   \n",
       "46  7.159472e+05    3.859543e+04  ...               5.950949   \n",
       "53  5.092136e+02    0.000000e+00  ...                    NaN   \n",
       "64  5.114303e+05    4.811713e+01  ...               7.322478   \n",
       "65  1.196673e+06    0.000000e+00  ...                    NaN   \n",
       "68  3.057106e+07    6.682775e+05  ...               7.603247   \n",
       "\n",
       "    PM16_fire_pop_weighted_ind  PM17_pop_weighted_ind  \\\n",
       "14                         NaN                    NaN   \n",
       "15                         NaN                    NaN   \n",
       "16                         NaN                    NaN   \n",
       "17                    0.751939               6.690863   \n",
       "18                    1.127445               7.198512   \n",
       "19                    5.015380               8.321863   \n",
       "20                    2.998099               8.269934   \n",
       "21                         NaN                    NaN   \n",
       "22                         NaN                    NaN   \n",
       "29                         NaN                    NaN   \n",
       "34                         NaN                    NaN   \n",
       "37                    1.331836               7.054651   \n",
       "40                         NaN                    NaN   \n",
       "43                    0.354112               5.315986   \n",
       "46                    0.360919               5.348192   \n",
       "53                         NaN                    NaN   \n",
       "64                    0.447883               6.300251   \n",
       "65                         NaN                    NaN   \n",
       "68                    0.835006               6.755760   \n",
       "\n",
       "    PM17_fire_pop_weighted_ind  PM18_pop_weighted_ind  \\\n",
       "14                         NaN                    NaN   \n",
       "15                         NaN                    NaN   \n",
       "16                         NaN                    NaN   \n",
       "17                    0.605335               6.437795   \n",
       "18                    0.829362               6.821974   \n",
       "19                    3.611937               7.225215   \n",
       "20                    2.648487               6.839613   \n",
       "21                         NaN                    NaN   \n",
       "22                         NaN                    NaN   \n",
       "29                         NaN                    NaN   \n",
       "34                         NaN                    NaN   \n",
       "37                    1.005875               7.043661   \n",
       "40                         NaN                    NaN   \n",
       "43                    0.197548               4.889321   \n",
       "46                    0.190474               4.604364   \n",
       "53                         NaN                    NaN   \n",
       "64                    0.254927               6.142457   \n",
       "65                         NaN                    NaN   \n",
       "68                    0.389413               5.909749   \n",
       "\n",
       "    PM18_fire_pop_weighted_ind  PM19_pop_weighted_ind  \\\n",
       "14                         NaN                    NaN   \n",
       "15                         NaN                    NaN   \n",
       "16                         NaN                    NaN   \n",
       "17                    0.712158               6.314848   \n",
       "18                    0.531691               7.409501   \n",
       "19                    2.701168               9.891000   \n",
       "20                    1.405288               8.488600   \n",
       "21                         NaN                    NaN   \n",
       "22                         NaN                    NaN   \n",
       "29                         NaN                    NaN   \n",
       "34                         NaN                    NaN   \n",
       "37                    1.201711               7.817716   \n",
       "40                         NaN                    NaN   \n",
       "43                    0.212934               5.404779   \n",
       "46                    0.207117               5.553637   \n",
       "53                         NaN                    NaN   \n",
       "64                    0.278422               6.678340   \n",
       "65                         NaN                    NaN   \n",
       "68                    0.472162               7.104189   \n",
       "\n",
       "    PM19_fire_pop_weighted_ind  PM14_19_pop_weighted_ind  \\\n",
       "14                         NaN                       NaN   \n",
       "15                         NaN                       NaN   \n",
       "16                         NaN                       NaN   \n",
       "17                    0.633431                  6.352409   \n",
       "18                    1.210174                  7.125652   \n",
       "19                    5.118067                  8.460786   \n",
       "20                    2.690701                  8.251481   \n",
       "21                         NaN                       NaN   \n",
       "22                         NaN                       NaN   \n",
       "29                         NaN                       NaN   \n",
       "34                         NaN                       NaN   \n",
       "37                    1.497396                  7.440638   \n",
       "40                         NaN                       NaN   \n",
       "43                    0.248033                  5.504960   \n",
       "46                    0.333732                  5.517827   \n",
       "53                         NaN                       NaN   \n",
       "64                    0.406565                  6.795068   \n",
       "65                         NaN                       NaN   \n",
       "68                    0.806257                  7.061080   \n",
       "\n",
       "    PM14_19_fire_pop_weighted_ind  \n",
       "14                            NaN  \n",
       "15                            NaN  \n",
       "16                            NaN  \n",
       "17                       0.583139  \n",
       "18                       0.804339  \n",
       "19                       3.628077  \n",
       "20                       2.432848  \n",
       "21                            NaN  \n",
       "22                            NaN  \n",
       "29                            NaN  \n",
       "34                            NaN  \n",
       "37                       1.118713  \n",
       "40                            NaN  \n",
       "43                       0.241927  \n",
       "46                       0.280332  \n",
       "53                            NaN  \n",
       "64                       0.355972  \n",
       "65                            NaN  \n",
       "68                       0.572979  \n",
       "\n",
       "[19 rows x 59 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### calculated weighted PM for total and fire only \n",
    "SA_countries['PM14_pop_weighted_ind']=SA_countries['PM14_sum_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM14_fire_pop_weighted_ind']=SA_countries['PM14_sum_fireonly_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM15_pop_weighted_ind']=SA_countries['PM15_sum_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM15_fire_pop_weighted_ind']=SA_countries['PM15_sum_fireonly_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM16_pop_weighted_ind']=SA_countries['PM16_sum_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM16_fire_pop_weighted_ind']=SA_countries['PM16_sum_fireonly_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM17_pop_weighted_ind']=SA_countries['PM17_sum_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM17_fire_pop_weighted_ind']=SA_countries['PM17_sum_fireonly_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM18_pop_weighted_ind']=SA_countries['PM18_sum_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM18_fire_pop_weighted_ind']=SA_countries['PM18_sum_fireonly_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM19_pop_weighted_ind']=SA_countries['PM19_sum_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM19_fire_pop_weighted_ind']=SA_countries['PM19_sum_fireonly_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM14_19_pop_weighted_ind']=SA_countries['PM14_19_sum_ind']/SA_countries['Ind_population']\n",
    "SA_countries['PM14_19_fire_pop_weighted_ind']=SA_countries['PM14_19_sum_fireonly_ind']/SA_countries['Ind_population']\n",
    "SA_countries\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "35b5167e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>COUNTRYAFF</th>\n",
       "      <th>AFF_ISO</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>SHAPE_Area</th>\n",
       "      <th>geometry</th>\n",
       "      <th>population</th>\n",
       "      <th>Ind_population</th>\n",
       "      <th>...</th>\n",
       "      <th>PM16_pop_weighted</th>\n",
       "      <th>PM16_fire_pop_weighted</th>\n",
       "      <th>PM17_pop_weighted</th>\n",
       "      <th>PM17_fire_pop_weighted</th>\n",
       "      <th>PM18_pop_weighted</th>\n",
       "      <th>PM18_fire_pop_weighted</th>\n",
       "      <th>PM19_pop_weighted</th>\n",
       "      <th>PM19_fire_pop_weighted</th>\n",
       "      <th>PM14_19_pop_weighted</th>\n",
       "      <th>PM14_19_fire_pop_weighted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>138.751348</td>\n",
       "      <td>278.308965</td>\n",
       "      <td>MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...</td>\n",
       "      <td>4.266171e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>4.239092</td>\n",
       "      <td>0.485431</td>\n",
       "      <td>4.689505</td>\n",
       "      <td>0.535850</td>\n",
       "      <td>4.422872</td>\n",
       "      <td>0.449839</td>\n",
       "      <td>4.451532</td>\n",
       "      <td>0.573835</td>\n",
       "      <td>4.377204</td>\n",
       "      <td>0.475616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>FK</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>19.082564</td>\n",
       "      <td>1.495383</td>\n",
       "      <td>MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...</td>\n",
       "      <td>1.277773e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.174818</td>\n",
       "      <td>0.001715</td>\n",
       "      <td>0.169758</td>\n",
       "      <td>-0.005960</td>\n",
       "      <td>0.191825</td>\n",
       "      <td>0.000678</td>\n",
       "      <td>0.199168</td>\n",
       "      <td>0.001215</td>\n",
       "      <td>0.181626</td>\n",
       "      <td>-0.000181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>331.249881</td>\n",
       "      <td>77.692992</td>\n",
       "      <td>MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...</td>\n",
       "      <td>1.750102e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>13.332941</td>\n",
       "      <td>0.390808</td>\n",
       "      <td>16.558493</td>\n",
       "      <td>3.501844</td>\n",
       "      <td>13.320688</td>\n",
       "      <td>0.424245</td>\n",
       "      <td>12.994747</td>\n",
       "      <td>0.467986</td>\n",
       "      <td>13.896309</td>\n",
       "      <td>1.064365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>35.220537</td>\n",
       "      <td>20.753615</td>\n",
       "      <td>MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...</td>\n",
       "      <td>1.551300e+07</td>\n",
       "      <td>3.947610e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.435945</td>\n",
       "      <td>0.397526</td>\n",
       "      <td>6.293916</td>\n",
       "      <td>0.248648</td>\n",
       "      <td>6.113435</td>\n",
       "      <td>0.251997</td>\n",
       "      <td>6.225786</td>\n",
       "      <td>0.296716</td>\n",
       "      <td>6.094951</td>\n",
       "      <td>0.263895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>68.285384</td>\n",
       "      <td>106.500858</td>\n",
       "      <td>POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...</td>\n",
       "      <td>3.023913e+07</td>\n",
       "      <td>3.294102e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.804000</td>\n",
       "      <td>0.494008</td>\n",
       "      <td>3.570324</td>\n",
       "      <td>0.361549</td>\n",
       "      <td>3.446081</td>\n",
       "      <td>0.244198</td>\n",
       "      <td>3.670725</td>\n",
       "      <td>0.516961</td>\n",
       "      <td>3.540151</td>\n",
       "      <td>0.350898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>52.483687</td>\n",
       "      <td>92.190105</td>\n",
       "      <td>POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...</td>\n",
       "      <td>1.074196e+07</td>\n",
       "      <td>5.883494e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>7.917815</td>\n",
       "      <td>3.147582</td>\n",
       "      <td>6.714218</td>\n",
       "      <td>2.177770</td>\n",
       "      <td>5.907734</td>\n",
       "      <td>1.523291</td>\n",
       "      <td>7.622987</td>\n",
       "      <td>3.043645</td>\n",
       "      <td>6.835521</td>\n",
       "      <td>2.205434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>248.756715</td>\n",
       "      <td>707.050676</td>\n",
       "      <td>MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...</td>\n",
       "      <td>2.004947e+08</td>\n",
       "      <td>4.432759e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>8.011853</td>\n",
       "      <td>0.792210</td>\n",
       "      <td>7.504753</td>\n",
       "      <td>0.695209</td>\n",
       "      <td>7.321494</td>\n",
       "      <td>0.429262</td>\n",
       "      <td>7.462359</td>\n",
       "      <td>0.765488</td>\n",
       "      <td>7.535198</td>\n",
       "      <td>0.712861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>30.891884</td>\n",
       "      <td>35.208739</td>\n",
       "      <td>POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...</td>\n",
       "      <td>6.603160e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>9.147199</td>\n",
       "      <td>1.781834</td>\n",
       "      <td>9.186591</td>\n",
       "      <td>2.276835</td>\n",
       "      <td>8.687212</td>\n",
       "      <td>1.731242</td>\n",
       "      <td>9.695331</td>\n",
       "      <td>2.903753</td>\n",
       "      <td>9.149911</td>\n",
       "      <td>2.085202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>18.486971</td>\n",
       "      <td>17.126245</td>\n",
       "      <td>POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...</td>\n",
       "      <td>3.296384e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.142165</td>\n",
       "      <td>0.107275</td>\n",
       "      <td>2.234201</td>\n",
       "      <td>0.108207</td>\n",
       "      <td>1.941907</td>\n",
       "      <td>0.102161</td>\n",
       "      <td>2.108974</td>\n",
       "      <td>0.188824</td>\n",
       "      <td>2.090939</td>\n",
       "      <td>0.121297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>0.610340</td>\n",
       "      <td>0.016598</td>\n",
       "      <td>POLYGON ((-69.88224 12.41111, -69.94695 12.436...</td>\n",
       "      <td>8.618913e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>BQ</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>0.828287</td>\n",
       "      <td>0.026260</td>\n",
       "      <td>POLYGON ((-68.25111 12.02055, -68.25751 12.024...</td>\n",
       "      <td>1.489690e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>70.687532</td>\n",
       "      <td>92.580490</td>\n",
       "      <td>MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...</td>\n",
       "      <td>4.770436e+07</td>\n",
       "      <td>3.506338e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>9.677888</td>\n",
       "      <td>0.798143</td>\n",
       "      <td>9.502317</td>\n",
       "      <td>0.299428</td>\n",
       "      <td>9.293457</td>\n",
       "      <td>0.466535</td>\n",
       "      <td>9.674983</td>\n",
       "      <td>0.719633</td>\n",
       "      <td>9.516468</td>\n",
       "      <td>0.537545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>CW</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>1.160393</td>\n",
       "      <td>0.039249</td>\n",
       "      <td>POLYGON ((-68.74695 12.04027, -68.79889 12.040...</td>\n",
       "      <td>1.386115e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>GF</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>12.253085</td>\n",
       "      <td>6.807577</td>\n",
       "      <td>POLYGON ((-54.60378 2.32919, -54.49917 2.36500...</td>\n",
       "      <td>2.527212e+05</td>\n",
       "      <td>1.000160e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>4.437284</td>\n",
       "      <td>0.256809</td>\n",
       "      <td>4.055203</td>\n",
       "      <td>0.142172</td>\n",
       "      <td>3.701716</td>\n",
       "      <td>0.154982</td>\n",
       "      <td>4.094517</td>\n",
       "      <td>0.182589</td>\n",
       "      <td>4.181423</td>\n",
       "      <td>0.176264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>25.707599</td>\n",
       "      <td>17.175215</td>\n",
       "      <td>POLYGON ((-58.17262 6.81222, -58.15494 6.82819...</td>\n",
       "      <td>7.159472e+05</td>\n",
       "      <td>3.859543e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>1.572231</td>\n",
       "      <td>0.107313</td>\n",
       "      <td>1.409642</td>\n",
       "      <td>0.044494</td>\n",
       "      <td>1.213575</td>\n",
       "      <td>0.052570</td>\n",
       "      <td>1.448838</td>\n",
       "      <td>0.073283</td>\n",
       "      <td>1.460768</td>\n",
       "      <td>0.073151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>25.300755</td>\n",
       "      <td>6.088301</td>\n",
       "      <td>MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...</td>\n",
       "      <td>5.092136e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>65</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>17.126613</td>\n",
       "      <td>11.810421</td>\n",
       "      <td>POLYGON ((-55.12796 5.82217, -55.10445 5.83944...</td>\n",
       "      <td>5.114303e+05</td>\n",
       "      <td>4.811713e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>1.210372</td>\n",
       "      <td>0.073576</td>\n",
       "      <td>1.100571</td>\n",
       "      <td>0.038386</td>\n",
       "      <td>0.997031</td>\n",
       "      <td>0.044462</td>\n",
       "      <td>1.122792</td>\n",
       "      <td>0.052470</td>\n",
       "      <td>1.138846</td>\n",
       "      <td>0.049390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>66</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>4.384972</td>\n",
       "      <td>0.413753</td>\n",
       "      <td>MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...</td>\n",
       "      <td>1.196673e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>69</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>76.947448</td>\n",
       "      <td>74.628377</td>\n",
       "      <td>MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...</td>\n",
       "      <td>3.057106e+07</td>\n",
       "      <td>6.682775e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.456002</td>\n",
       "      <td>0.803629</td>\n",
       "      <td>6.017040</td>\n",
       "      <td>0.224823</td>\n",
       "      <td>5.567620</td>\n",
       "      <td>0.390105</td>\n",
       "      <td>5.864332</td>\n",
       "      <td>0.555745</td>\n",
       "      <td>6.108613</td>\n",
       "      <td>0.451020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19 rows × 73 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    FID              COUNTRY ISO           COUNTRYAFF AFF_ISO  SHAPE_Leng  \\\n",
       "14   15            Argentina  AR            Argentina      AR  138.751348   \n",
       "15   16     Falkland Islands  FK       United Kingdom      GB   19.082564   \n",
       "16   17                Chile  CL                Chile      CL  331.249881   \n",
       "17   18              Ecuador  EC              Ecuador      EC   35.220537   \n",
       "18   19                 Peru  PE                 Peru      PE   68.285384   \n",
       "19   20              Bolivia  BO              Bolivia      BO   52.483687   \n",
       "20   21               Brazil  BR               Brazil      BR  248.756715   \n",
       "21   22             Paraguay  PY             Paraguay      PY   30.891884   \n",
       "22   23              Uruguay  UY              Uruguay      UY   18.486971   \n",
       "29   30                Aruba  AW                Aruba      AW    0.610340   \n",
       "34   35              Bonaire  BQ          Netherlands      NL    0.828287   \n",
       "37   38             Colombia  CO             Colombia      CO   70.687532   \n",
       "40   41              Curacao  CW          Netherlands      NL    1.160393   \n",
       "43   44        French Guiana  GF               France      FR   12.253085   \n",
       "46   47               Guyana  GY               Guyana      GY   25.707599   \n",
       "53   54               Panama  PA               Panama      PA   25.300755   \n",
       "64   65             Suriname  SR             Suriname      SR   17.126613   \n",
       "65   66  Trinidad and Tobago  TT  Trinidad and Tobago      TT    4.384972   \n",
       "68   69            Venezuela  VE            Venezuela      VE   76.947448   \n",
       "\n",
       "    SHAPE_Area                                           geometry  \\\n",
       "14  278.308965  MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...   \n",
       "15    1.495383  MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...   \n",
       "16   77.692992  MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...   \n",
       "17   20.753615  MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...   \n",
       "18  106.500858  POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...   \n",
       "19   92.190105  POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...   \n",
       "20  707.050676  MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...   \n",
       "21   35.208739  POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...   \n",
       "22   17.126245  POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...   \n",
       "29    0.016598  POLYGON ((-69.88224 12.41111, -69.94695 12.436...   \n",
       "34    0.026260  POLYGON ((-68.25111 12.02055, -68.25751 12.024...   \n",
       "37   92.580490  MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...   \n",
       "40    0.039249  POLYGON ((-68.74695 12.04027, -68.79889 12.040...   \n",
       "43    6.807577  POLYGON ((-54.60378 2.32919, -54.49917 2.36500...   \n",
       "46   17.175215  POLYGON ((-58.17262 6.81222, -58.15494 6.82819...   \n",
       "53    6.088301  MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...   \n",
       "64   11.810421  POLYGON ((-55.12796 5.82217, -55.10445 5.83944...   \n",
       "65    0.413753  MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...   \n",
       "68   74.628377  MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...   \n",
       "\n",
       "      population  Ind_population  ...  PM16_pop_weighted  \\\n",
       "14  4.266171e+07    0.000000e+00  ...           4.239092   \n",
       "15  1.277773e+03    0.000000e+00  ...           0.174818   \n",
       "16  1.750102e+07    0.000000e+00  ...          13.332941   \n",
       "17  1.551300e+07    3.947610e+05  ...           6.435945   \n",
       "18  3.023913e+07    3.294102e+06  ...           3.804000   \n",
       "19  1.074196e+07    5.883494e+05  ...           7.917815   \n",
       "20  2.004947e+08    4.432759e+05  ...           8.011853   \n",
       "21  6.603160e+06    0.000000e+00  ...           9.147199   \n",
       "22  3.296384e+06    0.000000e+00  ...           2.142165   \n",
       "29  8.618913e+04    0.000000e+00  ...           0.000000   \n",
       "34  1.489690e+04    0.000000e+00  ...           0.000000   \n",
       "37  4.770436e+07    3.506338e+05  ...           9.677888   \n",
       "40  1.386115e+05    0.000000e+00  ...           0.000000   \n",
       "43  2.527212e+05    1.000160e+04  ...           4.437284   \n",
       "46  7.159472e+05    3.859543e+04  ...           1.572231   \n",
       "53  5.092136e+02    0.000000e+00  ...           0.000000   \n",
       "64  5.114303e+05    4.811713e+01  ...           1.210372   \n",
       "65  1.196673e+06    0.000000e+00  ...           0.000000   \n",
       "68  3.057106e+07    6.682775e+05  ...           6.456002   \n",
       "\n",
       "    PM16_fire_pop_weighted  PM17_pop_weighted  PM17_fire_pop_weighted  \\\n",
       "14                0.485431           4.689505                0.535850   \n",
       "15                0.001715           0.169758               -0.005960   \n",
       "16                0.390808          16.558493                3.501844   \n",
       "17                0.397526           6.293916                0.248648   \n",
       "18                0.494008           3.570324                0.361549   \n",
       "19                3.147582           6.714218                2.177770   \n",
       "20                0.792210           7.504753                0.695209   \n",
       "21                1.781834           9.186591                2.276835   \n",
       "22                0.107275           2.234201                0.108207   \n",
       "29                0.000000           0.000000                0.000000   \n",
       "34                0.000000           0.000000                0.000000   \n",
       "37                0.798143           9.502317                0.299428   \n",
       "40                0.000000           0.000000                0.000000   \n",
       "43                0.256809           4.055203                0.142172   \n",
       "46                0.107313           1.409642                0.044494   \n",
       "53                0.000000           0.000000                0.000000   \n",
       "64                0.073576           1.100571                0.038386   \n",
       "65                0.000000           0.000000                0.000000   \n",
       "68                0.803629           6.017040                0.224823   \n",
       "\n",
       "    PM18_pop_weighted  PM18_fire_pop_weighted  PM19_pop_weighted  \\\n",
       "14           4.422872                0.449839           4.451532   \n",
       "15           0.191825                0.000678           0.199168   \n",
       "16          13.320688                0.424245          12.994747   \n",
       "17           6.113435                0.251997           6.225786   \n",
       "18           3.446081                0.244198           3.670725   \n",
       "19           5.907734                1.523291           7.622987   \n",
       "20           7.321494                0.429262           7.462359   \n",
       "21           8.687212                1.731242           9.695331   \n",
       "22           1.941907                0.102161           2.108974   \n",
       "29           0.000000                0.000000           0.000000   \n",
       "34           0.000000                0.000000           0.000000   \n",
       "37           9.293457                0.466535           9.674983   \n",
       "40           0.000000                0.000000           0.000000   \n",
       "43           3.701716                0.154982           4.094517   \n",
       "46           1.213575                0.052570           1.448838   \n",
       "53           0.000000                0.000000           0.000000   \n",
       "64           0.997031                0.044462           1.122792   \n",
       "65           0.000000                0.000000           0.000000   \n",
       "68           5.567620                0.390105           5.864332   \n",
       "\n",
       "    PM19_fire_pop_weighted  PM14_19_pop_weighted  PM14_19_fire_pop_weighted  \n",
       "14                0.573835              4.377204                   0.475616  \n",
       "15                0.001215              0.181626                  -0.000181  \n",
       "16                0.467986             13.896309                   1.064365  \n",
       "17                0.296716              6.094951                   0.263895  \n",
       "18                0.516961              3.540151                   0.350898  \n",
       "19                3.043645              6.835521                   2.205434  \n",
       "20                0.765488              7.535198                   0.712861  \n",
       "21                2.903753              9.149911                   2.085202  \n",
       "22                0.188824              2.090939                   0.121297  \n",
       "29                0.000000              0.000000                   0.000000  \n",
       "34                0.000000              0.000000                   0.000000  \n",
       "37                0.719633              9.516468                   0.537545  \n",
       "40                0.000000              0.000000                   0.000000  \n",
       "43                0.182589              4.181423                   0.176264  \n",
       "46                0.073283              1.460768                   0.073151  \n",
       "53                0.000000              0.000000                   0.000000  \n",
       "64                0.052470              1.138846                   0.049390  \n",
       "65                0.000000              0.000000                   0.000000  \n",
       "68                0.555745              6.108613                   0.451020  \n",
       "\n",
       "[19 rows x 73 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### calculated weighted PM for total and fire only \n",
    "SA_countries['PM14_pop_weighted']=SA_countries['PM14_sum']/SA_countries['population']\n",
    "SA_countries['PM14_fire_pop_weighted']=SA_countries['PM14_sum_fireonly']/SA_countries['population']\n",
    "SA_countries['PM15_pop_weighted']=SA_countries['PM15_sum']/SA_countries['population']\n",
    "SA_countries['PM15_fire_pop_weighted']=SA_countries['PM15_sum_fireonly']/SA_countries['population']\n",
    "SA_countries['PM16_pop_weighted']=SA_countries['PM16_sum']/SA_countries['population']\n",
    "SA_countries['PM16_fire_pop_weighted']=SA_countries['PM16_sum_fireonly']/SA_countries['population']\n",
    "SA_countries['PM17_pop_weighted']=SA_countries['PM17_sum']/SA_countries['population']\n",
    "SA_countries['PM17_fire_pop_weighted']=SA_countries['PM17_sum_fireonly']/SA_countries['population']\n",
    "SA_countries['PM18_pop_weighted']=SA_countries['PM18_sum']/SA_countries['population']\n",
    "SA_countries['PM18_fire_pop_weighted']=SA_countries['PM18_sum_fireonly']/SA_countries['population']\n",
    "SA_countries['PM19_pop_weighted']=SA_countries['PM19_sum']/SA_countries['population']\n",
    "SA_countries['PM19_fire_pop_weighted']=SA_countries['PM19_sum_fireonly']/SA_countries['population']\n",
    "SA_countries['PM14_19_pop_weighted']=SA_countries['PM14_19_sum']/SA_countries['population']\n",
    "SA_countries['PM14_19_fire_pop_weighted']=SA_countries['PM14_19_sum_fireonly']/SA_countries['population']\n",
    "SA_countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9f37902",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "0771e150",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.1856888581496989"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking that vodonos sum mortality per country is similar to avg mortality from doing in dividual years calc\n",
    "#assuming that true average mortality for vodonos is the one calculated with individual years\n",
    "perc_error_meanmortavg=(np.sum(SA_countries['mean_mort_total'])-np.mean(vodonos_df['mean_nofires']))/np.mean(vodonos_df['mean_nofires'])*100\n",
    "perc_error_meanmortavg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "d384f658",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  super().__setitem__(key, value)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>COUNTRYAFF</th>\n",
       "      <th>AFF_ISO</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>SHAPE_Area</th>\n",
       "      <th>geometry</th>\n",
       "      <th>population</th>\n",
       "      <th>Ind_population</th>\n",
       "      <th>...</th>\n",
       "      <th>PM17_pop_weighted</th>\n",
       "      <th>PM17_fire_pop_weighted</th>\n",
       "      <th>PM18_pop_weighted</th>\n",
       "      <th>PM18_fire_pop_weighted</th>\n",
       "      <th>PM19_pop_weighted</th>\n",
       "      <th>PM19_fire_pop_weighted</th>\n",
       "      <th>PM14_19_pop_weighted</th>\n",
       "      <th>PM14_19_fire_pop_weighted</th>\n",
       "      <th>perc_smokemort_perpopSA</th>\n",
       "      <th>perc_smokemort_perpopInd</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>138.751348</td>\n",
       "      <td>278.308965</td>\n",
       "      <td>MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...</td>\n",
       "      <td>4.266171e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>4.689505</td>\n",
       "      <td>0.535850</td>\n",
       "      <td>4.422872</td>\n",
       "      <td>0.449839</td>\n",
       "      <td>4.451532</td>\n",
       "      <td>0.573835</td>\n",
       "      <td>4.377204</td>\n",
       "      <td>0.475616</td>\n",
       "      <td>0.002507</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Falkland Islands</td>\n",
       "      <td>FK</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>GB</td>\n",
       "      <td>19.082564</td>\n",
       "      <td>1.495383</td>\n",
       "      <td>MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...</td>\n",
       "      <td>1.277773e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.169758</td>\n",
       "      <td>-0.005960</td>\n",
       "      <td>0.191825</td>\n",
       "      <td>0.000678</td>\n",
       "      <td>0.199168</td>\n",
       "      <td>0.001215</td>\n",
       "      <td>0.181626</td>\n",
       "      <td>-0.000181</td>\n",
       "      <td>-0.000018</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>331.249881</td>\n",
       "      <td>77.692992</td>\n",
       "      <td>MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...</td>\n",
       "      <td>1.750102e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>16.558493</td>\n",
       "      <td>3.501844</td>\n",
       "      <td>13.320688</td>\n",
       "      <td>0.424245</td>\n",
       "      <td>12.994747</td>\n",
       "      <td>0.467986</td>\n",
       "      <td>13.896309</td>\n",
       "      <td>1.064365</td>\n",
       "      <td>0.00485</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>35.220537</td>\n",
       "      <td>20.753615</td>\n",
       "      <td>MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...</td>\n",
       "      <td>1.551300e+07</td>\n",
       "      <td>3.947610e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.293916</td>\n",
       "      <td>0.248648</td>\n",
       "      <td>6.113435</td>\n",
       "      <td>0.251997</td>\n",
       "      <td>6.225786</td>\n",
       "      <td>0.296716</td>\n",
       "      <td>6.094951</td>\n",
       "      <td>0.263895</td>\n",
       "      <td>0.000886</td>\n",
       "      <td>0.001668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>68.285384</td>\n",
       "      <td>106.500858</td>\n",
       "      <td>POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...</td>\n",
       "      <td>3.023913e+07</td>\n",
       "      <td>3.294102e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.570324</td>\n",
       "      <td>0.361549</td>\n",
       "      <td>3.446081</td>\n",
       "      <td>0.244198</td>\n",
       "      <td>3.670725</td>\n",
       "      <td>0.516961</td>\n",
       "      <td>3.540151</td>\n",
       "      <td>0.350898</td>\n",
       "      <td>0.001358</td>\n",
       "      <td>0.002479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>52.483687</td>\n",
       "      <td>92.190105</td>\n",
       "      <td>POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...</td>\n",
       "      <td>1.074196e+07</td>\n",
       "      <td>5.883494e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.714218</td>\n",
       "      <td>2.177770</td>\n",
       "      <td>5.907734</td>\n",
       "      <td>1.523291</td>\n",
       "      <td>7.622987</td>\n",
       "      <td>3.043645</td>\n",
       "      <td>6.835521</td>\n",
       "      <td>2.205434</td>\n",
       "      <td>0.00731</td>\n",
       "      <td>0.012016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>248.756715</td>\n",
       "      <td>707.050676</td>\n",
       "      <td>MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...</td>\n",
       "      <td>2.004947e+08</td>\n",
       "      <td>4.432759e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>7.504753</td>\n",
       "      <td>0.695209</td>\n",
       "      <td>7.321494</td>\n",
       "      <td>0.429262</td>\n",
       "      <td>7.462359</td>\n",
       "      <td>0.765488</td>\n",
       "      <td>7.535198</td>\n",
       "      <td>0.712861</td>\n",
       "      <td>0.003258</td>\n",
       "      <td>0.009092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>30.891884</td>\n",
       "      <td>35.208739</td>\n",
       "      <td>POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...</td>\n",
       "      <td>6.603160e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>9.186591</td>\n",
       "      <td>2.276835</td>\n",
       "      <td>8.687212</td>\n",
       "      <td>1.731242</td>\n",
       "      <td>9.695331</td>\n",
       "      <td>2.903753</td>\n",
       "      <td>9.149911</td>\n",
       "      <td>2.085202</td>\n",
       "      <td>0.006061</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>18.486971</td>\n",
       "      <td>17.126245</td>\n",
       "      <td>POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...</td>\n",
       "      <td>3.296384e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.234201</td>\n",
       "      <td>0.108207</td>\n",
       "      <td>1.941907</td>\n",
       "      <td>0.102161</td>\n",
       "      <td>2.108974</td>\n",
       "      <td>0.188824</td>\n",
       "      <td>2.090939</td>\n",
       "      <td>0.121297</td>\n",
       "      <td>0.001454</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>0.610340</td>\n",
       "      <td>0.016598</td>\n",
       "      <td>POLYGON ((-69.88224 12.41111, -69.94695 12.436...</td>\n",
       "      <td>8.618913e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>BQ</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>0.828287</td>\n",
       "      <td>0.026260</td>\n",
       "      <td>POLYGON ((-68.25111 12.02055, -68.25751 12.024...</td>\n",
       "      <td>1.489690e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000912</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>70.687532</td>\n",
       "      <td>92.580490</td>\n",
       "      <td>MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...</td>\n",
       "      <td>4.770436e+07</td>\n",
       "      <td>3.506338e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>9.502317</td>\n",
       "      <td>0.299428</td>\n",
       "      <td>9.293457</td>\n",
       "      <td>0.466535</td>\n",
       "      <td>9.674983</td>\n",
       "      <td>0.719633</td>\n",
       "      <td>9.516468</td>\n",
       "      <td>0.537545</td>\n",
       "      <td>0.002049</td>\n",
       "      <td>0.00372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>CW</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>1.160393</td>\n",
       "      <td>0.039249</td>\n",
       "      <td>POLYGON ((-68.74695 12.04027, -68.79889 12.040...</td>\n",
       "      <td>1.386115e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000833</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>GF</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>12.253085</td>\n",
       "      <td>6.807577</td>\n",
       "      <td>POLYGON ((-54.60378 2.32919, -54.49917 2.36500...</td>\n",
       "      <td>2.527212e+05</td>\n",
       "      <td>1.000160e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>4.055203</td>\n",
       "      <td>0.142172</td>\n",
       "      <td>3.701716</td>\n",
       "      <td>0.154982</td>\n",
       "      <td>4.094517</td>\n",
       "      <td>0.182589</td>\n",
       "      <td>4.181423</td>\n",
       "      <td>0.176264</td>\n",
       "      <td>0.001577</td>\n",
       "      <td>0.001637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>25.707599</td>\n",
       "      <td>17.175215</td>\n",
       "      <td>POLYGON ((-58.17262 6.81222, -58.15494 6.82819...</td>\n",
       "      <td>7.159472e+05</td>\n",
       "      <td>3.859543e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>1.409642</td>\n",
       "      <td>0.044494</td>\n",
       "      <td>1.213575</td>\n",
       "      <td>0.052570</td>\n",
       "      <td>1.448838</td>\n",
       "      <td>0.073283</td>\n",
       "      <td>1.460768</td>\n",
       "      <td>0.073151</td>\n",
       "      <td>0.001807</td>\n",
       "      <td>0.001634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>Panama</td>\n",
       "      <td>PA</td>\n",
       "      <td>25.300755</td>\n",
       "      <td>6.088301</td>\n",
       "      <td>MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...</td>\n",
       "      <td>5.092136e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.662246</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>65</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>17.126613</td>\n",
       "      <td>11.810421</td>\n",
       "      <td>POLYGON ((-55.12796 5.82217, -55.10445 5.83944...</td>\n",
       "      <td>5.114303e+05</td>\n",
       "      <td>4.811713e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>1.100571</td>\n",
       "      <td>0.038386</td>\n",
       "      <td>0.997031</td>\n",
       "      <td>0.044462</td>\n",
       "      <td>1.122792</td>\n",
       "      <td>0.052470</td>\n",
       "      <td>1.138846</td>\n",
       "      <td>0.049390</td>\n",
       "      <td>0.001385</td>\n",
       "      <td>0.000945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>66</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>4.384972</td>\n",
       "      <td>0.413753</td>\n",
       "      <td>MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...</td>\n",
       "      <td>1.196673e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001621</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>69</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>76.947448</td>\n",
       "      <td>74.628377</td>\n",
       "      <td>MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...</td>\n",
       "      <td>3.057106e+07</td>\n",
       "      <td>6.682775e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.017040</td>\n",
       "      <td>0.224823</td>\n",
       "      <td>5.567620</td>\n",
       "      <td>0.390105</td>\n",
       "      <td>5.864332</td>\n",
       "      <td>0.555745</td>\n",
       "      <td>6.108613</td>\n",
       "      <td>0.451020</td>\n",
       "      <td>0.00219</td>\n",
       "      <td>0.001992</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19 rows × 75 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    FID              COUNTRY ISO           COUNTRYAFF AFF_ISO  SHAPE_Leng  \\\n",
       "14   15            Argentina  AR            Argentina      AR  138.751348   \n",
       "15   16     Falkland Islands  FK       United Kingdom      GB   19.082564   \n",
       "16   17                Chile  CL                Chile      CL  331.249881   \n",
       "17   18              Ecuador  EC              Ecuador      EC   35.220537   \n",
       "18   19                 Peru  PE                 Peru      PE   68.285384   \n",
       "19   20              Bolivia  BO              Bolivia      BO   52.483687   \n",
       "20   21               Brazil  BR               Brazil      BR  248.756715   \n",
       "21   22             Paraguay  PY             Paraguay      PY   30.891884   \n",
       "22   23              Uruguay  UY              Uruguay      UY   18.486971   \n",
       "29   30                Aruba  AW                Aruba      AW    0.610340   \n",
       "34   35              Bonaire  BQ          Netherlands      NL    0.828287   \n",
       "37   38             Colombia  CO             Colombia      CO   70.687532   \n",
       "40   41              Curacao  CW          Netherlands      NL    1.160393   \n",
       "43   44        French Guiana  GF               France      FR   12.253085   \n",
       "46   47               Guyana  GY               Guyana      GY   25.707599   \n",
       "53   54               Panama  PA               Panama      PA   25.300755   \n",
       "64   65             Suriname  SR             Suriname      SR   17.126613   \n",
       "65   66  Trinidad and Tobago  TT  Trinidad and Tobago      TT    4.384972   \n",
       "68   69            Venezuela  VE            Venezuela      VE   76.947448   \n",
       "\n",
       "    SHAPE_Area                                           geometry  \\\n",
       "14  278.308965  MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...   \n",
       "15    1.495383  MULTIPOLYGON (((-59.34806 -52.34305, -59.37945...   \n",
       "16   77.692992  MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...   \n",
       "17   20.753615  MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...   \n",
       "18  106.500858  POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...   \n",
       "19   92.190105  POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...   \n",
       "20  707.050676  MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...   \n",
       "21   35.208739  POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...   \n",
       "22   17.126245  POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...   \n",
       "29    0.016598  POLYGON ((-69.88224 12.41111, -69.94695 12.436...   \n",
       "34    0.026260  POLYGON ((-68.25111 12.02055, -68.25751 12.024...   \n",
       "37   92.580490  MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...   \n",
       "40    0.039249  POLYGON ((-68.74695 12.04027, -68.79889 12.040...   \n",
       "43    6.807577  POLYGON ((-54.60378 2.32919, -54.49917 2.36500...   \n",
       "46   17.175215  POLYGON ((-58.17262 6.81222, -58.15494 6.82819...   \n",
       "53    6.088301  MULTIPOLYGON (((-80.02649 8.40154, -80.07055 8...   \n",
       "64   11.810421  POLYGON ((-55.12796 5.82217, -55.10445 5.83944...   \n",
       "65    0.413753  MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...   \n",
       "68   74.628377  MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...   \n",
       "\n",
       "      population  Ind_population  ...  PM17_pop_weighted  \\\n",
       "14  4.266171e+07    0.000000e+00  ...           4.689505   \n",
       "15  1.277773e+03    0.000000e+00  ...           0.169758   \n",
       "16  1.750102e+07    0.000000e+00  ...          16.558493   \n",
       "17  1.551300e+07    3.947610e+05  ...           6.293916   \n",
       "18  3.023913e+07    3.294102e+06  ...           3.570324   \n",
       "19  1.074196e+07    5.883494e+05  ...           6.714218   \n",
       "20  2.004947e+08    4.432759e+05  ...           7.504753   \n",
       "21  6.603160e+06    0.000000e+00  ...           9.186591   \n",
       "22  3.296384e+06    0.000000e+00  ...           2.234201   \n",
       "29  8.618913e+04    0.000000e+00  ...           0.000000   \n",
       "34  1.489690e+04    0.000000e+00  ...           0.000000   \n",
       "37  4.770436e+07    3.506338e+05  ...           9.502317   \n",
       "40  1.386115e+05    0.000000e+00  ...           0.000000   \n",
       "43  2.527212e+05    1.000160e+04  ...           4.055203   \n",
       "46  7.159472e+05    3.859543e+04  ...           1.409642   \n",
       "53  5.092136e+02    0.000000e+00  ...           0.000000   \n",
       "64  5.114303e+05    4.811713e+01  ...           1.100571   \n",
       "65  1.196673e+06    0.000000e+00  ...           0.000000   \n",
       "68  3.057106e+07    6.682775e+05  ...           6.017040   \n",
       "\n",
       "    PM17_fire_pop_weighted  PM18_pop_weighted  PM18_fire_pop_weighted  \\\n",
       "14                0.535850           4.422872                0.449839   \n",
       "15               -0.005960           0.191825                0.000678   \n",
       "16                3.501844          13.320688                0.424245   \n",
       "17                0.248648           6.113435                0.251997   \n",
       "18                0.361549           3.446081                0.244198   \n",
       "19                2.177770           5.907734                1.523291   \n",
       "20                0.695209           7.321494                0.429262   \n",
       "21                2.276835           8.687212                1.731242   \n",
       "22                0.108207           1.941907                0.102161   \n",
       "29                0.000000           0.000000                0.000000   \n",
       "34                0.000000           0.000000                0.000000   \n",
       "37                0.299428           9.293457                0.466535   \n",
       "40                0.000000           0.000000                0.000000   \n",
       "43                0.142172           3.701716                0.154982   \n",
       "46                0.044494           1.213575                0.052570   \n",
       "53                0.000000           0.000000                0.000000   \n",
       "64                0.038386           0.997031                0.044462   \n",
       "65                0.000000           0.000000                0.000000   \n",
       "68                0.224823           5.567620                0.390105   \n",
       "\n",
       "    PM19_pop_weighted  PM19_fire_pop_weighted  PM14_19_pop_weighted  \\\n",
       "14           4.451532                0.573835              4.377204   \n",
       "15           0.199168                0.001215              0.181626   \n",
       "16          12.994747                0.467986             13.896309   \n",
       "17           6.225786                0.296716              6.094951   \n",
       "18           3.670725                0.516961              3.540151   \n",
       "19           7.622987                3.043645              6.835521   \n",
       "20           7.462359                0.765488              7.535198   \n",
       "21           9.695331                2.903753              9.149911   \n",
       "22           2.108974                0.188824              2.090939   \n",
       "29           0.000000                0.000000              0.000000   \n",
       "34           0.000000                0.000000              0.000000   \n",
       "37           9.674983                0.719633              9.516468   \n",
       "40           0.000000                0.000000              0.000000   \n",
       "43           4.094517                0.182589              4.181423   \n",
       "46           1.448838                0.073283              1.460768   \n",
       "53           0.000000                0.000000              0.000000   \n",
       "64           1.122792                0.052470              1.138846   \n",
       "65           0.000000                0.000000              0.000000   \n",
       "68           5.864332                0.555745              6.108613   \n",
       "\n",
       "    PM14_19_fire_pop_weighted  perc_smokemort_perpopSA  \\\n",
       "14                   0.475616                 0.002507   \n",
       "15                  -0.000181                -0.000018   \n",
       "16                   1.064365                  0.00485   \n",
       "17                   0.263895                 0.000886   \n",
       "18                   0.350898                 0.001358   \n",
       "19                   2.205434                  0.00731   \n",
       "20                   0.712861                 0.003258   \n",
       "21                   2.085202                 0.006061   \n",
       "22                   0.121297                 0.001454   \n",
       "29                   0.000000                 0.000705   \n",
       "34                   0.000000                 0.000912   \n",
       "37                   0.537545                 0.002049   \n",
       "40                   0.000000                 0.000833   \n",
       "43                   0.176264                 0.001577   \n",
       "46                   0.073151                 0.001807   \n",
       "53                   0.000000                 3.662246   \n",
       "64                   0.049390                 0.001385   \n",
       "65                   0.000000                 0.001621   \n",
       "68                   0.451020                  0.00219   \n",
       "\n",
       "    perc_smokemort_perpopInd  \n",
       "14                       NaN  \n",
       "15                       NaN  \n",
       "16                       NaN  \n",
       "17                  0.001668  \n",
       "18                  0.002479  \n",
       "19                  0.012016  \n",
       "20                  0.009092  \n",
       "21                       NaN  \n",
       "22                       NaN  \n",
       "29                       NaN  \n",
       "34                       NaN  \n",
       "37                   0.00372  \n",
       "40                       NaN  \n",
       "43                  0.001637  \n",
       "46                  0.001634  \n",
       "53                       NaN  \n",
       "64                  0.000945  \n",
       "65                       NaN  \n",
       "68                  0.001992  \n",
       "\n",
       "[19 rows x 75 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SA_countries['perc_smokemort_perpopSA'] = (SA_countries['mean_mort_total']/SA_countries['population'])*100\n",
    "SA_countries['perc_smokemort_perpopInd'] = (SA_countries['mean_mort_TIs']/SA_countries['Ind_population'])*100\n",
    "SA_countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "4c77f48b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FID</th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>COUNTRYAFF</th>\n",
       "      <th>AFF_ISO</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>SHAPE_Area</th>\n",
       "      <th>geometry</th>\n",
       "      <th>population</th>\n",
       "      <th>Ind_population</th>\n",
       "      <th>...</th>\n",
       "      <th>PM17_pop_weighted</th>\n",
       "      <th>PM17_fire_pop_weighted</th>\n",
       "      <th>PM18_pop_weighted</th>\n",
       "      <th>PM18_fire_pop_weighted</th>\n",
       "      <th>PM19_pop_weighted</th>\n",
       "      <th>PM19_fire_pop_weighted</th>\n",
       "      <th>PM14_19_pop_weighted</th>\n",
       "      <th>PM14_19_fire_pop_weighted</th>\n",
       "      <th>perc_smokemort_perpopSA</th>\n",
       "      <th>perc_smokemort_perpopInd</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>138.751348</td>\n",
       "      <td>278.308965</td>\n",
       "      <td>MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...</td>\n",
       "      <td>4.266171e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>4.689505</td>\n",
       "      <td>0.535850</td>\n",
       "      <td>4.422872</td>\n",
       "      <td>0.449839</td>\n",
       "      <td>4.451532</td>\n",
       "      <td>0.573835</td>\n",
       "      <td>4.377204</td>\n",
       "      <td>0.475616</td>\n",
       "      <td>0.002507</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>331.249881</td>\n",
       "      <td>77.692992</td>\n",
       "      <td>MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...</td>\n",
       "      <td>1.750102e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>16.558493</td>\n",
       "      <td>3.501844</td>\n",
       "      <td>13.320688</td>\n",
       "      <td>0.424245</td>\n",
       "      <td>12.994747</td>\n",
       "      <td>0.467986</td>\n",
       "      <td>13.896309</td>\n",
       "      <td>1.064365</td>\n",
       "      <td>0.00485</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>35.220537</td>\n",
       "      <td>20.753615</td>\n",
       "      <td>MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...</td>\n",
       "      <td>1.551300e+07</td>\n",
       "      <td>3.947610e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.293916</td>\n",
       "      <td>0.248648</td>\n",
       "      <td>6.113435</td>\n",
       "      <td>0.251997</td>\n",
       "      <td>6.225786</td>\n",
       "      <td>0.296716</td>\n",
       "      <td>6.094951</td>\n",
       "      <td>0.263895</td>\n",
       "      <td>0.000886</td>\n",
       "      <td>0.001668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>68.285384</td>\n",
       "      <td>106.500858</td>\n",
       "      <td>POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...</td>\n",
       "      <td>3.023913e+07</td>\n",
       "      <td>3.294102e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.570324</td>\n",
       "      <td>0.361549</td>\n",
       "      <td>3.446081</td>\n",
       "      <td>0.244198</td>\n",
       "      <td>3.670725</td>\n",
       "      <td>0.516961</td>\n",
       "      <td>3.540151</td>\n",
       "      <td>0.350898</td>\n",
       "      <td>0.001358</td>\n",
       "      <td>0.002479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>52.483687</td>\n",
       "      <td>92.190105</td>\n",
       "      <td>POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...</td>\n",
       "      <td>1.074196e+07</td>\n",
       "      <td>5.883494e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.714218</td>\n",
       "      <td>2.177770</td>\n",
       "      <td>5.907734</td>\n",
       "      <td>1.523291</td>\n",
       "      <td>7.622987</td>\n",
       "      <td>3.043645</td>\n",
       "      <td>6.835521</td>\n",
       "      <td>2.205434</td>\n",
       "      <td>0.00731</td>\n",
       "      <td>0.012016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>248.756715</td>\n",
       "      <td>707.050676</td>\n",
       "      <td>MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...</td>\n",
       "      <td>2.004947e+08</td>\n",
       "      <td>4.432759e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>7.504753</td>\n",
       "      <td>0.695209</td>\n",
       "      <td>7.321494</td>\n",
       "      <td>0.429262</td>\n",
       "      <td>7.462359</td>\n",
       "      <td>0.765488</td>\n",
       "      <td>7.535198</td>\n",
       "      <td>0.712861</td>\n",
       "      <td>0.003258</td>\n",
       "      <td>0.009092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>Paraguay</td>\n",
       "      <td>PY</td>\n",
       "      <td>30.891884</td>\n",
       "      <td>35.208739</td>\n",
       "      <td>POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...</td>\n",
       "      <td>6.603160e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>9.186591</td>\n",
       "      <td>2.276835</td>\n",
       "      <td>8.687212</td>\n",
       "      <td>1.731242</td>\n",
       "      <td>9.695331</td>\n",
       "      <td>2.903753</td>\n",
       "      <td>9.149911</td>\n",
       "      <td>2.085202</td>\n",
       "      <td>0.006061</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>UY</td>\n",
       "      <td>18.486971</td>\n",
       "      <td>17.126245</td>\n",
       "      <td>POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...</td>\n",
       "      <td>3.296384e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>2.234201</td>\n",
       "      <td>0.108207</td>\n",
       "      <td>1.941907</td>\n",
       "      <td>0.102161</td>\n",
       "      <td>2.108974</td>\n",
       "      <td>0.188824</td>\n",
       "      <td>2.090939</td>\n",
       "      <td>0.121297</td>\n",
       "      <td>0.001454</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>Aruba</td>\n",
       "      <td>AW</td>\n",
       "      <td>0.610340</td>\n",
       "      <td>0.016598</td>\n",
       "      <td>POLYGON ((-69.88224 12.41111, -69.94695 12.436...</td>\n",
       "      <td>8.618913e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000705</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>Bonaire</td>\n",
       "      <td>BQ</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>0.828287</td>\n",
       "      <td>0.026260</td>\n",
       "      <td>POLYGON ((-68.25111 12.02055, -68.25751 12.024...</td>\n",
       "      <td>1.489690e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000912</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>70.687532</td>\n",
       "      <td>92.580490</td>\n",
       "      <td>MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...</td>\n",
       "      <td>4.770436e+07</td>\n",
       "      <td>3.506338e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>9.502317</td>\n",
       "      <td>0.299428</td>\n",
       "      <td>9.293457</td>\n",
       "      <td>0.466535</td>\n",
       "      <td>9.674983</td>\n",
       "      <td>0.719633</td>\n",
       "      <td>9.516468</td>\n",
       "      <td>0.537545</td>\n",
       "      <td>0.002049</td>\n",
       "      <td>0.00372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>Curacao</td>\n",
       "      <td>CW</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NL</td>\n",
       "      <td>1.160393</td>\n",
       "      <td>0.039249</td>\n",
       "      <td>POLYGON ((-68.74695 12.04027, -68.79889 12.040...</td>\n",
       "      <td>1.386115e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000833</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>French Guiana</td>\n",
       "      <td>GF</td>\n",
       "      <td>France</td>\n",
       "      <td>FR</td>\n",
       "      <td>12.253085</td>\n",
       "      <td>6.807577</td>\n",
       "      <td>POLYGON ((-54.60378 2.32919, -54.49917 2.36500...</td>\n",
       "      <td>2.527212e+05</td>\n",
       "      <td>1.000160e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>4.055203</td>\n",
       "      <td>0.142172</td>\n",
       "      <td>3.701716</td>\n",
       "      <td>0.154982</td>\n",
       "      <td>4.094517</td>\n",
       "      <td>0.182589</td>\n",
       "      <td>4.181423</td>\n",
       "      <td>0.176264</td>\n",
       "      <td>0.001577</td>\n",
       "      <td>0.001637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>Guyana</td>\n",
       "      <td>GY</td>\n",
       "      <td>25.707599</td>\n",
       "      <td>17.175215</td>\n",
       "      <td>POLYGON ((-58.17262 6.81222, -58.15494 6.82819...</td>\n",
       "      <td>7.159472e+05</td>\n",
       "      <td>3.859543e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>1.409642</td>\n",
       "      <td>0.044494</td>\n",
       "      <td>1.213575</td>\n",
       "      <td>0.052570</td>\n",
       "      <td>1.448838</td>\n",
       "      <td>0.073283</td>\n",
       "      <td>1.460768</td>\n",
       "      <td>0.073151</td>\n",
       "      <td>0.001807</td>\n",
       "      <td>0.001634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>65</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>SR</td>\n",
       "      <td>17.126613</td>\n",
       "      <td>11.810421</td>\n",
       "      <td>POLYGON ((-55.12796 5.82217, -55.10445 5.83944...</td>\n",
       "      <td>5.114303e+05</td>\n",
       "      <td>4.811713e+01</td>\n",
       "      <td>...</td>\n",
       "      <td>1.100571</td>\n",
       "      <td>0.038386</td>\n",
       "      <td>0.997031</td>\n",
       "      <td>0.044462</td>\n",
       "      <td>1.122792</td>\n",
       "      <td>0.052470</td>\n",
       "      <td>1.138846</td>\n",
       "      <td>0.049390</td>\n",
       "      <td>0.001385</td>\n",
       "      <td>0.000945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>66</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>Trinidad and Tobago</td>\n",
       "      <td>TT</td>\n",
       "      <td>4.384972</td>\n",
       "      <td>0.413753</td>\n",
       "      <td>MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...</td>\n",
       "      <td>1.196673e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001621</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>69</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>VE</td>\n",
       "      <td>76.947448</td>\n",
       "      <td>74.628377</td>\n",
       "      <td>MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...</td>\n",
       "      <td>3.057106e+07</td>\n",
       "      <td>6.682775e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>6.017040</td>\n",
       "      <td>0.224823</td>\n",
       "      <td>5.567620</td>\n",
       "      <td>0.390105</td>\n",
       "      <td>5.864332</td>\n",
       "      <td>0.555745</td>\n",
       "      <td>6.108613</td>\n",
       "      <td>0.451020</td>\n",
       "      <td>0.00219</td>\n",
       "      <td>0.001992</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>17 rows × 75 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    FID              COUNTRY ISO           COUNTRYAFF AFF_ISO  SHAPE_Leng  \\\n",
       "14   15            Argentina  AR            Argentina      AR  138.751348   \n",
       "16   17                Chile  CL                Chile      CL  331.249881   \n",
       "17   18              Ecuador  EC              Ecuador      EC   35.220537   \n",
       "18   19                 Peru  PE                 Peru      PE   68.285384   \n",
       "19   20              Bolivia  BO              Bolivia      BO   52.483687   \n",
       "20   21               Brazil  BR               Brazil      BR  248.756715   \n",
       "21   22             Paraguay  PY             Paraguay      PY   30.891884   \n",
       "22   23              Uruguay  UY              Uruguay      UY   18.486971   \n",
       "29   30                Aruba  AW                Aruba      AW    0.610340   \n",
       "34   35              Bonaire  BQ          Netherlands      NL    0.828287   \n",
       "37   38             Colombia  CO             Colombia      CO   70.687532   \n",
       "40   41              Curacao  CW          Netherlands      NL    1.160393   \n",
       "43   44        French Guiana  GF               France      FR   12.253085   \n",
       "46   47               Guyana  GY               Guyana      GY   25.707599   \n",
       "64   65             Suriname  SR             Suriname      SR   17.126613   \n",
       "65   66  Trinidad and Tobago  TT  Trinidad and Tobago      TT    4.384972   \n",
       "68   69            Venezuela  VE            Venezuela      VE   76.947448   \n",
       "\n",
       "    SHAPE_Area                                           geometry  \\\n",
       "14  278.308965  MULTIPOLYGON (((-71.85916 -41.01128, -71.83806...   \n",
       "16   77.692992  MULTIPOLYGON (((-73.04210 -43.73384, -73.04640...   \n",
       "17   20.753615  MULTIPOLYGON (((-79.45167 -4.76639, -79.51528 ...   \n",
       "18  106.500858  POLYGON ((-69.49973 -17.50528, -69.63001 -17.6...   \n",
       "19   92.190105  POLYGON ((-62.19884 -20.47139, -62.26945 -20.5...   \n",
       "20  707.050676  MULTIPOLYGON (((-44.69501 -1.81778, -44.64001 ...   \n",
       "21   35.208739  POLYGON ((-57.67267 -25.29430, -57.70639 -25.2...   \n",
       "22   17.126245  POLYGON ((-58.38889 -33.42250, -58.41591 -33.4...   \n",
       "29    0.016598  POLYGON ((-69.88224 12.41111, -69.94695 12.436...   \n",
       "34    0.026260  POLYGON ((-68.25111 12.02055, -68.25751 12.024...   \n",
       "37   92.580490  MULTIPOLYGON (((-74.86081 11.12549, -74.83459 ...   \n",
       "40    0.039249  POLYGON ((-68.74695 12.04027, -68.79889 12.040...   \n",
       "43    6.807577  POLYGON ((-54.60378 2.32919, -54.49917 2.36500...   \n",
       "46   17.175215  POLYGON ((-58.17262 6.81222, -58.15494 6.82819...   \n",
       "64   11.810421  POLYGON ((-55.12796 5.82217, -55.10445 5.83944...   \n",
       "65    0.413753  MULTIPOLYGON (((-61.07945 10.82416, -61.07556 ...   \n",
       "68   74.628377  MULTIPOLYGON (((-66.31029 10.62602, -66.28309 ...   \n",
       "\n",
       "      population  Ind_population  ...  PM17_pop_weighted  \\\n",
       "14  4.266171e+07    0.000000e+00  ...           4.689505   \n",
       "16  1.750102e+07    0.000000e+00  ...          16.558493   \n",
       "17  1.551300e+07    3.947610e+05  ...           6.293916   \n",
       "18  3.023913e+07    3.294102e+06  ...           3.570324   \n",
       "19  1.074196e+07    5.883494e+05  ...           6.714218   \n",
       "20  2.004947e+08    4.432759e+05  ...           7.504753   \n",
       "21  6.603160e+06    0.000000e+00  ...           9.186591   \n",
       "22  3.296384e+06    0.000000e+00  ...           2.234201   \n",
       "29  8.618913e+04    0.000000e+00  ...           0.000000   \n",
       "34  1.489690e+04    0.000000e+00  ...           0.000000   \n",
       "37  4.770436e+07    3.506338e+05  ...           9.502317   \n",
       "40  1.386115e+05    0.000000e+00  ...           0.000000   \n",
       "43  2.527212e+05    1.000160e+04  ...           4.055203   \n",
       "46  7.159472e+05    3.859543e+04  ...           1.409642   \n",
       "64  5.114303e+05    4.811713e+01  ...           1.100571   \n",
       "65  1.196673e+06    0.000000e+00  ...           0.000000   \n",
       "68  3.057106e+07    6.682775e+05  ...           6.017040   \n",
       "\n",
       "    PM17_fire_pop_weighted  PM18_pop_weighted  PM18_fire_pop_weighted  \\\n",
       "14                0.535850           4.422872                0.449839   \n",
       "16                3.501844          13.320688                0.424245   \n",
       "17                0.248648           6.113435                0.251997   \n",
       "18                0.361549           3.446081                0.244198   \n",
       "19                2.177770           5.907734                1.523291   \n",
       "20                0.695209           7.321494                0.429262   \n",
       "21                2.276835           8.687212                1.731242   \n",
       "22                0.108207           1.941907                0.102161   \n",
       "29                0.000000           0.000000                0.000000   \n",
       "34                0.000000           0.000000                0.000000   \n",
       "37                0.299428           9.293457                0.466535   \n",
       "40                0.000000           0.000000                0.000000   \n",
       "43                0.142172           3.701716                0.154982   \n",
       "46                0.044494           1.213575                0.052570   \n",
       "64                0.038386           0.997031                0.044462   \n",
       "65                0.000000           0.000000                0.000000   \n",
       "68                0.224823           5.567620                0.390105   \n",
       "\n",
       "    PM19_pop_weighted  PM19_fire_pop_weighted  PM14_19_pop_weighted  \\\n",
       "14           4.451532                0.573835              4.377204   \n",
       "16          12.994747                0.467986             13.896309   \n",
       "17           6.225786                0.296716              6.094951   \n",
       "18           3.670725                0.516961              3.540151   \n",
       "19           7.622987                3.043645              6.835521   \n",
       "20           7.462359                0.765488              7.535198   \n",
       "21           9.695331                2.903753              9.149911   \n",
       "22           2.108974                0.188824              2.090939   \n",
       "29           0.000000                0.000000              0.000000   \n",
       "34           0.000000                0.000000              0.000000   \n",
       "37           9.674983                0.719633              9.516468   \n",
       "40           0.000000                0.000000              0.000000   \n",
       "43           4.094517                0.182589              4.181423   \n",
       "46           1.448838                0.073283              1.460768   \n",
       "64           1.122792                0.052470              1.138846   \n",
       "65           0.000000                0.000000              0.000000   \n",
       "68           5.864332                0.555745              6.108613   \n",
       "\n",
       "    PM14_19_fire_pop_weighted  perc_smokemort_perpopSA  \\\n",
       "14                   0.475616                 0.002507   \n",
       "16                   1.064365                  0.00485   \n",
       "17                   0.263895                 0.000886   \n",
       "18                   0.350898                 0.001358   \n",
       "19                   2.205434                  0.00731   \n",
       "20                   0.712861                 0.003258   \n",
       "21                   2.085202                 0.006061   \n",
       "22                   0.121297                 0.001454   \n",
       "29                   0.000000                 0.000705   \n",
       "34                   0.000000                 0.000912   \n",
       "37                   0.537545                 0.002049   \n",
       "40                   0.000000                 0.000833   \n",
       "43                   0.176264                 0.001577   \n",
       "46                   0.073151                 0.001807   \n",
       "64                   0.049390                 0.001385   \n",
       "65                   0.000000                 0.001621   \n",
       "68                   0.451020                  0.00219   \n",
       "\n",
       "    perc_smokemort_perpopInd  \n",
       "14                       NaN  \n",
       "16                       NaN  \n",
       "17                  0.001668  \n",
       "18                  0.002479  \n",
       "19                  0.012016  \n",
       "20                  0.009092  \n",
       "21                       NaN  \n",
       "22                       NaN  \n",
       "29                       NaN  \n",
       "34                       NaN  \n",
       "37                   0.00372  \n",
       "40                       NaN  \n",
       "43                  0.001637  \n",
       "46                  0.001634  \n",
       "64                  0.000945  \n",
       "65                       NaN  \n",
       "68                  0.001992  \n",
       "\n",
       "[17 rows x 75 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#population in Panama and Falkland Islands is off by many magnitudes so, we delete it for the following calculations\n",
    "SA_countries= SA_countries[SA_countries['COUNTRY'] != 'Panama']\n",
    "SA_countries= SA_countries[SA_countries['COUNTRY'] != 'Falkland Islands']\n",
    "SA_countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "e8270f9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['FID', 'COUNTRY', 'ISO', 'COUNTRYAFF', 'AFF_ISO', 'SHAPE_Leng',\n",
       "       'SHAPE_Area', 'geometry', 'population', 'Ind_population',\n",
       "       'PM14_19_sum_fireonly', 'PM14_19_sum', 'PM14_19_sum_fireonly_ind',\n",
       "       'PM14_19_sum_ind', 'PM14_sum_fireonly', 'PM14_sum', 'PM15_sum_fireonly',\n",
       "       'PM15_sum', 'PM16_sum_fireonly', 'PM16_sum', 'PM17_sum_fireonly',\n",
       "       'PM17_sum', 'PM18_sum_fireonly', 'PM18_sum', 'PM19_sum_fireonly',\n",
       "       'PM19_sum', 'PM14_sum_fireonly_ind', 'PM14_sum_ind',\n",
       "       'PM15_sum_fireonly_ind', 'PM15_sum_ind', 'PM16_sum_fireonly_ind',\n",
       "       'PM16_sum_ind', 'PM17_sum_fireonly_ind', 'PM17_sum_ind',\n",
       "       'PM18_sum_fireonly_ind', 'PM18_sum_ind', 'PM19_sum_fireonly_ind',\n",
       "       'PM19_sum_ind', 'country', 'mean_mort_total', 'perc_2.5', 'perc_97.5',\n",
       "       'mean_mort_TIs', 'perc_2.5_TIs', 'perc_97.5_TIs',\n",
       "       'PM14_pop_weighted_ind', 'PM14_fire_pop_weighted_ind',\n",
       "       'PM15_pop_weighted_ind', 'PM15_fire_pop_weighted_ind',\n",
       "       'PM16_pop_weighted_ind', 'PM16_fire_pop_weighted_ind',\n",
       "       'PM17_pop_weighted_ind', 'PM17_fire_pop_weighted_ind',\n",
       "       'PM18_pop_weighted_ind', 'PM18_fire_pop_weighted_ind',\n",
       "       'PM19_pop_weighted_ind', 'PM19_fire_pop_weighted_ind',\n",
       "       'PM14_19_pop_weighted_ind', 'PM14_19_fire_pop_weighted_ind',\n",
       "       'PM14_pop_weighted', 'PM14_fire_pop_weighted', 'PM15_pop_weighted',\n",
       "       'PM15_fire_pop_weighted', 'PM16_pop_weighted', 'PM16_fire_pop_weighted',\n",
       "       'PM17_pop_weighted', 'PM17_fire_pop_weighted', 'PM18_pop_weighted',\n",
       "       'PM18_fire_pop_weighted', 'PM19_pop_weighted', 'PM19_fire_pop_weighted',\n",
       "       'PM14_19_pop_weighted', 'PM14_19_fire_pop_weighted',\n",
       "       'perc_smokemort_perpopSA', 'perc_smokemort_perpopInd'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SA_countries.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "838759d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>population</th>\n",
       "      <th>Ind_population</th>\n",
       "      <th>PM14_19_sum_fireonly</th>\n",
       "      <th>PM14_19_sum</th>\n",
       "      <th>PM14_19_sum_fireonly_ind</th>\n",
       "      <th>PM14_19_sum_ind</th>\n",
       "      <th>PM14_sum_fireonly</th>\n",
       "      <th>PM14_sum</th>\n",
       "      <th>...</th>\n",
       "      <th>PM17_pop_weighted</th>\n",
       "      <th>PM17_fire_pop_weighted</th>\n",
       "      <th>PM18_pop_weighted</th>\n",
       "      <th>PM18_fire_pop_weighted</th>\n",
       "      <th>PM19_pop_weighted</th>\n",
       "      <th>PM19_fire_pop_weighted</th>\n",
       "      <th>PM14_19_pop_weighted</th>\n",
       "      <th>PM14_19_fire_pop_weighted</th>\n",
       "      <th>perc_smokemort_perpopSA</th>\n",
       "      <th>perc_smokemort_perpopInd</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Argentina</td>\n",
       "      <td>AR</td>\n",
       "      <td>42661712.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.029059e+07</td>\n",
       "      <td>1.867390e+08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.717512e+07</td>\n",
       "      <td>1.812006e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>4.689505</td>\n",
       "      <td>0.535850</td>\n",
       "      <td>4.422872</td>\n",
       "      <td>0.449839</td>\n",
       "      <td>4.451532</td>\n",
       "      <td>0.573835</td>\n",
       "      <td>4.377204</td>\n",
       "      <td>0.475616</td>\n",
       "      <td>0.002507</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Chile</td>\n",
       "      <td>CL</td>\n",
       "      <td>17501020.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.862748e+07</td>\n",
       "      <td>2.431996e+08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.248945e+07</td>\n",
       "      <td>2.394809e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>16.558493</td>\n",
       "      <td>3.501844</td>\n",
       "      <td>13.320688</td>\n",
       "      <td>0.424245</td>\n",
       "      <td>12.994747</td>\n",
       "      <td>0.467986</td>\n",
       "      <td>13.896309</td>\n",
       "      <td>1.064365</td>\n",
       "      <td>0.00485</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>15513005.0</td>\n",
       "      <td>3.947610e+05</td>\n",
       "      <td>4.093800e+06</td>\n",
       "      <td>9.455100e+07</td>\n",
       "      <td>2.302006e+05</td>\n",
       "      <td>2.507683e+06</td>\n",
       "      <td>2.914370e+06</td>\n",
       "      <td>8.782771e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>6.293916</td>\n",
       "      <td>0.248648</td>\n",
       "      <td>6.113435</td>\n",
       "      <td>0.251997</td>\n",
       "      <td>6.225786</td>\n",
       "      <td>0.296716</td>\n",
       "      <td>6.094951</td>\n",
       "      <td>0.263895</td>\n",
       "      <td>0.000886</td>\n",
       "      <td>0.001668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>30239126.0</td>\n",
       "      <td>3.294102e+06</td>\n",
       "      <td>1.061085e+07</td>\n",
       "      <td>1.070511e+08</td>\n",
       "      <td>2.649575e+06</td>\n",
       "      <td>2.347263e+07</td>\n",
       "      <td>5.700528e+06</td>\n",
       "      <td>9.949596e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>3.570324</td>\n",
       "      <td>0.361549</td>\n",
       "      <td>3.446081</td>\n",
       "      <td>0.244198</td>\n",
       "      <td>3.670725</td>\n",
       "      <td>0.516961</td>\n",
       "      <td>3.540151</td>\n",
       "      <td>0.350898</td>\n",
       "      <td>0.001358</td>\n",
       "      <td>0.002479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>10741955.0</td>\n",
       "      <td>5.883494e+05</td>\n",
       "      <td>2.369067e+07</td>\n",
       "      <td>7.342686e+07</td>\n",
       "      <td>2.134577e+06</td>\n",
       "      <td>4.977898e+06</td>\n",
       "      <td>1.491986e+07</td>\n",
       "      <td>6.349611e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>6.714218</td>\n",
       "      <td>2.177770</td>\n",
       "      <td>5.907734</td>\n",
       "      <td>1.523291</td>\n",
       "      <td>7.622987</td>\n",
       "      <td>3.043645</td>\n",
       "      <td>6.835521</td>\n",
       "      <td>2.205434</td>\n",
       "      <td>0.00731</td>\n",
       "      <td>0.012016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 69 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      COUNTRY ISO  population  Ind_population  PM14_19_sum_fireonly  \\\n",
       "14  Argentina  AR  42661712.0    0.000000e+00          2.029059e+07   \n",
       "16      Chile  CL  17501020.0    0.000000e+00          1.862748e+07   \n",
       "17    Ecuador  EC  15513005.0    3.947610e+05          4.093800e+06   \n",
       "18       Peru  PE  30239126.0    3.294102e+06          1.061085e+07   \n",
       "19    Bolivia  BO  10741955.0    5.883494e+05          2.369067e+07   \n",
       "\n",
       "     PM14_19_sum  PM14_19_sum_fireonly_ind  PM14_19_sum_ind  \\\n",
       "14  1.867390e+08              0.000000e+00     0.000000e+00   \n",
       "16  2.431996e+08              0.000000e+00     0.000000e+00   \n",
       "17  9.455100e+07              2.302006e+05     2.507683e+06   \n",
       "18  1.070511e+08              2.649575e+06     2.347263e+07   \n",
       "19  7.342686e+07              2.134577e+06     4.977898e+06   \n",
       "\n",
       "    PM14_sum_fireonly      PM14_sum  ...  PM17_pop_weighted  \\\n",
       "14       1.717512e+07  1.812006e+08  ...           4.689505   \n",
       "16       1.248945e+07  2.394809e+08  ...          16.558493   \n",
       "17       2.914370e+06  8.782771e+07  ...           6.293916   \n",
       "18       5.700528e+06  9.949596e+07  ...           3.570324   \n",
       "19       1.491986e+07  6.349611e+07  ...           6.714218   \n",
       "\n",
       "    PM17_fire_pop_weighted  PM18_pop_weighted  PM18_fire_pop_weighted  \\\n",
       "14                0.535850           4.422872                0.449839   \n",
       "16                3.501844          13.320688                0.424245   \n",
       "17                0.248648           6.113435                0.251997   \n",
       "18                0.361549           3.446081                0.244198   \n",
       "19                2.177770           5.907734                1.523291   \n",
       "\n",
       "    PM19_pop_weighted  PM19_fire_pop_weighted  PM14_19_pop_weighted  \\\n",
       "14           4.451532                0.573835              4.377204   \n",
       "16          12.994747                0.467986             13.896309   \n",
       "17           6.225786                0.296716              6.094951   \n",
       "18           3.670725                0.516961              3.540151   \n",
       "19           7.622987                3.043645              6.835521   \n",
       "\n",
       "    PM14_19_fire_pop_weighted  perc_smokemort_perpopSA  \\\n",
       "14                   0.475616                 0.002507   \n",
       "16                   1.064365                  0.00485   \n",
       "17                   0.263895                 0.000886   \n",
       "18                   0.350898                 0.001358   \n",
       "19                   2.205434                  0.00731   \n",
       "\n",
       "    perc_smokemort_perpopInd  \n",
       "14                       NaN  \n",
       "16                       NaN  \n",
       "17                  0.001668  \n",
       "18                  0.002479  \n",
       "19                  0.012016  \n",
       "\n",
       "[5 rows x 69 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#removing columns nd making vodonos table\n",
    "vodonos_country_table = SA_countries.copy()\n",
    "vodonos_country_table.drop(['FID', 'AFF_ISO','COUNTRYAFF','SHAPE_Leng','SHAPE_Area','geometry'], axis=1, inplace=True)\n",
    "vodonos_country_table.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "0b575ede",
   "metadata": {},
   "outputs": [],
   "source": [
    "vodonos_country_table.to_csv('../PP2_figs/Vodonos_countrylevel_2014_2019mean.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "b6b46689",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>COUNTRY</th>\n",
       "      <th>ISO</th>\n",
       "      <th>population</th>\n",
       "      <th>Ind_population</th>\n",
       "      <th>PM14_19_sum_fireonly</th>\n",
       "      <th>PM14_19_sum</th>\n",
       "      <th>PM14_19_sum_fireonly_ind</th>\n",
       "      <th>PM14_19_sum_ind</th>\n",
       "      <th>PM14_sum_fireonly</th>\n",
       "      <th>...</th>\n",
       "      <th>PM17_pop_weighted</th>\n",
       "      <th>PM17_fire_pop_weighted</th>\n",
       "      <th>PM18_pop_weighted</th>\n",
       "      <th>PM18_fire_pop_weighted</th>\n",
       "      <th>PM19_pop_weighted</th>\n",
       "      <th>PM19_fire_pop_weighted</th>\n",
       "      <th>PM14_19_pop_weighted</th>\n",
       "      <th>PM14_19_fire_pop_weighted</th>\n",
       "      <th>perc_smokemort_perpopSA</th>\n",
       "      <th>perc_smokemort_perpopInd</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17</td>\n",
       "      <td>Ecuador</td>\n",
       "      <td>EC</td>\n",
       "      <td>15513005.0</td>\n",
       "      <td>3.947610e+05</td>\n",
       "      <td>4.093800e+06</td>\n",
       "      <td>9.455100e+07</td>\n",
       "      <td>2.302006e+05</td>\n",
       "      <td>2.507683e+06</td>\n",
       "      <td>2.914370e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>6.293916</td>\n",
       "      <td>0.248648</td>\n",
       "      <td>6.113435</td>\n",
       "      <td>0.251997</td>\n",
       "      <td>6.225786</td>\n",
       "      <td>0.296716</td>\n",
       "      <td>6.094951</td>\n",
       "      <td>0.263895</td>\n",
       "      <td>0.000886</td>\n",
       "      <td>0.001668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18</td>\n",
       "      <td>Peru</td>\n",
       "      <td>PE</td>\n",
       "      <td>30239126.0</td>\n",
       "      <td>3.294102e+06</td>\n",
       "      <td>1.061085e+07</td>\n",
       "      <td>1.070511e+08</td>\n",
       "      <td>2.649575e+06</td>\n",
       "      <td>2.347263e+07</td>\n",
       "      <td>5.700528e+06</td>\n",
       "      <td>...</td>\n",
       "      <td>3.570324</td>\n",
       "      <td>0.361549</td>\n",
       "      <td>3.446081</td>\n",
       "      <td>0.244198</td>\n",
       "      <td>3.670725</td>\n",
       "      <td>0.516961</td>\n",
       "      <td>3.540151</td>\n",
       "      <td>0.350898</td>\n",
       "      <td>0.001358</td>\n",
       "      <td>0.002479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>BO</td>\n",
       "      <td>10741955.0</td>\n",
       "      <td>5.883494e+05</td>\n",
       "      <td>2.369067e+07</td>\n",
       "      <td>7.342686e+07</td>\n",
       "      <td>2.134577e+06</td>\n",
       "      <td>4.977898e+06</td>\n",
       "      <td>1.491986e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>6.714218</td>\n",
       "      <td>2.177770</td>\n",
       "      <td>5.907734</td>\n",
       "      <td>1.523291</td>\n",
       "      <td>7.622987</td>\n",
       "      <td>3.043645</td>\n",
       "      <td>6.835521</td>\n",
       "      <td>2.205434</td>\n",
       "      <td>0.007310</td>\n",
       "      <td>0.012016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>BR</td>\n",
       "      <td>200494704.0</td>\n",
       "      <td>4.432759e+05</td>\n",
       "      <td>1.429249e+08</td>\n",
       "      <td>1.510767e+09</td>\n",
       "      <td>1.078423e+06</td>\n",
       "      <td>3.657683e+06</td>\n",
       "      <td>1.465774e+08</td>\n",
       "      <td>...</td>\n",
       "      <td>7.504753</td>\n",
       "      <td>0.695209</td>\n",
       "      <td>7.321494</td>\n",
       "      <td>0.429262</td>\n",
       "      <td>7.462359</td>\n",
       "      <td>0.765488</td>\n",
       "      <td>7.535198</td>\n",
       "      <td>0.712861</td>\n",
       "      <td>0.003258</td>\n",
       "      <td>0.009092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>37</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>CO</td>\n",
       "      <td>47704360.0</td>\n",
       "      <td>3.506338e+05</td>\n",
       "      <td>2.564325e+07</td>\n",
       "      <td>4.539770e+08</td>\n",
       "      <td>3.922586e+05</td>\n",
       "      <td>2.608940e+06</td>\n",
       "      <td>2.485263e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>9.502317</td>\n",
       "      <td>0.299428</td>\n",
       "      <td>9.293457</td>\n",
       "      <td>0.466535</td>\n",
       "      <td>9.674983</td>\n",
       "      <td>0.719633</td>\n",
       "      <td>9.516468</td>\n",
       "      <td>0.537545</td>\n",
       "      <td>0.002049</td>\n",
       "      <td>0.003720</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 70 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0   COUNTRY ISO   population  Ind_population  \\\n",
       "2           17   Ecuador  EC   15513005.0    3.947610e+05   \n",
       "3           18      Peru  PE   30239126.0    3.294102e+06   \n",
       "4           19   Bolivia  BO   10741955.0    5.883494e+05   \n",
       "5           20    Brazil  BR  200494704.0    4.432759e+05   \n",
       "10          37  Colombia  CO   47704360.0    3.506338e+05   \n",
       "\n",
       "    PM14_19_sum_fireonly   PM14_19_sum  PM14_19_sum_fireonly_ind  \\\n",
       "2           4.093800e+06  9.455100e+07              2.302006e+05   \n",
       "3           1.061085e+07  1.070511e+08              2.649575e+06   \n",
       "4           2.369067e+07  7.342686e+07              2.134577e+06   \n",
       "5           1.429249e+08  1.510767e+09              1.078423e+06   \n",
       "10          2.564325e+07  4.539770e+08              3.922586e+05   \n",
       "\n",
       "    PM14_19_sum_ind  PM14_sum_fireonly  ...  PM17_pop_weighted  \\\n",
       "2      2.507683e+06       2.914370e+06  ...           6.293916   \n",
       "3      2.347263e+07       5.700528e+06  ...           3.570324   \n",
       "4      4.977898e+06       1.491986e+07  ...           6.714218   \n",
       "5      3.657683e+06       1.465774e+08  ...           7.504753   \n",
       "10     2.608940e+06       2.485263e+07  ...           9.502317   \n",
       "\n",
       "    PM17_fire_pop_weighted  PM18_pop_weighted  PM18_fire_pop_weighted  \\\n",
       "2                 0.248648           6.113435                0.251997   \n",
       "3                 0.361549           3.446081                0.244198   \n",
       "4                 2.177770           5.907734                1.523291   \n",
       "5                 0.695209           7.321494                0.429262   \n",
       "10                0.299428           9.293457                0.466535   \n",
       "\n",
       "    PM19_pop_weighted  PM19_fire_pop_weighted  PM14_19_pop_weighted  \\\n",
       "2            6.225786                0.296716              6.094951   \n",
       "3            3.670725                0.516961              3.540151   \n",
       "4            7.622987                3.043645              6.835521   \n",
       "5            7.462359                0.765488              7.535198   \n",
       "10           9.674983                0.719633              9.516468   \n",
       "\n",
       "    PM14_19_fire_pop_weighted  perc_smokemort_perpopSA  \\\n",
       "2                    0.263895                 0.000886   \n",
       "3                    0.350898                 0.001358   \n",
       "4                    2.205434                 0.007310   \n",
       "5                    0.712861                 0.003258   \n",
       "10                   0.537545                 0.002049   \n",
       "\n",
       "    perc_smokemort_perpopInd  \n",
       "2                   0.001668  \n",
       "3                   0.002479  \n",
       "4                   0.012016  \n",
       "5                   0.009092  \n",
       "10                  0.003720  \n",
       "\n",
       "[5 rows x 70 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "##### upload the csv\n",
    "vodonos_country_table = pd.read_csv('../PP2_figs/Vodonos_countrylevel_2014_2019mean.csv')\n",
    "\n",
    "## create a table with results for only countries with indigenous populations\n",
    "vodonos_country_table_ind = vodonos_country_table.copy()\n",
    "#drop columns where there is a no Indigenous population\n",
    "columns = ['perc_smokemort_perpopInd']\n",
    "vodonos_country_table_ind = vodonos_country_table_ind.dropna(axis=0, how='any', subset=columns)\n",
    "\n",
    "\n",
    "vodonos_country_table_ind.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "3af14d79",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/pandas/core/algorithms.py:798: FutureWarning: In a future version, the Index constructor will not infer numeric dtypes when passed object-dtype sequences (matching Series behavior)\n",
      "  uniques = Index(uniques)\n",
      "/n/home10/ebonilla/.conda/envs/pie_deaths/lib/python3.10/site-packages/pandas/core/algorithms.py:798: FutureWarning: In a future version, the Index constructor will not infer numeric dtypes when passed object-dtype sequences (matching Series behavior)\n",
      "  uniques = Index(uniques)\n"
     ]
    },
    {
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KSWtjeRViJg4DAAAkqPrdW10nDIrfzx9dgZHS2trqOiEmTClKdp0Ax/xJKQqkZ7nOAAAAQGIbaAC6/0B2JAQH2ObqLudePWevdknSygG2PTP8FAAAAABIXD5/wHUCIqSlZr9GzVnmOgMAAADe5eUxoGjx6jl7tUtiPM4TwqsL/0O9qwvfKSlPp08W7ru68B5Jt1trfdbaO6y1z0qStbbaWrvaWpsv6UpJe3X6KsRjRvq8horZFwAAAAmqvaHWdcKgdHV0uE4AEkYn/76d0/g5C5V5eJPrDDiUPmqcKq54i+sMAAAAIN/hsQe6o/dI8Oo5e7VLGvhChuBAbzTGVBlj7jLG7DbG2D6P3caYB4wxd7q6uz0AAAAAeIkxXH4bL6bf+F5llla6zgAAAIB3eXkMKFq8es5e7ZIYj3PGGJPdb3XhFTr76sL3K7y6sLX2h2fbt7V2rbV2pXonIH9d0o2Sqo0xfzfGzI7OGUUOtzwDAABIUG0Nx10nDMrx6m2qmDhavob9rlOAuFdYVKCaatcV3hVISdPEnn1R2beVicp+EXkT37xa/uQU1xkAAAARYiQudh0Gp3+OHz/AtmAUjjPQnbpzo3Cc8+HVc/ZklzGm6gyvv2I/xpj7JN0gqVq9A+a7w1/nSloYfu0uSXcZY9aq9w7c/AQBAAAAQMIJ9fSoLRhbN2vHwJLSMzXvXZ90nQEAABIC43HDw3jcCPPqOXuyi/G44THGjJUka+3eQX7uMkmr1TtRWDr9PxS237ZqSfdIWmOtbRxsY/gzq40xX5b0KUkfl7TSGHOPtfY9g93fSGHiMAAAQAI6cXiv2uprXGcMiu3p0f7OLI0JJMt0d7rOAeLa2JrHtSe3UK3BOtcpnjR34XwlHXgkKvvu7uqKyn4ReeWX3eQ6AQAAAJDcXSwgDTwwPxJyHR1XOvs5545UxADO1jVvoI3W2uDJr8MXMzwQfrrSWrt2gI/cr97B8BXqHVRfIWm3MWa1tfbuIVUDAAAAQIxqqzsq29PjOgMRMHrp1UrLK3KdAQAAAG/LdXhsxuNOlztSEQNgPC4KjDGXq/f7EtJ5zHM1xmRLuk3S7Xp5FeiTk4Nt37eGf71f0j3W2gcj0XtyArF6f5/ulPTV8O/XSmttdFYkGgZuVwEAAJCAtv/xv10nDEld9TbVFMyTted+L4BhMH61Nze5rvAcXyCg4nGTVHJoXdSO0dXeFrV9I3J8yakKpGe5zgAAAAAkKT8Bj+3Vc/ZqV9VZXpMxJlfSRknV1trxZ7hI4ZTw6/MlbQpvussY88BZPgIAAAAAcae55oDrBERIWj6ThgEAAHBOXh0DisfjnuvYXu1iPG7oTq7KbMKTggdkjJljjPmNpAb1rsg8Xr2Tg416JwzbPs/3qHdyb5619sZITRruLzyZe4KkE5KqjTGzo3Gc4WDiMAAAQILp6erUtj/82HXGkB16fr0ax17sOgOIa3XlFyrUzcq3feWUlOvKyTlaFNomE4re3cNbaw9Fbd+IHF9SiusEAAAA4KTcETpO0OGxXR03OMhjn+21SAoO8tgF59jHg5KesdauPN+A8N3RL++znxVxfLECAAAAALxC3c7nXScgQvwpaa4TAAAA4H25I3ScoMNjuzpucJDHPttrkRQc5LEZj4uMy/s+McZkG2NuMcbsVO/E6xv0ysnCfScMr1Xvyr8TrLVfC68OHFXW2mpr7XxJD0l66GyTn11g4jAAAECC2fOv36utvsZ1xrDsXv+YOivnu84A4lJ3Wq42P7fFdYbnVI4dq0DzsagfJ8DAdEzobjuhtmPcSR4AAACeMNCdrescHtvVcb1wzl7tyh1gW70kGWPuVO8d0FcN9oB9LlY4aYUx5r7B7gcAAAAAYlFSepbrBERIQ/WLsqGQ6wwAAAB4m1fHgEb6uF44Z6925Q6wjfG4wftReKLwLX1WF75HJL5NAgABAABJREFUZ19duFHS3epdXfiKaK0ufC7hSeENkr7q4vhnwsRhAACABLP1/h+4ToiI3XsOy6Z66qY8QFw4kDtL7SeifpOtmBJISVWxRuZ7kl40akSOg2EKhbTu/Zeou63FdQkAAAAAnMtAFzEEw79+UtKt4YsOBs1au0nS/X023WCMuWEo+wIAAACAWFI84wLXCYiQ/ev+qnV3v991BgAAAIDYxnhcZOSpd6LwPTr/1YXzrbWfGInVhc/D3ZJu99KqwwHXAQAAABg5dbte0NFn17nOiIjWuhrVjblQhYced50CxI2Oggnauv5J1xmeUTp+imZnNitw4oh8R58bkWMmJ6eMyHEwfG01+9TdekKBtAzXKQAAAPCe8caYwX6m1lp7LBoxSHi5A200xtwmqd5ae/9Arw/CavUO3J/0Q2PM2qFe/AAAAAAAsSC7vErJmTnqbPbCdckYruM7NrtOAAAAwOAxHgcvyR1oI+Nxg3ZyYnDf5+qzLShpjaR7rLV7RrDrvFhr1xhjfiBphaTfue6RmDgMAACQULb/4SeuEyJq36Ynlb1gvpIPbHSdAsQ86/NrW1uWbCjkOsUTSidM1Tz/fvmDTSN6XF8XK9jGFnvutwAAAMQCn+l9YGhe+b374xD28jlJnx3C53KH8JmhqHN4bFfHHew5n+21SBps10B3OJd6LzC4a7gx1tpqY0y1pKo+LZ8M7x8AAAAA4pIxRvkTZ8bNjdsTnmXMDwAAjADG44aH8biRNlLHZTzuPCTYeFzfv6Cd/Bd/rXonC//WQc9gBfXy75NzPtcBAAAAGDnpBaWuEyJuz4Fa1wlAzGuoXKJ/NRbpwLbnXac4l5adp8XLl2p+9zb520d20rAkBqVjTE9Hm+sEAAAAYKQUuA5wwKvnPNiu3AG2zZNUZa1dM/wcSVL/u6TfGaH9AgAAAIBnGcPlt/Giu73VdQIAAAAgeXdsKpq8es6Mx7llJDVKulvSeGvtFTEyaVjq/Wch6LjhFH5yAQAAkEAmvupNrhMiLjUrx3UCENMaKpdo3bqn1VKfuJPwM/IKNWXhhVq2bJEuHdWpov2Pymd7nLS0K9nJcTE0XScaXCcAAAAALgVdBzgQdB1wBsEhvLY2gsd/oP8GY0w8X6wAAAAAIME1HtilI88+5joDEdLexJgfAAAAPCvoOsCBoOuAMwgO4TXG4wbn5ITh2621+dbaT1hr97iOGogxJtsYc50xZk6fbScnNTzjpuqVAq4DAAAAMHLSCksVSMtQd1uL65SIKSjMl064rgBiU8uo2XriqY2uM5y6cNkSFex/TOZYjesUmcwC1e/Y5DoDg8DEYQAAAJzB6yTtHuRnEvduToi2+jNsf8XFBcNQPcC2m9R7F3AAAAAAiDtbfvNdyVrXGYiQjqYz/dUZAAAAHsZ4HLyE8bjI2C1pgbW20XXI2Rhjrpd0b5/n91lr3yDpRklWA/9eOcHEYQAAgASy/fc/iqtJw6XT5iqj9kXXGUBM6knP19Mv1SjU3e06xZkLly9R4f7Heu9R5gGhsukKHeXO5LGkqznoOgEAAADetNtau3WEjhUcYFvBCB3bleAA27xwzsEBtnm1S5Iiducqa221Ma/4y/W8SO0fAAAAALyk9fhRbfvDj11nIIJ6OtrV3d6mQGqa6xQAAACcP8bjois4wDYvnHNwgG1e7ZIYjxusu7w+aTjsLp1+5fEqY8waSV+VtMZa2+Qm65V8rgMAAAAwMhqqX9RT//UJ1xnDll5QqqqFyzRn9mSV122UaeYGYMBgWStt9VeppT5x//1ZtGxp76Rhr0hO1fGdW1xXYJCYOAwAAIAEl4jL8Xj1nM/WdabXon6na2PMimgfAwAAAABG2nO//KZ6OtpdZyDCWHUYAAAAHpWIf1D16jkzHhd9a10HnKcq9a4sfPIhSfdJypW02lHTgJg4DAAAEOcaD+7Wn999hX73jiXqbm91nXNe0vKKNHvudM2dUq7pixYrf+xkjb9guebMmaop/sPK2/+o/Ee3uc4EYlJb8VRVly7Xvi3Puk5xZtoFS1R84FHXGacxYxeq60SD6wwMUv3WpxTq7lbwpYjdGBAAAAAYrJEaOM8dYFtwhI7dn1fP2atdA75mrY30hQoDHWdlhI8BAAAAAE61Hj+qF+//gesMRMGRzevU1daiupeec50CAAAA7/HqGFA0efWcvdo14GuMxw2aVyeN9/egTl9x2EjKk3SFl1YblqSA6wAAAABE13M//08dfuZfrjMGZcKE0Qrs3yBJSm04oHGStC88Udic8WMAziGUlKqHn9+v7o6XXKc4VdF92HWC5E+Sb8w8tfX0Pm3cttlpDobmwN9+qpon/yLb062r/lgj4+P+bAAAABhxQYfHdjVwG3R0XOns5xwcqYgBeHUQPdd1AAAAAAAMR093lw6tf0jVD96vxn0vyfj8MXPDdgzOQ//xdqVk5io1r0g33feC6xwAAAB4S9DhsRmPO11wpCIGwHhcdOSf/MJrk27P4gZJ90u6XL3/TK6VtNpau8dl1ECYOAwAAABPKZwwXUn7NjBBGIiG7k6NnrJQ1c8947rEHWOUFNznNMEmpajBX6T259c77cDw+VPTVXnlW9V1Iqie9hYF0rNcJwEAAAyNMb0PDI3b791AA9S5I3Ts4Agdpz+vnrNXu+pGqKFerzzf/AHeBwAAAAAxobujXb99y0IF9253nYIRkF5QqmnX367G/S/JWivDz8oAAECkMR43PIzHjTSvnrNXuxiPGyJr7YPGmPGuOwbDWtuoGFnpmYnDAAAAca5g4izXCYOSnZcnc8J1BRCffDakqSee1b7kFPV0dgz4nqTUdCWlpMqfnCxZKRTqUainW+3NTbI9PSNcHAXWqiuvSinHd7o5vj+gzrI5at/KpOF4sPBz96p40VWuMwAAAJDYgiN0nIEGnHeP0LH7C47QcQZ7zsEodfQ32K7qaIWchyqHxwYAAACAIetqb9W//uMdTBpOEIHUdL3xDy/Jn5TsOgUAAADeFByh4zAe14vxuMGJ+fE4L67UGy+YOAwAABDnYm3isI87qgHRFerWqKppKivMUXrPCQW62xToapGvrUm+9kYZnZD0ytn7NkcKZeSpK7NUnck5OqEUHT56XEd3Ox4sN0ajJkxVRmaGTjQ1qWb3jrO+3Z+coqT6vSPT1lcgWT1jF6n52GG1MGk4bqSVjHadAAAAAGwYYFs07iqdO8C2ge7oPRK8es5e7doUhQYAAAAAiEstxw5pww8+oyPPrlPTQVfX52OkZRSXM2kYAAAAZ+PVMaBo8uo5e7WL8TgPMcbkSLp1gJeC6v193GSt3TuSTa4wcRgAACDOFUycJeP3x8xKoVnN+10nAHHNZ0Oa27ZZOjC4zxkj+Vsb5G9tUKqkbEllVqpbtkzr12864wrG0ZRXPkbzy9OUVvPCqR/JdMyboJ6kNB335eu5J9e94jOzFy6U7+AjI9ppZdRZNkd1m1/Zg9iWkl/qOgEAAAAY6O7VuVE4zkAD7q4GwL16zp7sstZWmwFu1GeMybXWBiPYNRBXF7MAAAAAwKC11tXo/95zpYL7zn6jYsSf9ALG/AAAAHBWnhwDijKvnrMnuxiPGx5jTLYkWWubIrTLKkl3n+V1G/79ekDSPdba30fouJ7jcx0AAACA6EpKz1TR1PmuM87LqOnz5Kvb4zoDwHkyRio8sE5XTEjX0uWLNXXhEuWOqhyRY0+ct0gXph5SWs3W07an1O1S+tEXVHFkndJzXv7ZTSAlTcuWLVL5SE8atlLP+KWqe3GgG90hlplAkpKy8k497+loU93zTA4HAADAyLLWDjRAPSJ31bbWDjQwH3VePWevdoWNxEUlA51rcASOCwAAAADD1lpXo7+8l0nDiSq9qOy0513trTq8cWTHlQEAAOBdHh8DigqvnrNXu8IYjxu6TZLqjTGXRWJn1tpnrbW+vg9JeZLGS1op6UZJX5d0gaTfGmN2GmMujcSxvYYVhwEAABJA2byLdWzLetcZZ2V8PpXG/k2PgIQUaDmu/Jbjypc0IVnqml6ittzRavelqbXbaOeWLWo/EXzF5yqnzlZlQZpkjDZtflHtJxpPe90XSFKou2vAY5akS/66M69y7LM9urjcqmbGMh0PNmtKSlApB54YzmkOmq9gtNqzynX8ucdH9LgYGan5pTp5l8CaJ/+i5/7z3WqvO6Il3/inCufG5c+QAAAA4F1BnT54XRWFY/Tfp5OLFPoIypvnHJQ3u56RNG+A/UT7AgbX/5wAAAAAwFn1dHdp36N/1tPf/Tc1HdjlOgeOpBe+vOLw9j/9VE9/91Nqb6jVyq/+WlWXX++wDAAAAB4SlDfHgKIpKG+ec1De7GI8bnheuWRzBFlrGyU1Sjq5wtlvJa02xqyQtFrSWmPMbdbaH0ezY6QxcRgAACABVC65Upv/52uuM85qzLwL5TvwmOsMABGQ1FyjpOYaZYefV5bl6FjRMh2qqVfw2BGlZ+dqZmWusg49I7X2vueiiRO0brdfrY31mr90mYobXpS/uVY9WUV60YzRvi3PvnwAY5TWdvycHYGW4ypveUTlktQc6bN8JVM4RjZ/jDo7u9RxIqgT+3dI9kD0DwwnQl2dstbKGKN9f/1vtR8/LElq2v0CE4cBAAAw0p6RtKLP89xI7twYM9D+RuKO2Wfj1XP2atfGAbZF+kKF3AG27Y7g/gEAAABg2FrranTw6Qd09Lkn1HSwWvW7tqitvsZ1FhwLdXWe+vqFX31L7Q21kqTa7c8ycRgAAAAneXUMKJq8es5e7WI8LgZZa9eqd9LwXZLWGGOqrbX/ct0VKUwcBgAASAC+QJLrhLMKpGUor2Gb6wwAUeJvb9SoA49olBT+scVx6dDp70mp26VLSrLUPX6cUg4+0rvRSIHmWk3Oz9KhlDR1d7RJkmYuXqrUw4+M3An0Y5NSZLp6Vzu2MvKPm68TbV1q3PW8tHe/sy6MrI6GGrUe3auMUeOUklt0anve9MUOqwAAAIbImN4Hhsb99+4BnT44LmNMlbU2UneXHugu3Q9EaN9D5dVz9mrX2vPcV6QNdFwAAAAAiCprrbo72pSUmt77PBTSwfUP6sX7f6B9j/2fbCjkuBBec+TZl29yn1ZQKu3eKkkaNWeZqyQAABCPGI8bHvffO6+OAUWTV8/Zq12Mx8Uwa+1qY0yVpDWSJrruiRSf6wAAAABEX+P+na4Tzqpq9jz5ms+9eiiA+ObvOKGUul2v2J5SX63l8yYqLSdPuaMqVXl8g4O6XqZwjJrSKmQmLVfPhIsUzBitgy9s7J00jIRT/8ITkqSyS26QJPmSU5UzYY7DIgAAACSo+wfYFslB6IH2dW8E9z8UXj1nT3aFL5TofzfzlREp0hnvvB6M4AUaAAAAAHDedvz5p/r7h6/V87/8ph7/z4/o1zdM11/ff7X2PvInJg1jQPW7tqg9WCdJmnjVG3s3GqOS2Rc6rAIAAIDHeHIMKMq8es6e7GI8Li58RVKVMWaO65BIYeIwAABAAgjue8l1whlll49V5sGnXWcA8LjMw8/qsoKglqYekr+z1UmDtVJrSqFaDlfr0KZ1qtn8mNpqWGE4kbXV7JMkHd/0kCRpzDU3y5eU7DIJAAAACSg8GNx/QDhig9CSFvZ7vslaG4zg/gfNq+fs1a6we/o9XzD8nLPui7ubAwAAABhxrXU1eurbq3X4mX/pyW/dqS2//o6aDrzyxsVAfyeO7JUkHXjyn5KkqdferJTMHIdFAAAA8BKPjwFFhVfP2atdYYzHxTBr7SZJRpH9fXOKicMAAABxLNTTo+1/+m9tufd7rlPOaFxRukxXu+sMADHA19MtX6jL2fH9VfPVsKP/DeGQqJKzCzT+xg/LWqsjj/5Boy56vWZ84FuuswAAAJC4+t9Ze0UE991/X/0HvF3x6jl7tav/ndBzjTGRuvv6vAG2eeWfEwAAAAAJ5MlvfkwdTQ2uMxBjJl79ZhVNna+u1mbte+z/NPHqN2v5J/+f6ywAAAB4j1fHgKLJq+fs1S7G42KYMWZc+Mtclx2RxMRhAACAONXd0a4/vGuZHvnCbepua3GdM6DM0kr5D29xnQEA56VDKa4T4CFdLY0yPr+aql9Q86GdmnLzF2SMcZ0FAACAxPWbfs/nGWNyh7vT8D76D0L3H/Ae6n6Hy6vn7Mmu8J3Q+991/PbhVZ1yU7/nm6y13OEcAAAAwIgKdXdr1z9+7ToDMairtfeamj0P/0GyVove92XG/QAAADAQT44BnWO/w+XVc/ZkF+NxMW+eJKtXrmgds5g4DAAAEKc2/vALqn3xGdcZZ1U6eqwYawEQC0xWoU4c3us6Ax5ie7rVfOAlNe1+Xik5RcooH+86CQAAAAnMWrtJrxyEjsSdtfvv4/7wgPegGWNyjTH3GWOspAZjzG5jzA1DDfPqOXu1K2x1v+e3DT2nV/gu6f0voOh/HAAAAACIup1/+6XrBMSo+p3PS5KOb39W2ZXjlV5Q6rgIAAAAXuTxMSBJjMcNN2qAfTAel1juCv/KxGEAAAB4V3PNQb3wv992nXFOaWp3nQAA52Syi9SgLLXXHXGdAo858PefqeXgThm/n38+AAAA4AX9B4f733V6KD55jmMMxkZJfS9MqJJ033AuVhigxyvn7Mmu8EUUa/psyjXGDPciiv4da7m7OQAAAICRtuXe7+nhL9zqOgMxqulQtQ4+vVbBvTvU09mpjqYG10kAAADwLk+OAfXBeNzwMB6XgIwx2caYf6j33xeJicMAAADwspf++gv1dHa4zjinpOO7XCcAwBlZK/lKJqghlKHWI3td58CDqn/7HWVUTtLFP9qo9JLRrnMAAACQ4MKD0Pf32XRD+O7TQ2KMmafT71y9xlo7pEFSY8ydenmgtb8fDmWfknfP2atdYaslBfs8v2eYXX3vkh6UtGqo+wMAAACAwepoatDT3/t3Pf61D/UO7gFD9MiX7tCUa2/W9b/coNTcAtc5AAAA8CgvjwExHueNrjDG42JAeMLwxyTtUe9q01a9q0w3uS2LnIDrAAAAAETe3n/9wXXCOeVUVMm0MHEYgHdYK/nHzlVLj18dwTp1NB5Xz+7drrPgYbanWz3trUrJLXKdAgAAMDzGSD7juiJ2GU99725V76Bmbvj5PZJWDnFffS8gqLbW3j6MrrM15BpjqoYx8O7Vc/Zkl7U2aIxZrZcvUKgyxtxlrR3Kndzv6/d8lbU2ONQ2AAAAADiXo88/qRf+9zsK7nlRrXU1ag8ed52EONF8ZJ9yKqqUlJruOgUAAMQrxuOGh/G488F4nEe6Em08zhhzmYb+fZd6J7xbSbcbY4azn/ORGz7eAr38z83J/8BYDW/Fb89h4jAAAECcaQseV+32Ta4zzqlwVJm0n4nDALzBVzFTTZ1S09bNrlMQQ4zPr9Ilr3adAQAAAJwSHoS+XNLG8KYVxpjbrLVrBrOf8B3J+95Re7gDtMFhfv6MvHrOXu0Kt60xxuRKuiu86U5jzAZr7f1n+Vj/rgd0+l3rV1lr1w63DQAAAAAGcnD9Q9r4oy/o6LPrXKcgTuWOnaL8ibNcZwAAACAGeHgMKDjMz5+RV8/Zq13htkQaj5uvgSfc2kHsw0i6ITI55328k0523mGt3TuCDVHncx0AAACAyDr8zMO9y2Z6WGpOgbIbmTQMwBt8Y+fp0K4daqre4joFMaZ48auUWjDKdQYAAABwGmvtJp0+mH2PMWbF+X7eGHODXh7AlqT5w7j7+EkPnOW14HD379Fz9mxXuO1uSXf32XRf+KKIczVVGWM2qvfu7SetHMxFDgAAAAAwGDv+73/0l/ddxaRhRNX0G26X8dYqdgAAAPAwj44BMR7noa5wW0KMx1lrv2at9UnKkzRevb8fq9W7ivMe9U7SPflQv+dGL0/c7b89Wg+Fj9n3uJ+w1vZddTouMHEYAAAgzjQf2e864YxKp83T3AlFmpZSK1/jYdc5ACBJamrtku3ucp2BGFR++RtcJwAAAAADCt9per5evrP4A+c5CH2XpPvCT6vVOzC+KQI9aySdaT+rhrv/8DE8dc5e7wq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      "text/plain": [
       "<Figure size 4200x2400 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Figure S12 --- used in paper\n",
    "#population at risk per country \n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as matplotlib\n",
    "import cartopy\n",
    "from cartopy import config\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.mpl.ticker as cticker\n",
    "\n",
    "# drop some rows\n",
    "\n",
    "#world = world[(world.mean_mort_total_x != np.nan) ]\n",
    "fig, axes = plt.subplots(1,2, figsize=[14, 8], dpi=300,subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "axes = axes.flatten()\n",
    "\n",
    "\n",
    "cax=axes[0].set_extent([-85, -30, -60, 15])\n",
    "\n",
    "vmin_TIs =SA_countries['perc_smokemort_perpopInd'].min()\n",
    "vmax_TIs =SA_countries['perc_smokemort_perpopInd'].max()\n",
    "\n",
    "\n",
    "myplot = SA_countries.plot(column='perc_smokemort_perpopSA',\n",
    "                ax=axes[0], legend=False,  cmap='YlOrBr')\n",
    "\n",
    "cax = fig.add_axes([0.48, 0.1, 0.02, 0.8])\n",
    "sm = plt.cm.ScalarMappable(cmap='YlOrBr', norm=plt.Normalize(vmin=vmin_TIs, vmax=vmax_TIs))\n",
    "sm._A = []\n",
    "cbr = fig.colorbar(sm, cax=cax,shrink=0.5)#, label='Smoke mortality / population [\\%]', fontsize=20)\n",
    "cbr.ax.tick_params(labelsize=20)\n",
    "axes[0].set_title('a) Population at risk in each country', loc='left', size=20, y=1.05)\n",
    "\n",
    "vmin_TIs =SA_countries['perc_smokemort_perpopInd'].min()\n",
    "vmax_TIs =SA_countries['perc_smokemort_perpopInd'].max()\n",
    "cax_TIs=axes[1].set_extent([-85, -30, -60, 15])\n",
    "myplot_TIs = SA_countries.plot(column='perc_smokemort_perpopInd',\n",
    "                ax=axes[1], legend=False, cmap='YlOrBr')\n",
    "\n",
    "cax_TIs = fig.add_axes([0.9, 0.1, 0.02, 0.8])\n",
    "sm_TIs = plt.cm.ScalarMappable(cmap='YlOrBr', norm=plt.Normalize(vmin=vmin_TIs, vmax=vmax_TIs))\n",
    "sm_TIs._A = []\n",
    "cbr_TIs = fig.colorbar(sm_TIs, cax=cax_TIs,shrink=0.6)\n",
    "cbr_TIs.ax.tick_params(labelsize=20)\n",
    "cbr_TIs.set_label('Smoke mortality per population [\\%]', fontsize=20)\n",
    "##adding territories outline on axis[1]\n",
    "indterr_map.to_crs(ccrs.PlateCarree()).boundary.plot(ax=axes[1], color='k',linewidth=0.5)\n",
    "##\n",
    "\n",
    "axes[1].set_title('b) Population at risk in Indigenous territories', loc='left', size=20, y=1.05)\n",
    "\n",
    "\n",
    "plt.suptitle(\"Population at risk for premature death due to 2014-2019 mean smoke PM$_{2.5}$ exposure.\", size=24, y=1.05)\n",
    "plt.show()\n",
    "fig.savefig('../PP2_figs/AmazonHealth_FigureS12.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "31745387",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 3600x2400 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##FIGURE in paper: Figure S9\n",
    "# population-weighted smoke per country for country average and average in Indigenous territories\n",
    "fig, ax = plt.subplots(figsize=(12, 8), dpi=300)\n",
    "x = np.arange(len(vodonos_country_table_ind[\"COUNTRY\"].unique()))\n",
    "#y = np.arange(len(vodonos_country_table_ind['PM14_19_fire_pop_weighted'])-4)\n",
    "# Define bar width. We'll use this to offset the second bar.\n",
    "bar_width = 0.4\n",
    "\n",
    "\n",
    "width = 0.35  # the width of the bars\n",
    "rects1 = ax.bar(x- bar_width/2 , vodonos_country_table_ind['PM14_19_fire_pop_weighted_ind'],bar_width,alpha=0.75,\n",
    "       align='center',ecolor='black',capsize=10,label='Smoke means in Indigenous territories', color='firebrick')\n",
    "rects2 = ax.bar(x + bar_width/2, vodonos_country_table_ind['PM14_19_fire_pop_weighted'] ,bar_width, label='Smoke means in the country', color='purple')\n",
    "\n",
    "\n",
    "ax.set_ylim([0,4])\n",
    "#ax.set_yticks(y,fontsize=20)\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax.set_ylabel('Population-weighted smoke PM$_{2.5}$ ($\\mu$g m$^{-3}$)', fontsize = 20)\n",
    "ax.set_title('Annual mean population-weighted smoke PM$_{2.5}$ in South America 2014-2019.', y=1.05, fontsize = 20);\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(vodonos_country_table_ind[\"COUNTRY\"].values, fontsize = 14, rotation =45)\n",
    "ax.legend(loc='upper right', bbox_to_anchor=(1, 1),\n",
    "          ncol=1, borderaxespad=0.5, fontsize = 18 );\n",
    "fig.savefig('../PP2_figs/AmazonHealth_Fig9S.png', dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe74459e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f59aacd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:.conda-pie_deaths]",
   "language": "python",
   "name": "conda-env-.conda-pie_deaths-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
